Cited by 24Blood Pressure and Hypertension StudiesChronic Kidney Disease and DiabetesRenal and Vascular Pathologies

Short-term systolic blood pressure variability and kidney disease progression in patients with chronic kidney disease: results from C-STRIDE

Open access
Wang, Qin, Wang, Yu, Wang, Jinwei, Zhang, Luxia, Zhao, Ming‐Hui, Wang, Xiaoqin, Yuan, Jun, Zhou, Qiaoling +72 more·2020·Journal of the American Heart Association

Abstract

Background: It is unclear whether short‐term blood pressure variability is associated with renal outcomes in patients with chronic kidney disease. Methods and Results: This study analyzed data from participants in the C‐ STRIDE (Chinese Cohort Study of Chronic Kidney Disease) who had chronic kidney disease stages 1 to 4. Short‐term blood pressure variability was measured by calculating the weighted SD (w‐ SD ) of systolic blood pressure ( SBP ). Renal outcomes were defined as dialysis initiation and/or transplantation. Risk factors associated with w‐ SD of SBP were evaluated by linear regression. Associations of short‐term SBP variability with renal outcomes were evaluated by Cox regression. In total, 1421 patients with chronic kidney disease were included in this study (mean age, 49.4±13.6 years; 56.2% men; estimated glomerular filtration rate, 50.5±29.3 mL/min per 1.73 m 2 ; proteinuria, 0.9 [0.3–2.0] g/d). Mean w‐ SD of SBP was 12.6±4.4 mm Hg. w‐ SD of SBP was independently associated with older age, 24‐hour SBP , blood pressure circadian pattern, and angiotensin II receptor blocker treatment. During a median follow‐up of 4.9 years, 237 patients developed renal outcomes (37.01 per 1000 patient‐years). The incidence rate increased across the quartiles of w‐ SD (log‐rank P =0.005). w‐ SD of SBP was associated with an increased risk of renal outcomes, both as a continuous variable (hazard ratio [HR], 1.47; 95% CI, 1.09–1.99) and as a categorical variable (quartile 4 versus quartile 1: HR, 1.60; 95% CI, 1.08–2.36), independent of 24‐hour SBP , daytime SBP , and nighttime SBP . Conclusions: Short‐term SBP was independently associated with the risk of dialysis initiation and/or transplantation in patients with chronic kidney disease .

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/jaha.120.015359

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Blood pressure variability was associated with 47% greater risk of kidney failure (HR 1.47; 95% CI 1.09-1.99) for each 10-mmHg increase after adjustment for demographic and traditional risk factors.

    “Blood pressure variability was associated with 47% greater risk of kidney failure (hazard ratio [HR] 1.47; 95% CI 1.09-1.99)for each 10-mmHg increase after adjustment for demographic and traditional risk factors (84,85).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wang, Q., Wang, Y., Wang, J., Zhang, L., Zhao, M., Wang, X., Yuan, J., Zhou, Q., Yuan, Q., Chen, M., Zhou, X., Fu, S., Li, S., Zha, Y., Huang, R., Liu, Z., Zhang, J., Wang, L., Pu, L., Liu, J., Li, S., Xiong, Z., Liang, W., Zhao, J., Mu, J., Lian, X., Liao, Y., Gan, H., Liao, L., Wang, R., Lv, Z., Liao, Y., Pan, L., Yang, X., Lin, Z., Tong, Z., Zhu, Y., He, Q., Wu, F., Li, R., Rong, K., Wang, C., Zhang, Y., Wang, Y., Tang, W., Wu, H., Zhao, B., Li, R., Wang, L., Li, D., Du, F., Wu, Y., Zhang, W., Lin, S., Xu, P., Lin, H., Hu, Z., Pei, F., Zhang, H., Gao, Y., Sun, L., Li, X., Wang, W., Lv, F., Wang, D., Wang, X., Xu, D., Tang, L., Ma, Y., Wang, T., Fu, P., Wang, T., Xing, C., Zhang, C., Xu, X., He, H., Liao, X., Xie, S., Hu, G., & Huang, L.
Affiliations
  • Peking University (CN)
  • National Health and Family Planning Commission (CN)
Venue
Journal of the American Heart Association
Published
2020-06-16
Volume
9
Issue
12
Pages
e015359-e015359
ISSN
2047-9980 (ISSN-L)
OpenAlex
W3033553658
Cited by
24
References
32
Citations by year
2026: 1 · 2025: 4 · 2024: 3 · 2023: 7 · 2022: 3 · 2021: 5 · 2020: 1
FWCI
2.48
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
  • Journal of the American Heart Association (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Renal and Vascular Pathologies
Keywords
short-term blood pressure variability, systolic blood pressure, chronic kidney disease, kidney disease progression, dialysis initiation, kidney transplantation, weighted standard deviation, circadian blood pressure rhythm, angiotensin receptor blockers, 24-hour ambulatory blood pressure
MeSH terms
Adult, Aged, Antihypertensive Agents, Blood Pressure, China, Female, Glomerular Filtration Rate, Renal Dialysis, Humans, Hypertension, Kidney, Male, Middle Aged, Prospective Studies, Risk Factors, Time Factors, Incidence, Kidney Transplantation, Disease Progression, Risk Assessment, Renal Insufficiency, Chronic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review