| Literature DB >> 32321724 |
Matti Marklund1,2, Gitanjali Singh2, Raquel Greer3, Frederick Cudhea2, Kunihiro Matsushita3, Renata Micha2, Tammy Brady4, Di Zhao3, Liping Huang5, Maoyi Tian5,6, Laura Cobb7, Bruce Neal5,8, Lawrence J Appel3,4, Dariush Mozaffarian2, Jason H Y Wu5.
Abstract
OBJECTIVES: To estimate the effects of nationwide replacement of discretionary salt (used at table or during cooking) with potassium enriched salt substitute on morbidity and death from cardiovascular disease in China.Entities:
Mesh:
Substances:
Year: 2020 PMID: 32321724 PMCID: PMC7190075 DOI: 10.1136/bmj.m824
Source DB: PubMed Journal: BMJ ISSN: 0959-8138
Fig 1Conceptual models used to estimate benefits, harms, and net effects of replacing dietary salt (sodium chloride) with potassium enriched salt substitutes. Distribution of potassium enriched salt substitutes to replace dietary salt was expected to reduce blood pressure in the adult population, with greater effects at older ages. In 24 age-sex groups, blood pressure distribution before the intervention and the lower blood pressure distribution after the intervention (that is, after replacement) were used to calculate a potential impact fraction (PIF), with risk estimates for blood pressure on outcomes of cardiovascular disease, for each of 11 subtypes of cardiovascular disease. The age, sex, and subtype specific PIF was multiplied by the pre-intervention estimates of the same groups for deaths from cardiovascular disease, non-fatal events, or disability adjusted life years to estimate the number of averted deaths, non-fatal events, or disability adjusted life years. In each age-sex group, the total number of averted deaths from cardiovascular disease, prevalence of chronic kidney disease, and the death risk from cardiovascular disease in patients with chronic kidney disease (compared with others) were used to estimate the number of averted deaths from cardiovascular disease attributed to individuals with chronic kidney disease. For each chronic kidney disease stage (G3a, G3b, G4, and G5), estimates of the expected increase in potassium intake from replacement of dietary salt with potassium enriched salt substitutes, the dose-response relation of dietary and serum potassium, and pre-intervention serum potassium distribution were used to estimate the post-intervention serum potassium distribution. The serum potassium distributions (before and after the intervention) and known risk estimates of serum potassium with deaths from cardiovascular disease were used to calculate a PIF for each chronic kidney disease stage. The PIF and stage specific estimate of pre-intervention deaths from cardiovascular disease were used to calculate the additional deaths from cardiovascular disease. The additional deaths were subtracted from averted deaths to estimate net benefits (averted deaths) in individuals with chronic kidney disease exclusively and in the total adult population, including those with chronic kidney disease. Table 1 presents the model inputs and the appendix provides detailed information and rationales on model calculations and assumptions
Input data for comparative risk assessment on effect of nationwide salt substitute intervention in the adult Chinese population on cardiovascular disease burden
| Model and data | Group | Year | Value | Distribution | Note | Source |
|---|---|---|---|---|---|---|
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| Pre-intervention SBP | Sex, age | 2015 | Age and sex specific estimates (eTable 1) | γ | Standard deviation of SBP in each group (Chinese adults aged ≥25) was assumed equal to 15% of the mean for that specific group, based on age and sex specific SBP distributions estimated in >500 000 Chinese adults. | GBD, 2017* |
| Intervention effect on SBP | Age | N/A | −2.82 (−4.75 to −0.89) mm Hg at age 65 years, with 0.13 (−0.02 to 0.27) mm Hg lesser or greater reduction for each year of age younger or older than 65, respectively | Normal | Estimates and their uncertainties of treatment effect and age-treatment interaction were estimated using interim measurements (1-3 years after baseline) in >4500 participants of the SSaSS. For each iteration (n=1000), random draws from normal distributions of main and interaction effects were used to calculate age specific effects on SBP | SSaSS (unpublished)† |
