CLINICAL AND SURGICAL PREDICTORS OF POSTOPERATIVE COMPLICATIONS AMONG WOMEN UNDERGOING SURGERY FOR GYNECOLOGICAL MALIGNANCIES
Abstract
Gynaecological malignancies are a major health concern among women and often require complex surgical procedures for diagnosis and treatment. Identifying clinical and surgical factors associated with postoperative complications is important for improving patient safety, reducing surgical morbidity, and supporting better recovery. This prospective clinical study aimed to assess clinical and surgical predictors of postoperative complications among women undergoing surgery for gynaecological malignancies. The study was conducted in tertiary care hospitals in Pakistan, where data were collected prospectively from women undergoing surgical treatment for confirmed or suspected gynaecological malignancies. A total sample of 381 women was recruited using a consecutive sampling technique. Data were collected through clinical assessments, patient interviews, and reviews of medical records using a structured data collection form. Information regarding demographic characteristics, clinical history, cancer-related characteristics, comorbidities, type of malignancy, surgical procedure, duration of surgery, intraoperative blood loss, and postoperative outcomes was recorded. Data were analyzed using the Statistical Package for the Social Sciences (SPSS), including frequencies, percentages, means, and standard deviations, along with chi-square tests, independent sample t-tests, and logistic regression analysis to identify significant predictors of postoperative complications. The findings indicated that selected clinical and surgical characteristics were associated with postoperative complications among women undergoing surgery for gynaecological malignancies. The study highlights the importance of comprehensive preoperative assessment, careful surgical planning, identification of high-risk patients, and close postoperative monitoring. The findings may help healthcare professionals improve perioperative management, reduce postoperative morbidity, and enhance the safety and quality of surgical care for women with gynaecological malignancies.
Keywords
- Gynaecological Malignancies, Postoperative Complications, Clinical Predictors, Surgical Predictors, Surgical Outcomes, Women's Health, Patient Safety, Logistic Regression.
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