Evaluation of Postoperative Complication Rates and Associated Factors in Surgical Patients
Authors/Creators
- 1. Assistant Professor Dept. of Surgery Dr. Rajendra Gode Medical College, Amravati.
- 2. Demonstrator Dept. of Microbiology Dr. Rajendra Gode Medical College, Amravati.
- 3. Assistant Professor Dept. of Orthopaedics Dr. Rajendra Gode Medical College, Amravati.
Description
Background: Postoperative complications are a significant concern in surgical practice, impacting patient outcomes and healthcare resource utilization. Comprehensive evaluations of complication rates and associated factors are essential for improving surgical care. Methods: This cross-sectional study conducted at a tertiary care center aimed to assess postoperative complication rates and associated factors among surgical patients. Data were extracted from electronic medical records, including demographics, preoperative comorbidities, surgical characteristics, and postoperative outcomes. Descriptive statistics and multivariable regression analysis were used to analyze the data. Results: A total of 1,200 surgical patients were included in the analysis. The mean age was 56 years, with 55% being male. Surgical site infections (10%) were the most common complication, followed by pulmonary complications (6.7%) and wound dehiscence (5%). Multivariable regression analysis identified age, presence of comorbidities, and intraoperative complications as independent predictors of postoperative complications. Conclusion: This study highlights the significant burden of postoperative complications among surgical patients at a tertiary care center. Identification of specific risk factors provides insights for targeted interventions to improve patient outcomes.
Abstract (English)
Background: Postoperative complications are a significant concern in surgical practice, impacting patient outcomes and healthcare resource utilization. Comprehensive evaluations of complication rates and associated factors are essential for improving surgical care. Methods: This cross-sectional study conducted at a tertiary care center aimed to assess postoperative complication rates and associated factors among surgical patients. Data were extracted from electronic medical records, including demographics, preoperative comorbidities, surgical characteristics, and postoperative outcomes. Descriptive statistics and multivariable regression analysis were used to analyze the data. Results: A total of 1,200 surgical patients were included in the analysis. The mean age was 56 years, with 55% being male. Surgical site infections (10%) were the most common complication, followed by pulmonary complications (6.7%) and wound dehiscence (5%). Multivariable regression analysis identified age, presence of comorbidities, and intraoperative complications as independent predictors of postoperative complications. Conclusion: This study highlights the significant burden of postoperative complications among surgical patients at a tertiary care center. Identification of specific risk factors provides insights for targeted interventions to improve patient outcomes.
Files
IJTPR,Vol14,Issue2,Article20.pdf
Files
(314.4 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:886c35a8f3e0c7db65bf9315970966e2
|
314.4 kB | Preview Download |
Additional details
Dates
- Accepted
-
2024-02-14
Software
References
- 1. Weiser TG, Regenbogen SE, Thompson KD, et al. An estimation of the global volume of surgery: a modelling strategy based on available data. Lancet. 2008;372(9633):139-144. 2. Khuri SF, Henderson WG, DePalma RG, Mosca C, Healey NA, Kumbhani DJ; Participants in the VA National Surgical Quality Improvement Program. Determinants of long-term survival after major surgery and the adverse effect of postoperative complications. Ann Surg. 200 5;242(3):326- 341. 3. Bennett-Guerrero E, Welsby I, Dunn TJ, et al. The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. Anesth Analg. 1999;89(2):514-519. 4. American College of Surgeons. National Surgical Quality Improvement Program. https:// www.facs.org/quality-programs/acs-nsqip. Accessed January 10, 2024. 5. Bilimoria KY, Cohen ME, Ingraham AM, et al. Effect of postdischarge morbidity and mortality on comparisons of hospital surgical quality. Ann Surg. 2010;252(1):183-190. 6. Birkmeyer JD, Shahian DM, Dimick JB, et al. Blueprint for a new American College of Surgeons: National Surgical Quality Improvement Program. J Am Coll Surg. 2008;207(5):777-78 2. 7. Silber JH, Rosenbaum PR, Trudeau ME, et al. Multivariate matching and bias reduction in the surgical outcomes study. Med Care. 2001; 39(10):1048-1064. 8. Hawn MT, Itani KM, Gray SH, et al. Association of timely administration of prophylactic antibiotics for major surgical procedures and surgical site infection. J Am Coll Surg. 2008; 206(5):814-819. 9. Sobh E, Nakahira S, Thakur S, et al. Risk factors for postoperative complications and readmission in percutaneous nephrolithotomy. J Urol. 2019;202(2):262-267. 10. Kao LS, Ghaferi AA, Ko CY, Dimick JB. Reliability of superficial surgical site infections as a hospital quality measure. J Am Coll Surg. 2011;213(2):231-235. 11. Dimick JB, Weeks WB, Karia RJ, Das S, Campbell DA Jr. Who pays for poor surgical quality? Building a business case for quality improvement. J Am Coll Surg. 2006;202(6): 933-937. 12. Shiloach M, Frencher SK Jr, Steeger JE, et al. Toward robust information: data quality and inter-rater reliability in the American College of Surgeons National Surgical Quality Improvement Program. J Am Coll Surg. 2010; 210(1):6-16. 13. Lee J, Kalfas I, Strickland T, Mangano DT. Perioperative glucose control and morbidity in the surgical patient: a systematic review and meta-analysis. Clin Nutr ESPEN. 2020;40:72- 84. 14. Ricciardi R, Roberts PL, Read TE, Hall JF, Marcello PW, Schoetz DJ. Which adverse events are associated with mortality and prolonged length of stay following colorectal surgery? J Gastrointest Surg. 2013;17(7):1485- 14 93.