| Literature DB >> 34524440 |
Cedric Edwards1, Gregory L Hundemer1, William Petrcich2, Mark Canney1, Greg Knoll1, Kevin Burns1, Ann Bugeja1, Manish M Sood1,2.
Abstract
Importance: Thiazide diuretics are commonly prescribed for the treatment of hypertension, a disease highly prevalent among older individuals and in those with chronic kidney disease. How specific thiazide diuretics compare in regard to safety and clinical outcomes in these populations remains unknown. Objective: To compare safety and clinical outcomes associated with chlorthalidone or hydrochlorothiazide use among older adults with varying levels of kidney function. Design, Setting, and Participants: This population-based retrospective cohort study was conducted in Ontario, Canada, from 2007 to 2015. Participants included adults aged 66 years or older who initiated chlorthalidone or hydrochlorothiazide during this period. Data were analyzed from December 2019 through September 2020. Exposures: New chlorthalidone users were matched 1:4 with new hydrochlorothiazide users by a high-dimensional propensity score. Time-to-event models accounting for competing risks examined the associations between chlorthalidone vs hydrochlorothiazide use and the outcomes of interest overall and within estimated glomerular filtration rate (eGFR) categories (≥60, 45-59, and <45 mL/min/1.73 m2). Main Outcomes and Measures: The outcomes of interest were adverse kidney events (ie, eGFR decline ≥30%, dialysis, or kidney transplantation), cardiovascular events (composite of myocardial infarction, coronary revascularization, heart failure, or atrial fibrillation), all-cause mortality, and electrolyte anomalies (ie, sodium or potassium levels outside reference ranges).Entities:
Mesh:
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Year: 2021 PMID: 34524440 PMCID: PMC8444030 DOI: 10.1001/jamanetworkopen.2021.23365
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Flowchart for Cohort Assembly
eGFR indicates estimated glomerular filtration rate; IKN, ICES Key Number.
Baseline Study Characteristics of Propensity Score–Matched Patients Receiving Chlorthalidone or Hydrochlorothiazide
| Characteristic | No. (%) | ||
|---|---|---|---|
| Chlorthalidone (n = 2936) | Hydrochlorothiazide (n = 9786) | Standardized differences | |
| Age, mean (SD), y | 74 (7) | 74 (7) | 0.013 |
| Sex | |||
| Women | 1599 (54) | 5464 (56) | 0.000 |
| Men | 1337 (46) | 4322 (44) | 0.000 |
| Income quintile | |||
| 1 (lowest) | 590 (20) | 1960 (20) | 0.014 |
| 2 | 635 (22) | 2135 (22) | 0.016 |
| 3 | 586 (20) | 2008 (21) | 0.006 |
| 4 | 566 (19) | 1893 (19) | 0.005 |
| 5 (highest) | 559 (19) | 1790 (18) | 0.027 |
| Rural residence | 329 (11) | 1032 (11) | 0.032 |
| Year of index date | |||
| 2007 | 0 | ≤5 (<1) | 0.023 |
| 2008 | 32 (1) | 115-120 (1) | 0.018 |
| 2009 | 162 (6) | 592 (6) | 0.023 |
| 2010 | 328 (11) | 1347 (14) | 0.077 |
| 2011 | 442 (15) | 1581 (16) | 0.030 |
| 2012 | 679 (23) | 1814 (19) | 0.107 |
| 2013 | 644 (22) | 1905 (19) | 0.064 |
| 2014 | 649 (22) | 2427 (25) | 0.060 |
| Total antihypertensive medications, No. | |||
| 1 | 289 (10) | 736 (7) | 0.117 |
| 2 | 603 (21) | 2186 (22) | 0.014 |
| 3 | 789 (27) | 2793 (29) | 0.010 |
| 4 | 742 (25) | 2370 (24) | 0.001 |
| 5 | 378 (13) | 1251 (13) | 0.059 |