| SBP effect on CVD risk | Age | N/A | Disease and age specific estimates (eTable 4) | Log normal | For each iteration (n=1000), random draws of age specific log relative risks of CVD subtypes (n=8) were made | GBD, 2017* Singh |
| SBP effect on CKD risk | N/A | N/A | RR 1.28 (95% CI 1.18 to 1.39) per 10 mm Hg | Log normal | For each iteration (n=1000), random draws of log RR were made | GBD, 2014‡ |
| Current CVD and CKD burden | Sex, age | 2015 | Disease, sex, and age specific estimates | Normal | Estimates and corresponding 95% uncertainty intervals for CVD subtypes (n=11) and CKD were retrieved from the GBD Results Tool | GBD Results Tool§ |
| Prevalence of CKD (%) | Sex, age | 2007-10 | Age and sex specific estimates (eTable 1) | Normal | Age and sex specific prevalence of CKD (eGFR <60 mL/min/1.73m2) was estimated by interpolation and extrapolation based on piecewise linear regression of age specific CKD prevalence in four age groups (18-39, 40-59, 60-69, ≥70 | Zhang |
| Age specific HR of CVD mortality in CKD compared with non-CKD | Age | N/A | Age specific HR estimates (eTable 1) | Log normal | Age specific (18-54, 55-64, 65-74, ≥75) HRs comparing eGFR 50 | Hallan |
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| Prevalence of CKD by stage (%) | CKD stage¶ | 2007-10 | Stage G3a: 1.40 (95% CI 1.20 to 1.50); stage G3b: 0.20 (0.10 to 0.30); stage G4: 0.10 (0.06 to 0.20); stage G5: 0.03 (0.01 to 0.05) | Normal | Prevalence of CKD per eGFR level in the adult Chinese population. Random draws were made for each iteration (n=1000) | Zhang |
| Crude HR of CVD mortality compared with non-CKD | CKD stage¶ | N/A | Stage G3a: 4.03 (95% CI 2.76 to 5.88); stage G3b: 6.95 (4.35 to 11.10); stage G4: 9.93 (6.09 to 16.17); stage G5: 17.51 (9.72 to 31.55) | Log normal | Unadjusted HRs for each CKD stage using midpoint eGFR (ie, stage G3a 52.5, stage G3b 37.5, stage G4 22.5, stage G5 7.5 mL/min/1.73m2) | Matsushita |
| Mean (SD) current serum potassium distribution (mmol/L) | CKD stage | N/A | Stage G3a: 4.34 (0.45); stage G3b: 4.42 (0.51); stage G4: 4.52 (0.59); stage G5: 4.63 (0.67) | Normal | Extrapolated and interpolated from linear regressions of means and standard deviations of stage G3 and ≥G4 reported by the CKD-PC. For each iteration (n=1000), random draws of stage specific serum potassium levels (assuming normal distribution) were made | Kovesdy |
| Increase in potassium intake by salt substitute intervention (g/day) | N/A | N/A | 0.86 (95% CI 1.14 to 0.68) | Normal | Calculated by multiplying urinary excretion in SSaSS (0.66 g/24 hours; 95% CI 0.52 to 0.80) by a factor of 1.3 based on mean differences between intake and excretion | Huang 2018** |
| Dietary potassium effect on serum potassium level (mmol/L per g/day) | CKD stage | N/A | Stage G3a: 0.23 (95% CI 0.08 to 0.38); stage G3b: 0.47 (0.33 to 0.61); stage G4: 0.93 (0.66 to 1.21); stage G5: 1.87 (1.33 to 2.41) | Normal | Estimated in clinical trial; β and SE assumed to be 2× effect estimated in stage G3a; β and SE assumed to be 4× effect estimated in stage G3a; β and SE assumed to 8× effect estimated in stage G3a | Turban (unpublished)†† |
| Serum potassium effect on CVD mortality | N/A | N/A | HR (95% CI) compared with serum potassium 4.2 mmol/L available for each 0.05 increment of serum potassium in the interval 4.2 to 6.5 mmol/L | Log normal | CKD-PC data suggest no evidence of different HR per eGFR level | Kovesdy |
β=regression coefficient of serum to dietary potassium; CKD=chronic kidney disease; CKD-PC=Chronic Kidney Disease Prognosis Consortium; CVD=cardiovascular disease; eGFR=estimated glomerular filtration rate; GBD=Global Burden of Disease Study; HR=hazard ratio; N/A=not applicable; SBP=systolic blood pressure; SD=standard deviation; SE=standard error; SSaSS=Salt Substitute and Stroke Study; RR=relative risk.
