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Original ArticlesHealth Services Research
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Health Education and General Practitioner Training in Hypertension Management: Long-Term Effects on Kidney Function

Tazeen H. Jafar, John C. Allen, Imtiaz Jehan, Aamir Hameed, Seyed Ehsan Saffari, Shah Ebrahim, Neil Poulter and Nish Chaturvedi
CJASN June 2016, 11 (6) 1044-1053; DOI: https://doi.org/10.2215/CJN.05300515
Tazeen H. Jafar
*Program in Health Services & Systems Research and
†Department of Community Health Science and
‡Division of Nephrology, Department of Medicine, Tufts Medical Center, Boston, Massachusetts;
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John C. Allen
§Section of Cardiology, Department of Medicine, Aga Khan University, Karachi, Pakistan;
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Imtiaz Jehan
†Department of Community Health Science and
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Aamir Hameed
§Section of Cardiology, Department of Medicine, Aga Khan University, Karachi, Pakistan;
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Seyed Ehsan Saffari
‖Centre for Quantitative Medicine, Office of Clinical Sciences, Duke-National University of Singapore Graduate Medical School, Singapore;
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Shah Ebrahim
¶London School of Hygiene & Tropical Medicine, London, United Kingdom;
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Neil Poulter
**International Centre for Circulatory Health and Imperial Clinical Trials Unit, Imperial College London, London, United Kingdom; and
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Nish Chaturvedi
††Institute of Cardiovascular Sciences, University College London, London, United Kingdom
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Abstract

Background and objectives In the Control of Blood Pressure and Risk Attenuation trial, a 2×2 factorial design study (2004–2007), the combined home health education and trained general practitioner intervention delivered over 2 years was more effective than no intervention (usual care) in lowering systolic BP among adults with hypertension in urban Pakistan. We aimed to assess the effectiveness of the interventions on kidney function.

Design, participants, settings, & methods In 2012–2013, we conducted extended follow-up of a total of 1271 individuals aged ≥40 years with hypertension (systolic BP ≥140 mmHg, diastolic BP ≥90 mmHg, or receipt of antihypertensive treatment) and serum creatinine measurements with 2 years in-trial and 5 years of post-trial period in 12 randomly selected low-income communities in Karachi, Pakistan. The change in eGFR from baseline to 7 years was assessed among randomized groups using a generalized estimating equation method with multiple imputation of missing values.

Results At 7 years of follow-up, adjusted mean eGFR remained unchanged, with a change of −0.3 (95% confidence interval [95% CI], −3.5 to 2.9) ml/min per 1.73 m2 among adults randomly assigned to the combined home health education plus trained general practitioner intervention compared with a significant decline of −3.6 (95% CI, −5.7 to −2.0) ml/min per 1.73 m2 in those assigned to usual care (P=0.01, modified intention-to-treat analysis). The risk for the combined intervention of death from kidney failure or >20% decline in eGFR relative to usual care was significantly reduced (risk ratio, 0.47; 95% CI, 0.25 to 0.89).

Conclusions The combined home health education plus trained general practitioner intervention is beneficial in preserving kidney function among adults with hypertension in communities in Karachi. These findings highlight the importance of scaling up simple strategies for renal risk reduction in low- and middle-income countries.

  • glomerular filtration rate
  • home health education
  • training general practitioners
  • creatinine
  • follow-up studies
  • health education
  • humans
  • hypertension
  • Pakistan
  • renal insufficiency

Introduction

CKD is ranked as the 18th leading (and rising) cause of death by the Global Burden of Disease Study 2010 (1). About one in five adults in South Asia has CKD (2,3). However, evidence to inform prevention strategies for CKD is scarce, especially in low- and middle-income countries (LMICs).

GFR is an excellent marker of kidney function. Decline in GFR is a strong predictor of progression to advanced stages of CKD and thus a valid subclinical marker in observational studies and clinical trials (4,5).

We previously reported 2-year outcomes of the Control of Blood Pressure and Risk Attenuation (COBRA) trial (2004–2007) in Karachi, Pakistan (6). The main trial was designed to assess the effect of family-based home health education (HHE) delivered every 3 months to households in randomized clusters, with a second approach of training general practitioners (GPs) to optimally manage hypertension. We found that the combined strategy (HHE plus trained GPs) was the most beneficial for lowering BP in people with hypertension at 2 years, with a reduction of 5 mmHg in systolic BP compared with no intervention (usual care) (6). At 7 years, the benefit of intervention on BP was attenuated to 2.1 mmHg but still evident (7). However, it remains unclear whether the benefit translates into preservation of kidney function among individuals with hypertension. Clearly, a broader scope of benefit and associated advantages in cost-effectiveness would increase the likelihood of wider adoption of these interventions in public health programs.

We therefore conducted a 7-year follow-up of all the COBRA trial participants, inclusive of the 2-year in-trial and 5-year postintervention period, to determine the effect of trial interventions on change in eGFR among adults with hypertension in Karachi, Pakistan. We also tracked all-cause mortality and death from kidney failure among the trial participants.

We hypothesized that adults with hypertension who were randomly assigned to the HHE plus trained GP intervention would exhibit a slower decline in eGFR than those assigned to a single intervention (GP only or HHE only) or no intervention.

Materials and Methods

The Ethics Review Committee at the Aga Khan University approved the main trial and the postintervention follow-up. All participants provided informed consent.

COBRA Trial Description

As previously described, the COBRA trial was a 2×2 factorial design, cluster randomized controlled trial to determine the effect of family-based HHE and/or special training of GPs on the BP of adults with hypertension (registration number NCT00327574, ClinicalTrials.gov) (6). Briefly, 12 communities (with about 250 households each) were randomly selected using multistage sampling from middle- to low-income areas in Karachi. Patients eligible for study enrollment were residents of the selected clusters who were aged ≥40 years and had known hypertension or consistently elevated BP on two separate visits (mean of last two of three measurements of systolic BP ≥140 mmHg or mean diastolic BP ≥90 mmHg). Computer-generated codes were used to randomly assign the 12 clusters to four groups of three clusters each: HHE only, trained GPs only, HHE plus trained GPs, and no intervention (usual care). A total of 1341 adults from the 12 randomly selected clusters were included in the trial (6).