| 6 | 117 (4) | 407 (4) | 0.061 |
| 7 | 18 (1) | 43 (1) | 0.006 |
| eGFR, mL/min/1.73 m2 | |||
| Mean (SD) | 68.8 (18.9) | 69.1 (18.4) | 0.020 |
| Category | |||
| ≥60 | 2022 (69) | 7295 (74) | 0.017 |
| 45-59 | 515 (18) | 1628 (17) | 0.007 |
| <45 | 399 (14) | 863 (9) | 0.032 |
| Comorbidities | |||
| Coronary artery disease | 792 (27) | 2388 (24) | 0.005 |
| Myocardial infarction | 114 (4) | 256 (3) | 0.031 |
| CABG | 58 (2) | 153 (2) | 0.009 |
| Heart failure | 290 (10) | 606 (6) | 0.000 |
| Atrial fibrillation | 168 (6) | 475 (5) | 0.009 |
| Arrhythmia | 255 (9) | 695 (7) | 0.007 |
| Ischemic stroke | 92 (3) | 182 (2) | 0.072 |
| Peripheral vascular disease | 56 (2) | 121 (1) | 0.034 |
| Diabetes | 1322 (45) | 4122 (42) | 0.000 |
| COPD | 99 (3) | 299 (3) | 0.021 |
| Chronic liver disease | 136 (5) | 390 (4) | 0.028 |
| Major cancer | 385 (13) | 1281 (13) | 0.003 |
| Seizure | 25 (1) | 54 (1) | 0.020 |
| Osteoporosis | 18 (1) | 59 (1) | 0.005 |
| Medications | |||
| ACE inhibitors | 1239 (42) | 3066 (31) | 0.191 |
| ARBs | 847 (29) | 3845 (39) | 0.228 |
| Calcium channel blockers | 1288 (44) | 3526 (36) | 0.106 |
| β-Blockers | 1104 (38) | 3060 (31) | 0.071 |
| Loop diuretic | 233 (8) | 406 (4) | 0.000 |
| α-Blocker | 117 (4) | 252 (3) | 0.042 |
| Nitrates | 156 (5) | 475 (5) | 0.024 |
| Clonidine | 18 (1) | 24 (1) | 0.051 |
| Antiarrhythmics | 39 (1) | 115 (1) | 0.003 |
| Clopidogrel | 177 (6) | 446 (5) | 0.037 |
| Statins | 1724 (59) | 5575 (57) | 0.006 |
| Glucose-lowering medications | 935 (32) | 2822 (29) | 0.000 |
| Antipsychotics | 78 (3) | 236 (2) | 0.002 |
| Health services | |||
| Family physician | 2869 (98) | 9591 (98) | 0.026 |
| Nephrologist | 588 (20) | 835 (9) | 0.251 |
| Cardiologist | 1582 (54) | 4595 (47) | 0.088 |
Abbreviations: ACE, angiotensin converting enzyme; ARB, angiotensin II receptor blocker; CABG, coronary artery bypass graft; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate.
Weighted standardized differences were used to account for the variable number of participants receiving hydrochlorothiazide matched to each participant receiving chlorthalidone.[29] The crude statistics given in the post–propensity score-matching cohort for each group do not correspond to the weighted standardized differences. Standardized differences are less sensitive to sample size than traditional hypothesis tests. They provide a measure of the difference between groups divided by the pooled SD; a value greater than 10% is interpreted as a meaningful difference between groups.[28]
Rural was defined as residing in a location with population of fewer than 10 000 people.
Kidney function was defined at baseline as the eGFR value closest to the index date within 1 year up to and including the index date.
Comorbidities were ascertained in the 5 years prior to cohort entry.
Medication use was ascertained in the 120 days prior to cohort entry.
Health service utilization was ascertained in the 1 year prior to cohort entry.
Figure 2. Adverse Kidney Events
eGFR indicates estimated glomerular filtration rate.
Figure 3. Cardiovascular (CV) Events and All-Cause Mortality
eGFR indicates estimated glomerular filtration rate.
Figure 4. Electrolyte Disturbances
eGFR indicates estimated glomerular filtration rate.