A Multi Center, Epidemiological Study of Bone Tuberculosis in Southwest China from 2011 to 2023

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2024年11月18日

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Xiaopeng Qin,
Boli Qin,
Chenxing Zhou,
Chong Liu,
Tianyou Chen,
Jichong Zhu,
Chengqian Huang,
Shaofeng Wu,
Rongqing He,
Songze Wu,
Sitan Feng,
Jiarui Chen,
Jiang Xue,
Wendi Wei,
Liyi Chen,
Kechang He,
Zhendong Qin,
Tiejun Zhou,
Jie Ma,
Xinli Zhan

摘要

Background

Despite continued efforts to manage and control Tuberculosis (TB) in China, it remains a major health concern. Bone tuberculosis (Bone-TB), a common form of extrapulmonary tuberculosis, still adds considerably to the global TB case load. Diagnosing Bone-TB is often difficult as its symptoms can be similar to other bone or joint diseases, which leads to delayed detection and treatment. Currently, comprehensive reports on the epidemiological aspects of Bone-TB in China are scarce.

Methods

This retrospective study analyzed demographic and clinical data from 2,191 patients diagnosed with Bone-TB in Southwest China between January 2011 and September 2023.This study fully reveals the characteristics of Bone-TB in Southwest China.

Results

The overall trend of bone tuberculosis was a slow rise. Among 2191 patients, males, farmers, aged 42–68 years, and people with HIV and diabetes are the priority groups for the prevention and treatment of Bone-TB. The majority of the infected spines (1556/2191) were located in the thoracic vertebra (759/2191) and lumbar vertebra (715/2191). Forty-nine (2.24%) patients had drug-resistant TB (DR-TB). Forty-five (2.05%) died during the treatment. The total and actual hospitalization. Costs amounted to $3,837.10 and $1,914.35 (p < 0.01). Patients with DR-TB incurred the highest costs, amounting to $4,968.37. Cervical TB, with a prevalence of 5 patients (6.10%), exhibited the highest rates of catastrophic expenditures.

Conclusions

From 2011 to 2023, the yearly occurrence of Bone-TB in southwestern China exhibited a rising pattern, marked by notable distinctions in terms of gender, age, and regional variations, indicating localized clustering characteristics.