HHE

Trained community health workers visited households and delivered healthy lifestyle messages (reduce dietary sodium and total and saturated fat consumption; increase fruit, vegetable, and low-fat dairy product intake; stop smoking; maintain a normal body weight; and increase physical activity) using a behavior change communication strategy. In addition, they underscored the importance of adherence to antihypertensive medications. Home visits were made every 3 months for 2 years (i.e., the duration of the trial).

GP Education

In the six study areas assigned to this intervention, all GPs were invited for training. The training curriculum was based on the seventh report of the Joint National Committee and the Fourth Working Party of the British Hypertension Society guidelines (8,9). Target BP was <140/90 mmHg for all individuals.

Screening and Recruitment

Trained research staff visited all households in each of the 12 clusters and screened all eligible adults aged ≥40 years for hypertension after obtaining informed consent. Those with an elevated BP or known hypertension were invited to participate and advised to consult a local GP. The baseline measurements were conducted over 1 year (2004–2005).

A routine physical examination was performed and a fasting blood specimen collected in the morning after an overnight fast. First-morning urine sample was collected and concentrations of albumin and creatinine were measured.

Serum creatinine measurements were calibrated at the Cleveland Clinic laboratory (reference laboratory), where serum creatinine levels were measured again using the Roche enzymatic creatinine assay (in duplicate); this is traceable to the National Institute of Standards and Technology creatinine reference measurement (10). The eGFR was computed using the CKD-Epidemiology Collaboration (CKD-EPI) equation, validated for the Pakistani population (10).

In-Trial Follow-up during 2 Years of Intervention

Hypertensive adults were evaluated by trained field staff in all four groups, masked to randomization status, at 4-monthly intervals over the 2 years of intervention, during which three consecutive BP readings were taken. Blood and urine measurements were not collected at 2 years.

Postintervention Follow-up

Trained outcomes assessors masked to randomization status visited the homes of the participants 7 years after randomization (2012–2013) to establish contact and track vital status. Informed consent was obtained for participation in the study. BP was measured. Fasting blood and urine samples were collected using the same protocol as during baseline.

For individuals who had reportedly died, a dedicated field team contacted the next of kin or nearest relative to verify mortality. Efforts were made to obtain information on the cause and date of death, and death certificates were tracked from the hospital and/or the graveyard, as well as the district mortality registers.

Analysis

No power calculations were done as this was a post-trial follow-up.

Primary Outcome.

The primary outcome for the analysis was change in CKD-EPI eGFR from baseline to 7-year post-trial follow-up visit.

Secondary Outcomes.

The secondary outcomes were: (1) >20% decline in eGFR from baseline to 7-year follow-up, (2) mortality from kidney failure, (3) composite of >20% decline in eGFR from baseline to 7-year follow-up visit or all-cause mortality, and (4) composite of >20% decline in eGFR from baseline to 7-year follow-up visit or death from kidney failure. In addition, we also evaluated change in urine albumin-to-creatinine ratio (ACR) from baseline to end of 7-year follow-up.

Statistical Analyses

Analyses were performed using Stata software, version 12 (Stata Corp., College Station, TX), and SAS software, version 9.13 (SAS Institute, Inc., Cary, NC). Extreme outliers (change in eGFR±31 ml/min per 1.73 m2 during 7 years, defined as three times the interquartile range of change in eGFR) corresponding to 90th or 10th percentile cluster-specific values, were truncated (11).

Main analyses were performed on all participants with baseline eGFR measurements under a modified intention-to-treat (ITT) principle—modified ITT because not all randomly assigned patients (n=1341) were entered into the final analysis as those without baseline eGFR were excluded (n=70) from all analyses.

The multiple regression was adjusted for clustering and known predictors of CKD, including age at baseline, sex, baseline systolic and diastolic BP, body mass index, baseline eGFR, baseline ACR, and presence of diabetes (12–14). At the 2-year postintervention follow-up, an analysis that used a conventional main effect and interaction model for a 2×2 factorial design showed a statistically significant interaction between the HHE and the trained GP study intervention factors. Consequently, at the 7-year follow-up, the standard factorial analysis was abandoned in favor of a more interpretable one-way layout approach comparing treatment means among the four groups. This was the same approach used previously for the 2-year analysis (6,15). For consistency and comparability among reported results, we have used the four-group one-way layout approach in the present analysis.

The generalized estimating equations (GEE) approach was used in the main analysis of eGFR and secondary end points with adjustment for clustering. Multiple imputation was employed to handle bias due to missing 7-year eGFR (50.4%) follow-up values. All F-tests comparing eGFR among intervention groups were GEE based and constructed from multiple imputation samples, with the exception of the per-protocol sensitivity analysis on those with eGFR available at 7 years (n=630).

Variables were included in the eGFR multiple imputation model if they were risk factors for progression of kidney disease. Therefore, the multiple imputation model included baseline age, sex, baseline body mass index, history of diabetes, systolic and diastolic BP at baseline, eGFR at baseline, and urine albumin excretion at baseline. The resultant dataset allowed us to use data from all 1271 individuals randomly assigned. Ten imputed datasets were generated using the fully conditional specification method and predictive mean matching of continuous variables under the missing-at-random assumption. After imputation, each dataset was analyzed separately using the GEE method, with F-tests constructed from the pooled imputed samples.

We considered P≤0.05 to represent statistically significant differences for the omnibus tests and comparisons among group means; P≤0.10 was considered to indicate significant differences for interactions. We report marginal adjusted means and 95% confidence intervals (95% CIs) for treatment effects adjusted for the other variables in the model.

Logistic regression used to obtain 7-year follow-up risk ratios (RRs) and 95% CIs for the intervention groups relative to usual care as the reference group (16). The Miettinen doubling-of-cases approach was used to estimate RRs through use of a linear mixed model for a cluster sample design with logit link, binary error distribution, maximum likelihood parameter estimation, and sandwich method (robust) variance-covariance estimation. Calculations were performed using SAS PROC GLIMMIX with the EMPIRICAL variance estimation option (17).

To evaluate factors influenced by intervention that could potentially mediate the primary outcome, we accounted for change in systolic BP from baseline at 7-year follow up in the main analysis on change in eGFR (7).

Results

The Consolidated Standards of Reporting Trials diagram is shown in Figure 1, and baseline characteristics of clusters and participants are presented in Table 1. Baseline characteristics of participants alive at the post-trial visit are summarized in Supplemental Table 1.

