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Study Papers | Medical Surgical | India | Volume 13 Issue 7, July 2024 | Popularity: 5.2 / 10

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Analysis of Surgical APGAR Score in Prediction of Post Operative Morbidity and Mortality

Dr. Roopali S Gadekar, Dr. Udaattaa N, Dr. Bhaskaran A

Abstract: Background: The Surgical APGAR Score (SAS) is a straightforward metric designed to predict postoperative morbidity and mortality using intraoperative data, including lowest heart rate (HR), lowest mean arterial pressure (MAP), and estimated blood loss (EBL). This study aimed to analyze the effectiveness of SAS in forecasting postoperative outcomes and enhancing patient management. Methods: This prospective study was conducted at MVJ Medical College and Research Hospital over 12 months, involving 180 patients. Ninety patients were assessed using SAS, while 90 were not, with one patient lost to follow - up in the non - segregated group. Patients ranged from 18 to 70 years, with a mean age of 57 years in the control group and 56.6 years in the intervention group. Data on intraoperative metrics and postoperative outcomes were collected and analyzed. The primary study endpoint was the occurrence of major complications or death within 30 days post - surgery. Results: In the control group, 16.9% of patients had an SAS of 0 - 4, indicating high risk, compared to 21.1% in the intervention group. A significant majority of patients had scores in the intermediate range (5 - 8), with 60.7% in the control group and 53.3% in the intervention group. Patients with low - risk scores (9 - 10) comprised 22.5% of the control group and 25.6% of the intervention group. Major complications or death occurred in 20/89 (22.5%) patients in the control group and 21/89 (23.6%) in the intervention group. The study found that SAS is a useful tool in predicting postoperative morbidity and mortality, with significant differences observed in critical care admissions and complication rates between the groups. Conclusion: The Surgical APGAR Score is an effective and reliable method for predicting postoperative outcomes. Its implementation in routine surgical practice can enhance patient management and resource allocation. Further research is recommended to validate and refine SAS across diverse surgical populations and settings. Recommendations: Implementation of SAS in Routine Surgical Practice: Integrate SAS into standard practice to better identify high - risk patients and improve postoperative care. Training and Education: Develop comprehensive training programs for surgical teams to ensure accurate SAS calculation and interpretation. Further Research and Validation: Conduct large - scale, multicenter studies to validate and refine SAS across various surgical types and patient demographics.

Keywords: Surgical APGAR Score (SAS), postoperative morbidity, postoperative mortality, intraoperative metrics, risk stratification, patient outcomes, hemodynamic, estimated blood loss (EBL), perioperative care, surgical risk assessment

Edition: Volume 13 Issue 7, July 2024

Pages: 818 - 822

DOI: https://www.doi.org/10.21275/MR24715124119

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