Prognostic Factors of Classic Kaposi’s Sarcoma in the Hainan Area

Author:

Zhang Haihang1,Xie Panpan1,Han Fengxiang1,Fu Yu1,Wu Yi1,Zeng Jiangzheng1,Zheng Liping1,Lu Yanda1

Affiliation:

1. The First Affiliated Hospital of Hainan Medical University

Abstract

Abstract Background: Hainan Province is situated at the southernmost tip of the People's Republic of China, within the northern tropical belt. However, the risk factors for classic Kaposi's sarcoma in this region remain unknown. To explore the prognostic factors for patients with classic Kaposi’s sarcoma (CKS) and develop a nomogram to quantitatively predict cancer-specific survival (CSS) probability. Methods: This study retrospectively analyzed the clinical data of 42 CKS patients admitted between January 1999 and June 2022. Univariate analysis was performed to screen for significant variables, which were then included in a multivariate Cox regression analysis to futher investigate their impact. A nomogram was developed to predict patient CSS, and its performance was evaluated using an ROC curve. Results: All patients were middle-aged and elderly, and there were significantly more males than females, with a male-to-female ratio of 4.2:1 Univariate analysis found several factors that might influence CKS prognosis, including sex, race, stage, lower limb lesions, concurrent upper and lower limb lesions, white blood cells(WBCs), hemoglobin(Hb), and human herpesvirus 8 (HHV-8) (P < 0.05). Multi-factor analysis showed that sex (hazard ratio [HR]: 0.146, confidence interval [CI]: 0.033–0.648, P = 0.011) and race (HR: 0.229, CI: 0.065–0.803, P < 0.021) were protective factors, while stage (HR: 3.728, CI: 1.015–13.695, P < 0.047) was an independent risk factor. The nomogram constructed from these factors had better predictive performance than sex, ethnicity, and stage. Conclusions: Sex, nationality, and stage were independent factors influencing CKS prognosis, and the constructed nomogram could aid in survival estimation and individualized treatment decisions.

Publisher

Research Square Platform LLC

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