Figure 1.
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Figure 1.

Study flowchart. *Participants with eGFR available at baseline were included in the modified intention-to-treat analysis (n=1271). Participants with eGFR at baseline and follow-up were included in the per-protocol analysis (n=630). HHE, home health education; GP, general practitioner.

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Table 1.

Baseline characteristics of study participants by intervention group

Response Rate during Post-Trial Follow-up

At the 7-year follow up, 283 (22.3%) members of the original cohort with a baseline eGFR measurement had reportedly died. An eGFR measurement was available for 630 (64%) of the total remaining cohort with baseline eGFR targeted for recruitment at follow up (n=988). Urine ACR was available for 648 participants at follow-up. However, comparison of characteristics between participants alive at the post-trial follow up with an eGFR (n=630) measurement versus those without an eGFR measurement (n=358) revealed no significant differences in baseline characteristics (Supplemental Table 1).

Change in eGFR

By the end of the 7-year follow-up period, mean follow-up eGFR (89.3 ml/min per 1.73 m2) was higher in the combined intervention group than in the single-intervention group (86.8 and 82.7 ml/min per 1.73 m2) and no-intervention (usual care) group (84.9 ml/min per 1.73 m2) groups (P=0.002) (Table 2). The unadjusted change from baseline eGFR showed nonsignificant increase in the combined HHE plus GP group compared with a decline in individuals assigned to single or no intervention (usual care) (P=0.01) (Table 2). Model-based, adjusted mean changes in eGFR differed significantly among the four intervention groups (P=0.01). Of particular interest is that eGFR showed a nonsignificant change of −0.3 (95% CI, −3.5 to 2.9) ml/min per 1.73 m2 in the HHE plus GP group compared with a significant change of −3.6 (95% CI, −5.7 to −2.0) ml/min per 1.73 m2 in the no-intervention group (P=0.01 difference among groups and P=0.04 difference between groups) (Table 2). As shown in Figure 2, the histogram of the model-based, individual predicted changes in eGFR for individuals receiving the combined HHE plus trained GP intervention demonstrated a positive shift, indicating an increase in eGFR compared with reductions in eGFR for the usual care and single-intervention groups. The model residual diagnostics are shown in Supplemental Figures 1 and 2. The intraclass coefficient for change in eGFR was 0.03.

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Table 2.

Mean eGFR and change in eGFR at 7-year follow up

Figure 2.
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Figure 2.

Histogram of the model-based, individual predicted changes in eGFR for individuals (n=1271) receiving the combined home health education (HHE) plus trained general practitioner (GP) intervention, HHE only, GP only, or usual care.

No significant interactions were detected between intervention and baseline characteristics, including age, baseline systolic BP, baseline eGFR, or urine albumin excretion (interaction P>0.15 for each).

In addition to the baseline variables, upon accounting for change in systolic BP from baseline to 7 year, the significant difference in change in eGFR among randomized group persisted (P=0.02); however, the level of significance between the HHE plus trained GP group versus the usual care group was attenuated (P=0.07) (Supplemental Table 2) (7).

A >20% Decline in Baseline eGFR

Table 3 shows that the percentage of individuals with a >20% decline in baseline eGFR was lower for the combined intervention (5.6%) than usual care (10.3%) (P=0.06). The adjusted RR for a >20% decline in baseline eGFR for the combined intervention relative to usual care was 0.53 (95% CI, 0.29 to 0.96) (Table 4).

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Table 3.

Comparison among intervention groups on frequency (%) of all-cause and kidney failure mortality, 20% decline in baseline eGFR, and composite causes at 7-year follow-up

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Table 4.

Adjusted risk ratiosa on 20% decline in baseline eGFR, death from kidney failure or decline in eGFR, and all-cause mortality at 7-year follow-up (n=1271)

All-Cause Mortality and Death from Kidney Failure

A total of 283 of 1271 (22.3%) participants died during the 7 years of follow-up. The differences in all-cause mortality or death from kidney failure were not statistically significant. However, the adjusted RR for the composite outcome of death from kidney failure or >20% decline in baseline eGFR was significantly reduced to 0.47 (95% CI, 0.25 to 0.89) for the combined intervention versus usual care (Table 4).

Sensitivity and Subgroup Analysis

The per-protocol analysis yielded results consistent in direction of change in eGFR among the randomized groups with eGFR showed a nonsignificant increase of 1.3 (95% CI, −2.0 to 4.6) ml/min per 1.73 m2 in the HHE plus trained GP group compared with a significant change of −4.1 (95% CI, −4.8 to −3.4) ml/min per 1.73 m2 in the no-intervention group (P=0.3 difference among groups and P=0.002 difference between groups) (Supplemental Table 3).

Analysis restricted to individuals with available information at follow-up showed improved adherence to antihypertensive therapy with blockers of the renin-angiotensin system in the combined HHE plus GP group (26.1%) relative to usual care (18.2%), but this difference was not statistically significant (P=0.31) (Supplemental Table 4).

Change in ACR

In the per-protocol analysis, mean urine ACR (mg/g) increased in all four groups, with nonsignificant differences among groups (P=0.6). Adjusted mean increase was lowest for the combined HHE plus trained GP intervention at 10.3 (95% CI, 8.8 to 11.8) mg/g, followed by GP only at 10.2 (95% CI, 8.1 to 16.2) mg/g, HHE only at 25.8 (95% CI, 9.1 to 42.5) mg/g, and usual care at 13.4 (95% CI, 5.4 to 21.5) mg/g.

Discussion

After 7 years of follow up—5 years after cessation of intervention—adjusted mean eGFR levels remained unchanged, with a change of −0.3 (95% CI, −3.5 to 2.9) ml/min per 1.73 m2 among adults randomly assigned to the combined HHE plus trained GP intervention compared with a significant change of −3.6 (95% CI, −5.7 to −2.0) ml/min per 1.73 m2 in those assigned to usual care (P<0.01, modified ITT analysis). Risks of a >20% decline in eGFR from baseline associated with combined intervention versus usual care was halved (RR, 0.53; 95% CI, 0.29 to 0.96). The benefit of combined HHE plus trained GP intervention on preserving kidney function highlights the potential for scaling up simple strategies to reduce renal risk.

