Mortality and risk factors associated with peptic ulcer bleeding among adult inpatients of Damascus Hospital, Syria: A cross-sectional study.
Marouf Mouhammad AlhalabiPublished in: Medicine (2023)
Peptic ulcer bleeding is associated with significant morbidity and mortality, while monitoring mortality is extremely beneficial to public health, and the latest estimates date back to 2010 for the Syrian population. This study aims to estimate the in-hospital mortality rate and risk factors associated with peptic ulcer bleeding among adult inpatients at Damascus Hospital, Syria. A cross-sectional study with systematic random sampling. Sample size (n) was calculated using the proportional equation: [n = Z2P (1 - P)/d2], with the following hypothesis: Z = 1.96 for the 95% confidence level, P = .253 for mortality in patients hospitalized with complicated peptic ulcers, a margin of error (d) = 0.05, 290 charts were reviewed, and the Chi-square test (χ2 test) was used for categorical variables, and the t test for continuous data. We reported the odds ratio in addition to mean and standard deviation with a 95% confidence. A P value less than .05 was considered statistically significant. Data were analyzed using a statistical package for the social sciences (SPSS). The mortality rate was 3.4%, and the mean age was 61.76 ± 16.02 years. The most frequent comorbidities were hypertension, diabetes mellitus, and ischemic heart disease. The most commonly used medications were NSAIDs, aspirin, and clopidogrel. 74 patients (25.52%) were using aspirin with no documented indication P < .01, odds ratio = 6.541, 95% CI [2.612-11.844]. There were 162 (56%) Smokers. Six patients (2.1%) suffered from recurrent bleeding, and 13 (4.5%) needed surgery. Raising awareness about the risks of using non-steroidal anti-inflammatory drugs may reduce the occurrence of peptic ulcers and, as a result, peptic ulcer complications. Larger, nationwide studies are needed to estimate the real mortality rate in complicated peptic ulcer patients in Syria. There is a lack of some critical data in the patients' charts, which necessitates action to correct.
Keyphrases
- end stage renal disease
- public health
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- low dose
- machine learning
- risk factors
- deep learning
- cardiovascular events
- patient reported
- minimally invasive
- metabolic syndrome
- coronary artery disease
- emergency department
- type diabetes
- insulin resistance
- adipose tissue
- neural network
- climate change
- smoking cessation
- human health
- young adults