2015 blood pressure levels by age and sex were extracted from the Global Burden of Disease Study 2015. Hypertension and systolic blood pressure of at least 110 to 115 mm Hg 1990-2015. Seattle: Institute for Health Metrics and Evaluation (IHME), 2017.3
Effects on systolic blood pressure and potassium intake were assessed in the ongoing Salt Substitute and Stroke Study, a cluster randomised trial conducted in 600 villages across five Chinese provinces.
Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol 2014;2:634-47 (reference 10 from web appendix).
Data (estimates and uncertainties) on deaths from cardiovascular disease by age and sex were retrieved from the Institute for the GBD Results Tool (Health Metrics and Evaluation (IHME) GBD Results Tool). Seattle, WA: IHME, University of Washington, 2019. http://ghdx.healthdata.org/gbd-results-tool.
Chronic kidney disease stages: G3a (estimated glomerular filtration rate 45-59 mL/min/1.73 m2); G3b (30-44); G4 (15-29); and G5 (<15-29).
Increase in intake of potassium was assessed using 24 hour urinary excretion of potassium from the ongoing Salt Substitute and Stroke Study, a cluster randomised trial conducted in 600 villages across China.
The effects of dietary potassium on blood pressure in adults with stage 3 chronic kidney disease: Results from the CKD-K trial (unpublished data).
Estimated intervention effects on cardiovascular disease and chronic kidney disease in total adult population in China by nationwide intervention replacing discretionary salts (salt used at table and in cooking) with potassium enriched salt substitutes
| Metric and disease | Current No (000s) of events (95% UI) | Averted No of events (95% UI) | |
|---|---|---|---|
| In 000s | % of current | ||
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| Total cardiovascular disease* | 4201 (4157 to 4246) | 461 (196 to 704) | 10.9 (4.7 to 16.8) |
| Ischaemic heart disease | 1689 (1666 to 1715) | 175 (71 to 272) | 10.3 (4.2 to 16.2) |
| Stroke: | 2034 (2012 to 2056) | 208 (89 to 328) | 10.2 (4.4 to 16.1) |
| Ischaemic | 815 (801 to 829) | 77 (32 to 123) | 9.4 (4.0 to 15.0) |
| Haemorrhagic | 1219 (1201 to 1236) | 130 (56 to 209) | 10.7 (4.6 to 17.1) |
| Other cardiovascular disease† | 477 (448 to 506) | 75 (32 to 114) | 15.8 (6.9 to 23.6) |
| Chronic kidney disease | 171 (167 to 176) | 15 (6 to 23) | 8.5 (3.6 to 13.3) |
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| Total cardiovascular disease‡ | 9455 (9204 to 9727) | 743 (306 to 1273) | 7.9 (3.2 to 13.4) |
| Ischaemic heart disease | 1546 (1445 to 1657) | 147 (62 to 242) | 9.5 (4.0 to 15.5) |
| Stroke¶: | 4022 (3887 to 4161) | 365 (151 to 623) | 9.1 (3.7 to 15.4) |
| Ischaemic¶ | 2636 (2503 to 2771) | 232 (96 to 385) | 8.8 (3.6 to 14.6) |
| Haemorrhagic¶ | 1386 (1340 to 1429) | 131 (52 to 239) | 9.5 (3.7 to 17.2) |
| Other cardiovascular disease§ | 3891 (3697 to 4096) | 230 (82 to 418) | 5.9 (2.2 to 10.7) |
| Chronic kidney disease | 1741 (1596 to 1885) | 120 (48 to 199) | 6.9 (2.8 to 11.4) |
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| Total cardiovascular disease** | 82 006 (81 292 to 82 722) | 7947 (3310 to 12 891) | 9.7 (4.0 to 15.7) |
| Ischaemic heart disease | 29 804 (29 452 to 30 191) | 2701 (1115 to 4390) | 9.1 (3.7 to 14.7) |
| Stroke: | 42 554 (42 040 to 43 025) | 4013 (1692 to 6620) | 9.5 (4.0 to 15.5) |
| Ischaemic | 17 401 (17 028 to 17 796) | 1602 (678 to 2523) | 9.2 (3.9 to 14.5) |
| Haemorrhagic | 25 139 (24 806 to 25 468) | 2397 (954 to 4183) | 9.6 (3.8 to 16.6) |
| Other cardiovascular disease†† | 9664 (9309 to 9987) | 1249 (563 to 1933) | 12.9 (5.7 to 19.9) |
| Chronic kidney disease | 4684 (4572 to 4793) | 303 (126 to 506) | 6.5 (2.7 to 10.8) |
UI=uncertainty interval.