The combined effect of healthy lifestyle and medication could account for the finding of a greater impact of our combined (HHE plus trained GP) intervention versus either of these interventions alone compared with usual care. Results from trials on weight management and healthy diets (rich in fruit and vegetables and low in animal protein) demonstrate an increase in or preservation of eGFR (18,19). Physical activity has a beneficial effect on cardiometabolic parameters, and observational data suggest that benefit may extend to slowing progression of kidney disease (20,21). In the Look Action for Health in Diabetes trial, behavioral intervention of intensive weight loss and physical activity reduced the incidence of very high-risk CKD (eGFR<45 ml/min per 1.73 m2) among adults with type 2 diabetes (22). In terms of medication, trials of antihypertensive therapy, especially blockers of the renin-angiotensin system, demonstrate a beneficial long-term effect on reduction in progression to kidney failure—especially among individuals with CKD (23,24).

Population and health system characteristics differ between developing and developed countries. In Pakistan, as in many LMICs, diets are poor in fruit and vegetables (99% have less than one serving per day), and most individuals with hypertension have uncontrolled BP (25). Thus, the scope for improvement from interventions targeting individual and provider behavior is considerable. COBRA was designed to emphasize behavior change of the participants and the providers. We demonstrated benefit of combined intervention on BP at 2 years, which attenuated but persisted till 7 years. The latter could only partially account for the observed benefit of combined intervention on eGFR. There were indications of improvement in behavior (physical activity, tobacco use, and adherence to antihypertensive medications) at 2 years (6). There was no intended crossover during the post-trial follow-up, and the study clusters were geographically far apart (minimum distance, 10 km). Hence, it is unlikely that participants allocated to usual care would seek care from providers in the HHE and GP intervention areas. Furthermore, HHE intervention by community health workers was discontinued at 2 years. Thus, it is possible that part of the benefit of the combined intervention is derived from a legacy effect of improvement in diet, physical activity, and BP observed at 2 years, possibly acting synergistically to preserve kidney function in the long term (26).

The clinical and public health implications of a greater preservation of eGFR by 3.3 ml/min per 1.73 m2 over 7 years in communities randomly assigned to the combined intervention compared with usual care can be substantial. In the population-based Coronary Artery Risk Development in Young Adults study, black patients had a 0.10 (95% CI, −0.09 to 0.30)–ml/min per 1.73 m2 per year faster decline in eGFR during 10–15 years of follow-up compared with white patients. They were also more likely to develop CKD. Data from population-based studies, including a meta-analysis of individual-patient data on 1.7 million participants from 35 cohorts (including Asian populations), provide robust evidence that even a small decline in eGFR (e.g., 20% from baseline over 2 years) increases the hazard ratio of ESRD by 2.5 (95% CI, 2.1 to 3.1) compared with no change in eGFR (4,5). The population attributable risk of the relatively small decrease in eGFR at a population level is not trivial, especially in Asian countries with a rising prevalence of hypertension and diabetes (27).

Our findings have limitations. First, the high mortality rate (22.3%) introduces the potential of healthy survivor bias in the analysis on change in eGFR. In addition, 34% of the trial population alive at follow-up did not have an eGFR measurement at follow-up. However, we used multiple imputation for missing values in the main analysis and GEE, which relies on population average of all available readings. Second, our study was underpowered to detect a difference in the hard outcome of kidney failure or other established end points of kidney disease progression, including doubling of serum creatinine or 57% reduction in eGFR or 30% reduction in eGFR over 2 years (5). Evaluation of such questions requires a much larger sample. However, lesser declines correlate well with established end points (28,29).

Third, because eGFR was not measured at the end of intervention at 2 years, it was not possible to determine the immediate effects of intervention on eGFR or, therefore, to determine whether continued intervention would have had a greater effect at 7 years than that shown 5 years after cessation of intervention. Fourth, the eGFR equations have not been validated for serial measurement in kidney function among the general population cohorts and could be influenced by changes in weight and muscle mass actively promoted by the healthy lifestyle component (diet and physical activity) of the intervention. However, an increase in muscle mass is unlikely to bias the results in favor of intervention. Finally, the study was not designed to assess the influence of individual components of the packaged intervention on the outcome. However, we were able to demonstrate the overall effectiveness of HHE combined with trained GP intervention in preserving kidney function in a native urban South Asian population.

These findings have implications for other LMICs, such as China and countries in Latin America, which have a similar risk factor profile, burden of hypertension and diabetes, and a health system infrastructure that has neglected noncommunicable diseases (30,31).

The main strengths of our study are the following: (1) long-term follow-up information on eGFR in a public health intervention trial of lifestyle plus GP training on drug intervention (32,33) (our study provides an unique opportunity to examine the long-term effects at 7 years in a representative cohort of hypertensive adults in an LMIC setting), (2) use of standardized measures of CKD-EPI eGFR with an equation validated in the local population, and (3) analysis according to the original group assignment at randomization (34).

In conclusion, our findings indicate that public health interventions using effective lifestyle modification approaches and training of providers in a primary care setting can yield long-term benefits for preserving kidney function. These simple strategies are implementable and should be evaluated for cost-effectiveness of prevention of CKD in LMICs.

Disclosures

None.

Acknowledgments

The authors thank all members of the Control of Blood Pressure and Risk Attenuation trial operational team, including coordinators, data manager, field supervisors, data collectors, and other support staff, for their hard work. The authors also thank the trial participants for their cooperation.

The study was supported by a research award (093382/Z/10/Z) from Wellcome Trust, United Kingdom.

The work was presented in the form of a late-breaking abstract at the World Congress of Nephrology in Cape Town, South Africa, March 13–17, 2015.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Footnotes

  • Published online ahead of print. Publication date available at www.cjasn.org.

  • See related editorial, “Strategies for BP Control in Developing Countries and Effects on Kidney Function,” on pages 932–934.

  • This article contains supplemental material online at http://cjasn.asnjournals.org/lookup/suppl/doi:10.2215/CJN.05300515/-/DCSupplemental.

