A nomogram model based on SII, AFR, and NLR to predict infectious complications of laparoscopic hysterectomy for cervical cancer

Autor:	Hailin Xing, Donglan Yuan, Yabin Zhu, Lin Jiang
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	Cervical cancer Laparoscopic hysterectomy Postoperative infectious complications Risk factor Nomogram model Surgery RD1-811 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Zdroj:	World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-7 (2024)
Druh dokumentu:	article
ISSN:	1477-7819
DOI:	10.1186/s12957-024-03489-0
Popis:	Abstract Background This study aimed to investigate the potential risk factors associated with postoperative infectious complications following laparoscopic hysterectomy for cervical cancer and to develop a prediction model based on these factors. Methods This study enrolled patients who underwent selective laparoscopic hysterectomy for cervical cancer between 2019 and 2024. A multivariate regression analysis was performed to identify independent risk factors associated with postoperative infectious complications. A nomogram prediction model was subsequently constructed and evaluated using R software. Results Out of 301 patients were enrolled and 38 patients (12.6%) experienced infectious complications within one month postoperatively. Six variables were independent risk factors for postoperative infectious complications: age ≥ 60 (OR: 3.06, 95% confidence interval (CI): 1.06–8.79, P = 0.038), body mass index (BMI) ≥ 24.0 (OR: 3.70, 95%CI: 1.4–9.26, P = 0.005), diabetes (OR: 2.91, 95% CI: 1.10–7.73, P = 0.032), systemic immune-inflammation index (SII) ≥ 830 (OR: 6.95, 95% CI: 2.53–19.07, P
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/4b5cd66dd2814a8a8f53b3edba8d0b4c Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.