Includes ischaemic heart disease, stroke (ischaemic and haemorrhagic), and other cardiovascular diseases (aortic aneurysm, hypertensive heart disease, rheumatic heart disease, endocarditis, atrial fibrillation, myocarditis, cardiomyopathy, peripheral artery disease, and other cardiovascular and circulatory diseases).
Includes aortic aneurysm, hypertensive heart disease, rheumatic heart disease, endocarditis, atrial fibrillation, myocarditis, cardiomyopathy, peripheral artery disease, and other cardiovascular and circulatory diseases.
Includes ischaemic heart disease, stroke (ischaemic and haemorrhagic), and other cardiovascular diseases (atrial fibrillation and peripheral artery disease).
Includes atrial fibrillation and peripheral artery disease.
Includes only first events.
Includes ischaemic heart disease, stroke (ischaemic and haemorrhagic), and other cardiovascular diseases (aortic aneurysm, hypertensive heart disease, atrial fibrillation, peripheral artery disease, and other cardiovascular and circulatory diseases), but not rheumatic heart disease, endocarditis, myocarditis, or cardiomyopathy.
Includes aortic aneurysm, hypertensive heart disease, atrial fibrillation, peripheral artery disease, and other cardiovascular and circulatory diseases, but not rheumatic heart disease, endocarditis, myocarditis, or cardiomyopathy.
Intervention effects on deaths from cardiovascular disease* in patients with chronic kidney disease estimated by the primary model and one way deterministic sensitivity analyses
| Analyses | Averted deaths (000s) from reduction in SBP (95% UI) | Additional deaths (000s) from increased serum potassium (95% UI) | Net averted deaths from CVD (95% UI) | |
|---|---|---|---|---|
| In 000s | % of current | |||
|
| 32.2 (12.3 to 54.5) | 10.6 (6.4 to 16.6) | 21.4 (1.9 to 42.9) | 7.5 (0.6 to 13.8) |
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| Coverage: | ||||
| Lesser (50% of primary model) | 16.7 (6.2 to 28.6) | 5.6 (3.3 to 8.7) | 11.1 (1.0 to 22.6) | 3.9 (0.3 to 7.4) |
| Greater (150% of primary model) | 46.6 (18.2 to 77.5) | 14.9 (9.2 to 23.5) | 31.5 (3.2 to 61.0) | 11.1 (1.2 to 19.7) |
| Patients aware of having chronic kidney disease avoid salt substitutes | 31.9 (12.2 to 54.1) | 8.5 (5.1 to 13.1) | 23.1 (3.9 to 44.6) | 8.2 (1.5 to 14.5) |
| Alternative blood pressure effects of salt substitutes: | ||||
| About 75% greater | 40.8 (22.2 to 66.9) | 10.6 (6.4 to 16.6) | 30.3 (11.2 to 54.2) | 10.8 (3.8 to 17.6) |
| About 100% greater | 45.6 (29.3 to 68.2) | 10.6 (6.4 to 16.6) | 35.0 (20.8 to 55.8) | 12.3 (8.3 to 16.8) |
| About 180% greater | 61.8 (42.1 to 91.2) | 10.6 (6.4 to 16.6) | 51.1 (34.9 to 76.3) | 17.8 (14.3 to 21.8) |
| Effect only in people with hypertension | 25.3 (10.7 to 44.4) | 10.6 (6.4 to 16.6) | 14.7 (0.1 to 31.8) | 5.2 (0.0 to 10.5) |
| Dose-response relation of serum to dietary potassium intake: | ||||
| Stronger‡ | 32.2 (12.3 to 54.5) | 11.9 (6.9 to 19.1) | 20.1 (1.1 to 41.4) | 7.0 (0.4 to 13.6) |