  • Received May 13, 2015.
  • Accepted February 10, 2016.
  • Copyright © 2016 by the American Society of Nephrology

References

  1. ↵
    1. Kassebaum NJ,
    2. Bertozzi-Villa A,
    3. Coggeshall MS,
    4. Shackelford KA,
    5. Steiner C,
    6. Heuton KR,
    7. Gonzalez-Medina D,
    8. Barber R,
    9. Huynh C,
    10. Dicker D,
    11. Templin T,
    12. Wolock TM,
    13. Ozgoren AA,
    14. Abd-Allah F,
    15. Abera SF,
    16. Abubakar I,
    17. Achoki T,
    18. Adelekan A,
    19. Ademi Z,
    20. Adou AK,
    21. Adsuar JC,
    22. Agardh EE,
    23. Akena D,
    24. Alasfoor D,
    25. Alemu ZA,
    26. Alfonso-Cristancho R,
    27. Alhabib S,
    28. Ali R,
    29. Al Kahbouri MJ,
    30. Alla F,
    31. Allen PJ,
    32. AlMazroa MA,
    33. Alsharif U,
    34. Alvarez E,
    35. Alvis-Guzmán N,
    36. Amankwaa AA,
    37. Amare AT,
    38. Amini H,
    39. Ammar W,
    40. Antonio CA,
    41. Anwari P,
    42. Arnlöv J,
    43. Arsenijevic VS,
    44. Artaman A,
    45. Asad MM,
    46. Asghar RJ,
    47. Assadi R,
    48. Atkins LS,
    49. Badawi A,
    50. Balakrishnan K,
    51. Basu A,
    52. Basu S,
    53. Beardsley J,
    54. Bedi N,
    55. Bekele T,
    56. Bell ML,
    57. Bernabe E,
    58. Beyene TJ,
    59. Bhutta Z,
    60. Bin Abdulhak A,
    61. Blore JD,
    62. Basara BB,
    63. Bose D,
    64. Breitborde N,
    65. Cárdenas R,
    66. Castañeda-Orjuela CA,
    67. Castro RE,
    68. Catalá-López F,
    69. Cavlin A,
    70. Chang JC,
    71. Che X,
    72. Christophi CA,
    73. Chugh SS,
    74. Cirillo M,
    75. Colquhoun SM,
    76. Cooper LT,
    77. Cooper C,
    78. da Costa Leite I,
    79. Dandona L,
    80. Dandona R,
    81. Davis A,
    82. Dayama A,
    83. Degenhardt L,
    84. De Leo D,
    85. del Pozo-Cruz B,
    86. Deribe K,
    87. Dessalegn M,
    88. deVeber GA,
    89. Dharmaratne SD,
    90. Dilmen U,
    91. Ding EL,
    92. Dorrington RE,
    93. Driscoll TR,
    94. Ermakov SP,
    95. Esteghamati A,
    96. Faraon EJ,
    97. Farzadfar F,
    98. Felicio MM,
    99. Fereshtehnejad SM,
    100. de Lima GM,
    101. Forouzanfar MH,
    102. França EB,
    103. Gaffikin L,
    104. Gambashidze K,
    105. Gankpé FG,
    106. Garcia AC,
    107. Geleijnse JM,
    108. Gibney KB,
    109. Giroud M,
    110. Glaser EL,
    111. Goginashvili K,
    112. Gona P,
    113. González-Castell D,
    114. Goto A,
    115. Gouda HN,
    116. Gugnani HC,
    117. Gupta R,
    118. Gupta R,
    119. Hafezi-Nejad N,
    120. Hamadeh RR,
    121. Hammami M,
    122. Hankey GJ,
    123. Harb HL,
    124. Havmoeller R,
    125. Hay SI,
    126. Pi IB,
    127. Hoek HW,
    128. Hosgood HD,
    129. Hoy DG,
    130. Husseini A,
    131. Idrisov BT,
    132. Innos K,
    133. Inoue M,
    134. Jacobsen KH,
    135. Jahangir E,
    136. Jee SH,
    137. Jensen PN,
    138. Jha V,
    139. Jiang G,
    140. Jonas JB,
    141. Juel K,
    142. Kabagambe EK,
    143. Kan H,
    144. Karam NE,
    145. Karch A,
    146. Karema CK,
    147. Kaul A,
    148. Kawakami N,
    149. Kazanjan K,
    150. Kazi DS,
    151. Kemp AH,
    152. Kengne AP,
    153. Kereselidze M,
    154. Khader YS,
    155. Khalifa SE,
    156. Khan EA,
    157. Khang YH,
    158. Knibbs L,
    159. Kokubo Y,
    160. Kosen S,
    161. Defo BK,
    162. Kulkarni C,
    163. Kulkarni VS,
    164. Kumar GA,
    165. Kumar K,
    166. Kumar RB,
    167. Kwan G,
    168. Lai T,
    169. Lalloo R,
    170. Lam H,
    171. Lansingh VC,
    172. Larsson A,
    173. Lee JT,
    174. Leigh J,
    175. Leinsalu M,
    176. Leung R,
    177. Li X,
    178. Li Y,
    179. Li Y,
    180. Liang J,
    181. Liang X,
    182. Lim SS,
    183. Lin HH,
    184. Lipshultz SE,
    185. Liu S,
    186. Liu Y,
    187. Lloyd BK,
    188. London SJ,
    189. Lotufo PA,
    190. Ma J,
    191. Ma S,
    192. Machado VM,
    193. Mainoo NK,
    194. Majdan M,
    195. Mapoma CC,
    196. Marcenes W,
    197. Marzan MB,
    198. Mason-Jones AJ,
    199. Mehndiratta MM,
    200. Mejia-Rodriguez F,
    201. Memish ZA,
    202. Mendoza W,
    203. Miller TR,
    204. Mills EJ,
    205. Mokdad AH,
    206. Mola GL,
    207. Monasta L,
    208. de la Cruz Monis J,
    209. Hernandez JC,
    210. Moore AR,
    211. Moradi-Lakeh M,
    212. Mori R,
    213. Mueller UO,
    214. Mukaigawara M,
    215. Naheed A,
    216. Naidoo KS,
    217. Nand D,
    218. Nangia V,
    219. Nash D,
    220. Nejjari C,
    221. Nelson RG,
    222. Neupane SP,
    223. Newton CR,
    224. Ng M,
    225. Nieuwenhuijsen MJ,
    226. Nisar MI,
    227. Nolte S,
    228. Norheim OF,
    229. Nyakarahuka L,
    230. Oh IH,
    231. Ohkubo T,
    232. Olusanya BO,
    233. Omer SB,
    234. Opio JN,
    235. Orisakwe OE,
    236. Pandian JD,
    237. Papachristou C,
    238. Park JH,
    239. Caicedo AJ,
    240. Patten SB,
    241. Paul VK,
    242. Pavlin BI,
    243. Pearce N,
    244. Pereira DM,
    245. Pesudovs K,
    246. Petzold M,
