Kwik Vida Arianti Hadinata, Widya Hari Cahyati, Yuni Wijayanti

Analysis of Factors Related to Stroke Occurrence at William Booth Hospital Semarang

Introduction

Analysis of factors related to stroke occurrence at william booth hospital semarang. Analyzes stroke factors in hypertensive patients at William Booth Hospital Semarang. Key risks identified: age, gender, blood sugar, cholesterol, and heart disease history. Vital for prevention.

Abstract

Stroke is a serious disease that occurs when blood flow to the brain is disrupted, either due to a blockage in the blood vessels (ischemic stroke) or a rupture of the blood vessels (hemorrhagic stroke). This condition can cause brain cell death in a short period of time and is at risk of causing permanent disability. This study aims to analyze the factors associated with the occurrence of stroke in hypertensive patients at RSU William Booth Semarang. This research is a quantitative study with a nested case-control design, using electronic medical record data from RSU William Booth Semarang in 2023. The variables in this study are age, gender, blood sugar levels, total cholesterol levels, triglyceride levels, HDL levels, LDL levels, uric acid levels, and a history of heart disease. The analysis used includes univariate analysis, bivariate analysis with chi-square test. The variables that are statistically significant are age (p=0.005), gender (p=0.021), random blood sugar levels (p=0.010), total cholesterol levels (p=0.009), triglyceride levels (p=0.034), HDL blood levels (p=0.049), LDL blood levels (p=0.034), and history of heart disease (p=0.023). The conclusion of this study is that early detection and management of risk factors, especially blood pressure control and cholesterol levels, are very important in preventing stroke. Educating the public about healthy lifestyles can also help reduce the incidence of strokes in the future.

Review

This study presents a relevant investigation into the factors associated with stroke occurrence among hypertensive patients at RSU William Booth Semarang, a critical area given the serious implications of stroke. The research employs a nested case-control design, which is suitable for exploring risk factors within a defined cohort. The abstract clearly outlines a comprehensive set of variables examined, including demographic, biochemical, and comorbidity factors, demonstrating a thorough approach to identifying potential predictors. The use of electronic medical records from 2023 provides a timely data source, and the reported statistically significant findings across multiple variables (age, gender, various lipid and glucose levels, and history of heart disease) offer valuable insights into specific risk profiles within this vulnerable patient group. While the study's objective and initial findings are commendable, the abstract reveals several areas that would benefit from further detail and methodological rigor in a full manuscript. A significant omission is the absence of information regarding the sample size (n) for both cases and controls, which is fundamental for evaluating the power and generalizability of the findings. Furthermore, while bivariate analysis with chi-square tests identifies significant associations, the absence of multivariate analysis (e.g., logistic regression) is a notable limitation. With multiple factors showing significance, a multivariate approach would be crucial to determine independent predictors and control for potential confounding variables, providing a more robust understanding of the actual risk factors. The conclusion also mentions "blood pressure control" as very important, yet blood pressure control status itself is not listed as an explicit variable analyzed, which creates a slight disconnect, particularly given the study population consists of hypertensive patients. In conclusion, this research makes an important contribution by identifying several significant risk factors for stroke among hypertensive patients at a specific hospital. The preliminary findings underscore the importance of vigilant monitoring of various physiological parameters and comorbidities. For a full publication, it is strongly recommended that the authors provide explicit details on the sample size and the exact methodology for case and control selection. Crucially, incorporating multivariate analysis would substantially strengthen the conclusions by differentiating independent risk factors from correlated ones. Addressing these methodological aspects, along with clarifying the role of blood pressure control as an outcome or a detailed variable within the hypertensive cohort, would significantly enhance the study's scientific rigor and the utility of its conclusions for clinical practice and public health interventions.

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