| Weaker§ | 32.2 (12.3 to 54.5) | 7.5 (4.7 to 11.7) | 24.3 (5.2 to 45.9) | 8.6 (2.0 to 14.9) |
| Equal over chronic kidney disease stages G3a-G5 | 32.2 (12.3 to 54.5) | 5.8 (3.6 to 9.0) | 26.1 (7.2 to 47.6) | 9.2 (2.7 to 15.4) |
SBP=systolic blood pressure; UI=uncertainty interval; CVD=cardiovascular disease; CKD=chronic kidney disease.*Include deaths from ischaemic heart disease, stroke (ischaemic and haemorrhagic), and other cardiovascular diseases (aortic aneurysm, hypertensive heart disease, atrial fibrillation, cardiomyopathy, peripheral artery disease, and other cardiovascular and circulatory diseases).
Hernandez et al conducted meta-analyses to evaluate the effect of salt substitutes on blood pressure and 24 hour excretion of potassium.24 Estimates for excretion of potassium in 24 hours (11.5 mmol/day, 95% confidence interval 8.4 to 14.6) were multiplied by a factor of 1.3 to estimate the corresponding increase in potassium intake and changed the assumptions of the effects of blood pressure and potassium intake in the sensitivity analysis.
Increasing exponentially with decreasing kidney function.
Increasing linearly with decreasing kidney function.
Intervention effects on deaths from cardiovascular disease* in total adult population in China estimated by the primary model and one way deterministic sensitivity analyses*
| Analyses | Averted deaths from SBP reduction in total population (95% UI) | Additional deaths from increased serum potassium in patients with CKD (95% UI) | Net averted deaths from CVD (95% UI) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| In 000s | Per 100 000 adults exposed† | In 000s | Per 100 000 adults exposed† | In 000s | Per 100 000 adults exposed† | % of current | |||
|
| 460.7 (196.3 to 704.4) | 45.9 (19.8 to 71.9) | 10.6 (6.4 to 16.6) | 1.1 (0.6 to 1.7) | 449.5 (183.7 to 697.1) | 44.8 (18.8 to 70.8) | 10.7 (4.4 to 16.5) | ||
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| Coverage: | |||||||||
| Lesser (50% of primary model) | 239.1 (99.6 to 372.1) | 23.8 (10.1 to 37.9) | 5.6 (3.3 to 8.7) | 0.6 (0.3 to 0.9) | 233.3 (93.2 to 368.0) | 23.2 (9.5 to 37.4) | 5.5 (2.2 to 8.7) | ||
| Greater (150% of primary model) | 666.3 (288.2 to 1,003.5) | 66.3 (29.3 to 102.4) | 14.9 (9.2 to 23.5) | 1.5 (0.9 to 2.4) | 651.5 (270.8 to 987.6) | 65.0 (27.7 to 100.9) | 15.5 (6.5 to 23.5) | ||
| Patients aware of having chronic kidney disease avoid salt substitutes | 457.1 (195.0 to 699.5) | 45.5 (19.7 to 71.4) | 8.5 (5.1 to 13.1) | 0.9 (0.5 to 1.4) | 448.5 (185.1 to 693.5) | 44.6 (18.8 to 70.6) | 10.6 (4.4 to 16.5) | ||
| Alternative blood pressure effects of salt substitutes: | |||||||||
| About 75% greater | 646.0 (347.7 to 928.2) | 65.0 (36.0 to 95.2) | 10.6 (6.4 to 16.6) | 1.1 (0.6 to 1.7) | 635.0 (335.0 to 920.2) | 63.9 (35.0 to 94.2) | 15.1 (8.0 to 21.8) | ||
| About 100% greater | 716.2 (544.9 to 892.6) | 72.1 (54.0 to 92.4) | 10.6 (6.4 to 16.6) | 1.1 (0.6 to 1.7) | 706.2 (536.5 to 883.3) | 71.0 (53.1 to 91.3) | 16.8 (12.7 to 21.1) | ||