    247. Poenaru D,
    248. Polanczyk GV,
    249. Polinder S,
    250. Pope D,
    251. Pourmalek F,
    252. Qato D,
    253. Quistberg DA,
    254. Rafay A,
    255. Rahimi K,
    256. Rahimi-Movaghar V,
    257. ur Rahman S,
    258. Raju M,
    259. Rana SM,
    260. Refaat A,
    261. Ronfani L,
    262. Roy N,
    263. Pimienta TG,
    264. Sahraian MA,
    265. Salomon JA,
    266. Sampson U,
    267. Santos IS,
    268. Sawhney M,
    269. Sayinzoga F,
    270. Schneider IJ,
    271. Schumacher A,
    272. Schwebel DC,
    273. Seedat S,
    274. Sepanlou SG,
    275. Servan-Mori EE,
    276. Shakh-Nazarova M,
    277. Sheikhbahaei S,
    278. Shibuya K,
    279. Shin HH,
    280. Shiue I,
    281. Sigfusdottir ID,
    282. Silberberg DH,
    283. Silva AP,
    284. Singh JA,
    285. Skirbekk V,
    286. Sliwa K,
    287. Soshnikov SS,
    288. Sposato LA,
    289. Sreeramareddy CT,
    290. Stroumpoulis K,
    291. Sturua L,
    292. Sykes BL,
    293. Tabb KM,
    294. Talongwa RT,
    295. Tan F,
    296. Teixeira CM,
    297. Tenkorang EY,
    298. Terkawi AS,
    299. Thorne-Lyman AL,
    300. Tirschwell DL,
    301. Towbin JA,
    302. Tran BX,
    303. Tsilimbaris M,
    304. Uchendu US,
    305. Ukwaja KN,
    306. Undurraga EA,
    307. Uzun SB,
    308. Vallely AJ,
    309. van Gool CH,
    310. Vasankari TJ,
    311. Vavilala MS,
    312. Venketasubramanian N,
    313. Villalpando S,
    314. Violante FS,
    315. Vlassov VV,
    316. Vos T,
    317. Waller S,
    318. Wang H,
    319. Wang L,
    320. Wang X,
    321. Wang Y,
    322. Weichenthal S,
    323. Weiderpass E,
    324. Weintraub RG,
    325. Westerman R,
    326. Wilkinson JD,
    327. Woldeyohannes SM,
    328. Wong JQ,
    329. Wordofa MA,
    330. Xu G,
    331. Yang YC,
    332. Yano Y,
    333. Yentur GK,
    334. Yip P,
    335. Yonemoto N,
    336. Yoon SJ,
    337. Younis MZ,
    338. Yu C,
    339. Jin KY,
    340. El Sayed Zaki M,
    341. Zhao Y,
    342. Zheng Y,
    343. Zhou M,
    344. Zhu J,
    345. Zou XN,
    346. Lopez AD,
    347. Naghavi M,
    348. Murray CJ,
    349. Lozano R
    : Global, regional, and national levels and causes of maternal mortality during 1990-2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 384: 980–1004, 2014pmid:24797575
    OpenUrlCrossRefPubMed
  2. ↵
    1. Jafar TH
    : The growing burden of chronic kidney disease in Pakistan. N Engl J Med 354: 995–997, 2006pmid:16525135
    OpenUrlCrossRefPubMed
  3. ↵
    1. Jha V,
    2. Garcia-Garcia G,
    3. Iseki K,
    4. Li Z,
    5. Naicker S,
    6. Plattner B,
    7. Saran R,
    8. Wang AY,
    9. Yang CW
    : Chronic kidney disease: Global dimension and perspectives. Lancet 382: 260–272, 2013pmid:23727169
    OpenUrlCrossRefPubMed
  4. ↵
    1. Matsushita K,
    2. Selvin E,
    3. Bash LD,
    4. Franceschini N,
    5. Astor BC,
    6. Coresh J
    : Change in estimated GFR associates with coronary heart disease and mortality. J Am Soc Nephrol 20: 2617–2624, 2009pmid:19892932
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Coresh J,
    2. Turin TC,
    3. Matsushita K,
    4. Sang Y,
    5. Ballew SH,
    6. Appel LJ,
    7. Arima H,
    8. Chadban SJ,
    9. Cirillo M,
    10. Djurdjev O,
    11. Green JA,
    12. Heine GH,
    13. Inker LA,
    14. Irie F,
    15. Ishani A,
    16. Ix JH,
    17. Kovesdy CP,
    18. Marks A,
    19. Ohkubo T,
    20. Shalev V,
    21. Shankar A,
    22. Wen CP,
    23. de Jong PE,
    24. Iseki K,
    25. Stengel B,
    26. Gansevoort RT,
    27. Levey AS, CKD Prognosis Consortium
    : Decline in estimated glomerular filtration rate and subsequent risk of end-stage renal disease and mortality. JAMA 311: 2518–2531, 2014pmid:24892770
    OpenUrlCrossRefPubMed
  6. ↵
    1. Jafar TH,
    2. Hatcher J,
    3. Poulter N,
    4. Islam M,
    5. Hashmi S,
    6. Qadri Z,
    7. Bux R,
    8. Khan A,
    9. Jafary FH,
    10. Hameed A,
    11. Khan A,
    12. Badruddin SH,
    13. Chaturvedi N, Hypertension Research Group
    : Community-based interventions to promote blood pressure control in a developing country: a cluster randomized trial. Ann Intern Med 151: 593–601, 2009pmid:19884620
    OpenUrlCrossRefPubMed
  7. ↵
    1. Jafar TH,
    2. Jehan I,
    3. Liang F,
    4. Barbier S,
    5. Islam M,
    6. Bux R,
    7. Khan AH,
    8. Nadkarni N,
    9. Poulter N,
    10. Chaturvedi N,
    11. Ebrahim S
    : Control of blood pressure and risk attenuation: post trial follow-up of randomized groups. PLoS One 10: e0140550, 2015pmid:26540210
    OpenUrlCrossRefPubMed
  8. ↵
    1. Chobanian AV,
    2. Bakris GL,
    3. Black HR,
    4. Cushman WC,
    5. Green LA,
    6. Izzo JL Jr.,
    7. Jones DW,
    8. Materson BJ,
    9. Oparil S,
    10. Wright JT Jr.,
    11. Roccella EJ, National Heart, Lung, and Blood Institute Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure, National High Blood Pressure Education Program Coordinating Committee
