SEX DIFFERENCES IN HYPERTENSION MANAGEMENT USING KAPLAN-MEIER & LOG-RANK TEST

https://doi.org/10.5281/zenodo.14246349

Authors

  • Abduljalil Alfa Unit of Statistics, Department of Mathematics, Federal University, Birnin-Kebbi, Kebbi State, Nigeria
  • Anas Department of Mathematics, Adeyemi Federal University of Education, Ondo, Ondo State, Nigeria

Keywords:

hypertensive Management, Kaplan–Meier Estimator, Log-Rank Test, Gender Differences, Survival Analysis

Abstract

This study investigated gender differences in hypertensive management by employing Kaplan–Meier Estimator and Log-Rank Test methodologies. Data were collected from 300 hypertensive patients at Specialist Hospital Sokoto between 2015 and 2021. The Kaplan–Meier survival curves demonstrated that the median times to achieve optimal hypertension control were 43.43 months (3.62 years) for men and 37.76 months (3.15 years) for women. Despite these differences, the log-rank test revealed no significant differences in survival curves between genders (p = 0.259). These findings suggest that sex did not significantly influence the time to optimal hypertensive management in this cohort. The findings of this study underscore the need for further research with larger sample sizes to explore potential variations in hypertensive management across different demographics. The recommendations include personalized patient care strategies and continued public health efforts to ensure equitable hypertensive management.

Published

2024-11-29

How to Cite

Ismail, I. A. A., & Ibrahim, I. A. (2024). SEX DIFFERENCES IN HYPERTENSION MANAGEMENT USING KAPLAN-MEIER & LOG-RANK TEST. International Journal of Interdisciplinary Research in Medical and Health Sciences (IJIRMHS), 11(3), 29–36. https://doi.org/10.5281/zenodo.14246349

Issue

Section

Original Peer Review Articles

References

Bailey, K. R., Grossart, B. R., & Graves, J. W. (2008): Novel use of Kaplan–Meier methods to explain age and gender differences in hypertension control rates. Hypertension, 51(4). https://doi.org/10.1161/HYPERTENSIONAHA.107.101659.

Clark T. G., Bradburn M. J., Love S. B., & Altman D. G. (2003): Survival analysis part I: basic concepts and first analyses. Br J Cancer. 2003; 89:232–238 doi: 10.1038/sj.bjc.6601118.

David, D. H. (2011): Modeling Survival Data Using Frailty Models (pp. 3). Boca Raton, Florida: Chapman & Hall/CRC.

DesJardin, J. T., Time, N., Colitis, N. A., Frontal, R. A., Lammi, M. R., Mathaei S. C., ventetuolo, C. E., & De Marco, T. (2024): Investigating the “sex paradox” in pulmonary arterial hypertension: Results from the Pulmonary Hypertension Association Registry (PHAR). Journal of Heart and Lung Transplantation. https://doi.org/10.1016/j.healun.2024.02.004.

GEese M. T. (2017): Survival Analysis of Time to Cardiovascular Disease Complication of Hypertensive Patients at FelegeHiwot Referral Hospital in Bahir-Dar, Ethiopia. Archives of Current Research International 10(3): 1-9. Doi: 10.9734/ACRI/2017/36017.

In, K., & Lee D. K. (2018): Survival analysis: Part I-analysis of time-to-event. Korean Journal of Anesthesiology, 71(3): 182-191, doi:10.4097/kja.d.18.00067.

Hosmer D.W., Lemeshow S., & May S. (2008). Applied Survival Analysis: Regression Modeling of Time- to- Event Data. 234-654

Joo, H. J., Yum, Y., Kim, Y. H., Son, J.-W., Kim, S. H., Choi, S., Han, S., Shin, M.-S., Jong, J.O., Kim, E. J., & Working Group on Hypertension Complication. (2023). Sex differences in blood pressure control rate and clinical prognosis among patients with resistant hypertension: Real-world observation study. Journal of Korean Medical Science, 38(16), e124. https://doi.org/10.3346/jkms.2023.38.e124.

Lv, Y., Cao, X., Yu, K., Pu, J., Tang, Z., Wei, N., Wang, J., Liu, F., & Li, S. (2024). Sex differences in all-cause and cardiovascular mortality among US adults: from NHANES 2005–2018. Frontiers in Cardiovascular Medicine, 11. doi: 10.3389/fcvm.2024.1283132.

Patrick S., & Thomas R. V. (2018): Survival Analysis and Interpretation of Time-to-Event Data: The Tortoise and the Hare. Anesthesia & Analgia DOI: 10.1213/ANE.0000000000003653.

Ricard Peto & Julian Peto (1976): Asymptotocallu Efficient Rnak Invariant Test Procedures. Journal of the Royal Statistical Society, Vol.138, No. 2, 1976.

Sheik, A. A., Selvakumar, S, Parkavi, R., Suganya, R., & Venkatesh, M. (2019): An Introduction to Survival Analytics, Types, and Its Applications. Intech open. DOI: http://dx.doi.org/10.5772/intechopen.80953.

Sendek, E. M., & Hebo, S. H. (2017): Modeling time-to-good control of hypertension using Cox proportional hazard and frailty models at Bahir-Dar FelegeHiwot Referral Hospital, Open Access Medical Statistics 2017:7 27–36 doi.org/10.2147/OAMS.S128088.

Waldron, C., Pundits, A., Crane, M., Persson, A., & Mori, M. (2024). Sex differences in the management, intervention, and outcomes of patients with severe primary mitral regurgitation. Journal of the American Heart Association 13(13). https://doi.org/10.1161/JAHA.123.033635

World Health Organization (2013): A Global Brief on hypertensive World Health Day. Google Scholar.