| About 180% greater | 961.4 (777.3 to 1,138.4) | 97.1 (76.9 to 118.2) | 10.6 (6.4 to 16.6) | 1.1 (0.6 to 1.7) | 950.9 (769.2 to 1,123.9) | 95.9 (75.8 to 117.2) | 22.6 (18.4 to 26.8) | ||
| Effect only in patients with hypertension | 349.7 (156.2 to 534.0) | 34.8 (15.5 to 55.0) | 10.6 (6.4 to 16.6) | 1.1 (0.6 to 1.7) | 338.3 (141.3 to 524.8) | 33.8 (14.3 to 54.0) | 8.1 (3.4 to 12.5) | ||
| Dose-response relation of serum to dietary potassium intake: | |||||||||
| Stronger§ | 460.7 (196.3 to 704.4) | 45.9 (19.8 to 71.9) | 11.9 (6.9 to 19.1) | 1.2 (0.7 to 1.9) | 448.2 (185.3 to 695.9) | 44.6 (18.6 to 70.6) | 10.7 (4.4 to 16.5) | ||
| Weaker¶ | 460.7 (196.3 to 704.4) | 45.9 (19.8 to 71.9) | 7.5 (4.7 to 11.7) | 0.8 (0.5 to 1.2) | 452.8 (187.3 to 699.3) | 45.0 (19.1 to 71.2) | 10.8 (4.5 to 16.6) | ||
| Equal over chronic kidney disease stages G3a-G5 | 460.7 (196.3 to 704.4) | 45.9 (19.8 to 71.9) | 5.8 (3.6 to 9.0) | 0.6 (0.4 to 0.9) | 454.9 (190.6 to 699.5) | 45.2 (19.2 to 71.3) | 10.8 (4.5 to 16.7) | ||
SBP=systolic blood pressure; UI=uncertainty interval; CVD=cardiovascular disease; CKD=chronic kidney disease.*Include deaths from ischaemic heart disease, stroke (ischaemic and haemorrhagic), and other cardiovascular diseases (aortic aneurysm, hypertensive heart disease, atrial fibrillation, cardiomyopathy, peripheral artery disease, and other cardiovascular and circulatory diseases).
Adults aged ≥25 years were considered exposed.
Hernandez et al conducted meta-analyses to evaluate the effect of salt substitutes on blood pressure and 24 hour potassium excretion.24 Estimates for excretion of potassium in 24 hours (11.5 mmol/day, 95% confidence interval 8.4 to 14.6) were multiplied by a factor of 1.3 to estimate the corresponding increase in potassium intake and changed the assumptions of the effects of blood pressure and potassium intake in the sensitivity analysis.
Increasing exponentially with decreasing kidney function.
Increasing linearly with decreasing kidney function.
Fig 2Ratio of averted-to-additional deaths from cardiovascular disease in individuals with chronic kidney disease and in the total adult population in China, including individuals with chronic kidney disease, estimated by the primary model and by one way deterministic sensitivity analyses. Diamonds represent point estimates and error bars 95% uncertainty intervals. Values above one indicate net benefit (that is, greater number of deaths averted from reduction in systolic blood pressure than additional deaths from increased serum potassium). Hernandez et al conducted meta-analyses to evaluate the effect of salt substitutes on blood pressure and excretion of potassium in 24 hours.24 The estimates for excretion of potassium (11.5 mmol/day, 95% confidence interval 8.4 to 14.6) were multiplied by a factor of 1.3 to estimate the corresponding increase in potassium intake and changed the assumptions of the effects of blood pressure and potassium intake in the sensitivity analysis