    : The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: The JNC 7 report. JAMA 289: 2560–2572, 2003pmid:12748199
    OpenUrlCrossRefPubMed
  9. ↵
    1. Williams B,
    2. Poulter NR,
    3. Brown MJ,
    4. Davis M,
    5. McInnes GT,
    6. Potter JF,
    7. Sever PS,
    8. McG Thom S, British Hypertension Society
    : Guidelines for management of hypertension: Report of the fourth working party of the British Hypertension Society, 2004-BHS IV. J Hum Hypertens 18: 139–185, 2004pmid:14973512
    OpenUrlCrossRefPubMed
  10. ↵
    1. Jessani S,
    2. Levey AS,
    3. Bux R,
    4. Inker LA,
    5. Islam M,
    6. Chaturvedi N,
    7. Mariat C,
    8. Schmid CH,
    9. Jafar TH
    : Estimation of GFR in South Asians: A study from the general population in Pakistan. Am J Kidney Dis 63: 49–58, 2014pmid:24074822
    OpenUrlCrossRefPubMed
  11. ↵
    1. Zhou Q,
    2. Li S,
    3. Li X,
    4. Wang W,
    5. Wang Z
    : Detection of outliers and establishment of targets in external quality assessment programs. Clin Chim Acta 372: 94–97, 2006pmid:16714008
    OpenUrlCrossRefPubMed
  12. ↵
    1. Halbesma N,
    2. Jansen DF,
    3. Heymans MW,
    4. Stolk RP,
    5. de Jong PE,
    6. Gansevoort RT, PREVEND Study Group
    : Development and validation of a general population renal risk score. Clin J Am Soc Nephrol 6: 1731–1738, 2011pmid:21734089
    OpenUrlAbstract/FREE Full Text
    1. Tirosh A,
    2. Golan R,
    3. Harman-Boehm I,
    4. Henkin Y,
    5. Schwarzfuchs D,
    6. Rudich A,
    7. Kovsan J,
    8. Fiedler GM,
    9. Blüher M,
    10. Stumvoll M,
    11. Thiery J,
    12. Stampfer MJ,
    13. Shai I
    : Renal function following three distinct weight loss dietary strategies during 2 years of a randomized controlled trial. Diabetes Care 36: 2225–2232, 2013pmid:23690533
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Yang W,
    2. Xie D,
    3. Anderson AH,
    4. Joffe MM,
    5. Greene T,
    6. Teal V,
    7. Hsu CY,
    8. Fink JC,
    9. He J,
    10. Lash JP,
    11. Ojo A,
    12. Rahman M,
    13. Nessel L,
    14. Kusek JW,
    15. Feldman HI, CRIC Study Investigators
    : Association of kidney disease outcomes with risk factors for CKD: Findings from the Chronic Renal Insufficiency Cohort (CRIC) study. Am J Kidney Dis 63: 236–243, 2014pmid:24182662
    OpenUrlCrossRefPubMed
  14. ↵
    1. McAlister FA,
    2. Straus SE,
    3. Sackett DL,
    4. Altman DG
    : Analysis and reporting of factorial trials: A systematic review. JAMA 289: 2545–2553, 2003pmid:12759326
    OpenUrlCrossRefPubMed
  15. ↵
    1. Santos CA,
    2. Fiaccone RL,
    3. Oliveira NF,
    4. Cunha S,
    5. Barreto ML,
    6. do Carmo MB,
    7. Moncayo AL,
    8. Rodrigues LC,
    9. Cooper PJ,
    10. Amorim LD
    : Estimating adjusted prevalence ratio in clustered cross-sectional epidemiological data. BMC Med Res Methodol 8: 80, 2008pmid:19087281
    OpenUrlCrossRefPubMed
  16. ↵
    1. Miettinen O
    : Design options in epidemiologic research. An update. Scand J Work Environ Health 8[Suppl 1]: 7–14, 1982pmid:6980462
    OpenUrlPubMed
  17. ↵
    1. Navaneethan SD,
    2. Yehnert H,
    3. Moustarah F,
    4. Schreiber MJ,
    5. Schauer PR,
    6. Beddhu S
    : Weight loss interventions in chronic kidney disease: A systematic review and meta-analysis. Clin J Am Soc Nephrol 4: 1565–1574, 2009pmid:19808241
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Dunkler D,
    2. Dehghan M,
    3. Teo KK,
    4. Heinze G,
    5. Gao P,
    6. Kohl M,
    7. Clase CM,
    8. Mann JF,
    9. Yusuf S,
    10. Oberbauer R, ONTARGET Investigators
    : Diet and kidney disease in high-risk individuals with type 2 diabetes mellitus. JAMA Intern Med 173: 1682–1692, 2013pmid:23939297
    OpenUrlPubMed
  19. ↵
    1. Heiwe S,
    2. Jacobson SH
    : Exercise training for adults with chronic kidney disease. Cochrane Database Syst Rev (10): CD003236, 2011pmid:21975737
    OpenUrlPubMed
  20. ↵
    1. Jafar TH,
    2. Jin A,
    3. Koh WP,
    4. Yuan JM,
    5. Chow KY
    : Physical activity and risk of end-stage kidney disease in the Singapore Chinese Health Study. Nephrology (Carlton) 20: 61–67, 2015pmid:25346108
    OpenUrlPubMed
  21. ↵
    1. Look AHEAD Research Group
    : Effect of a long-term behavioural weight loss intervention on nephropathy in overweight or obese adults with type 2 diabetes: A secondary analysis of the Look AHEAD randomised clinical trial. Lancet Diabetes Endocrinol 2: 801–809, 2014pmid:25127483
    OpenUrlCrossRefPubMed
  22. ↵
    1. Jafar TH,
    2. Schmid CH,
    3. Landa M,
    4. Giatras I,
    5. Toto R,
    6. Remuzzi G,
    7. Maschio G,
    8. Brenner BM,
    9. Kamper A,
    10. Zucchelli P,
    11. Becker G,
    12. Himmelmann A,
    13. Bannister K,
    14. Landais P,
    15. Shahinfar S,
    16. de Jong PE,
    17. de Zeeuw D,
    18. Lau J,
    19. Levey AS
    : Angiotensin-converting enzyme inhibitors and progression of nondiabetic renal disease. A meta-analysis of patient-level data. Ann Intern Med 135: 73–87, 2001pmid:11453706
    OpenUrlCrossRefPubMed
  23. ↵
    1. Brenner BM,
    2. Cooper ME,
    3. de Zeeuw D,
    4. Keane WF,
    5. Mitch WE,
    6. Parving HH,
    7. Remuzzi G,
    8. Snapinn SM,
    9. Zhang Z,
    10. Shahinfar S, RENAAL Study Investigators
    : Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med 345: 861–869, 2001pmid:11565518
    OpenUrlCrossRefPubMed
  24. ↵
    1. Jafar TH,
    2. Haaland BA,
    3. Rahman A,
    4. Razzak JA,
    5. Bilger M,
    6. Naghavi M,
    7. Mokdad AH,
    8. Hyder AA
    : Non-communicable diseases and injuries in Pakistan: strategic priorities. Lancet 381: 2281–2290, 2013pmid:23684257
    OpenUrlCrossRefPubMed
  25. ↵
    1. Menne J,
    2. Ritz E,
    3. Ruilope LM,
    4. Chatzikyrkou C,
    5. Viberti G,
    6. Haller H
    : The Randomized Olmesartan and Diabetes Microalbuminuria Prevention (ROADMAP) observational follow-up study: Benefits of RAS blockade with olmesartan treatment are sustained after study discontinuation. J Am Heart Assoc 3: e000810, 2014pmid:24772521
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Cheng TY,
    2. Wen SF,
    3. Astor BC,
    4. Tao XG,
    5. Samet JM,
    6. Wen CP
    : Mortality risks for all causes and cardiovascular diseases and reduced GFR in a middle-aged working population in Taiwan. Am J Kidney Dis 52: 1051–1060, 2008pmid:18706747
    OpenUrlCrossRefPubMed
  27. ↵
    1. Lambers Heerspink HJ,
    2. Tighiouart H,
    3. Sang Y,
    4. Ballew S,
    5. Mondal H,
    6. Matsushita K,
    7. Coresh J,
    8. Levey AS,
    9. Inker LA
    : GFR decline and subsequent risk of established kidney outcomes: A meta-analysis of 37 randomized controlled trials. Am J Kidney Dis 64: 860–866, 2014pmid:25441439
    OpenUrlCrossRefPubMed
  28. ↵
    1. Greene T,
    2. Teng CC,
    3. Inker LA,
    4. Redd A,
    5. Ying J,
    6. Woodward M,
    7. Coresh J,
    8. Levey AS
    : Utility and validity of estimated GFR-based surrogate time-to-event end points in CKD: A simulation study. Am J Kidney Dis 64: 867–879, 2014pmid:25441440
    OpenUrlCrossRefPubMed
  29. ↵
    1. Yang G,
    2. Wang Y,
    3. Zeng Y,
    4. Gao GF,
    5. Liang X,
    6. Zhou M,
    7. Wan X,
    8. Yu S,
    9. Jiang Y,
    10. Naghavi M,
    11. Vos T,
    12. Wang H,
    13. Lopez AD,
    14. Murray CJ
    : Rapid health transition in China, 1990-2010: Findings from the Global Burden of Disease Study 2010. Lancet 381: 1987–2015, 2013pmid:23746901
    OpenUrlCrossRefPubMed
  30. ↵
    1. Schmidt MI,
    2. Duncan BB,
    3. Azevedo e Silva G,
    4. Menezes AM,
    5. Monteiro CA,
    6. Barreto SM,
    7. Chor D,
    8. Menezes PR
    : Chronic non-communicable diseases in Brazil: Burden and current challenges. Lancet 377: 1949–1961, 2011pmid:21561658
    OpenUrlCrossRefPubMed
  31. ↵
    1. Taal MW,
    2. Chertow GM,
    3. Rennke HG,
    4. Gurnani A,
    5. Jiang T,
    6. Shahsafaei A,
    7. Troy JL,
    8. Brenner BM,
    9. Mackenzie HS
    : Mechanisms underlying renoprotection during renin-angiotensin system blockade. Am J Physiol Renal Physiol 280: F343–F355, 2001pmid:11208610
    OpenUrlPubMed
  32. ↵
    1. Gurley SB,
    2. Coffman TM
    : The renin-angiotensin system and diabetic nephropathy. Semin Nephrol 27: 144–152, 2007pmid:17418683
    OpenUrlCrossRefPubMed
  33. ↵
    1. Jafar TH,
    2. Islam M,
    3. Bux R,
    4. Poulter N,
    5. Hatcher J,
    6. Chaturvedi N,
    7. Ebrahim S,
    8. Cosgrove P, Hypertension Research Group
    : Cost-effectiveness of community-based strategies for blood pressure control in a low-income developing country: Findings from a cluster-randomized, factorial-controlled trial. Circulation 124: 1615–1625, 2011pmid:21931077
    OpenUrlAbstract/FREE Full Text
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Clinical Journal of the American Society of Nephrology: 11 (6)
Clinical Journal of the American Society of Nephrology
Vol. 11, Issue 6
June 06, 2016
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Health Education and General Practitioner Training in Hypertension Management: Long-Term Effects on Kidney Function
Tazeen H. Jafar, John C. Allen, Imtiaz Jehan, Aamir Hameed, Seyed Ehsan Saffari, Shah Ebrahim, Neil Poulter, Nish Chaturvedi
CJASN Jun 2016, 11 (6) 1044-1053; DOI: 10.2215/CJN.05300515

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Health Education and General Practitioner Training in Hypertension Management: Long-Term Effects on Kidney Function
Tazeen H. Jafar, John C. Allen, Imtiaz Jehan, Aamir Hameed, Seyed Ehsan Saffari, Shah Ebrahim, Neil Poulter, Nish Chaturvedi
CJASN Jun 2016, 11 (6) 1044-1053; DOI: 10.2215/CJN.05300515
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Keywords

  • glomerular filtration rate
  • home health education
  • training general practitioners
  • creatinine
  • follow-up studies
  • health education
  • humans
  • hypertension
  • Pakistan
  • renal insufficiency

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