Incidence, causes, and risk factors for unplanned readmission in patients admitted with pulmonary tuberculosis in China

Ye, Xinchun; Su, Xiaoqiao; Shi, Jichan; Jiang, Xieyuan; Liu, Saiduo; Cheng, Fang; Pan, Ning; Qiu, Chaochao; Pan, Chen‐Wei

doi:10.3855/jidc.17190

Cited by 3 publications

(1 citation statement)

References 20 publications

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“… 14 Research indicates that factors such as gender, age, place of residence, smoking status, history of COPD, history of chronic hepatitis, non-compliance with standard anti-tuberculosis treatment, and adverse drug reactions are associated with an increased risk of unplanned readmission for tuberculosis. 15 There are also studies indicating that the median readmission time for patients with PTB is 24 days, primarily due to fever, worsening breathing difficulties, and hemoptysis. 16 Additionally, being aged ≥ 65 years old is significantly correlated with readmission of tuberculosis patients within one month after discharge.…”

Section: Discussionmentioning

confidence: 99%

A Study on Risk Factors for Readmission of Elderly Patients with Pulmonary Tuberculosis Within One Month Using Propensity Score Matching Method

Feng,

Guo,

Luo

et al. 2024

IDR

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Objective Exploring the risk factors for readmission of elderly patients with pulmonary tuberculosis (PTB) within one month using the propensity score matching(PSM). Methods A retrospective analysis was conducted on the clinical data of elderly patients with PTB who were admitted to the Tuberculosis Department of Lishui Hospital of Traditional Chinese Medicine from January 2020 to October 2023. The patients were divided into two groups: non-readmission group and readmission group based on whether they were readmitted within one month after discharge. The PSM method was used to match the baseline data of the two groups of patients, and multivariate logistic regression analysis was conducted to explore the risk factors for readmission of elderly patients with PTB within one month after discharge. Results A total of 1268 hospitalized elderly patients with PTB were included in the study, comprising 977 readmitted patients and 291 newly admitted patients (22.95%). Using the PSM, 288 pairs of patients were successfully matched. Following matching, there were no statistically significant differences between the two groups in terms of gender, age, occupation, body mass index(BMI), past medical history, etc. (all P >0.05). Multivariate logistic regression analysis indicated that infection, drug-induced liver injury(DILI), acute heart failure(AHF), chronic kidney disease(CKD), and extrapulmonary tuberculosis(EPTB) were all identified as risk factors for readmission of elderly patients with PTB. Conclusion After controlling for confounding factors through PSM, the study revealed that infection, DILI, AHF, CKD, and EPTB are risk factors for readmission among elderly patients with PTB, highlighting the need for early intervention.

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Section: Discussionmentioning

confidence: 99%

A Study on Risk Factors for Readmission of Elderly Patients with Pulmonary Tuberculosis Within One Month Using Propensity Score Matching Method

Feng,

Guo,

Luo

et al. 2024

IDR

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The correlation between the need for continuing care services, influencing factors, and social support and discharge readiness among discharged patients with pulmonary tuberculosis in China: A cross-sectional study

Wang,

Rao,

Zhou

et al. 2024

Applied Nursing Research

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Risk factors for positive pulmonary tuberculosis, Jazan Region, Saudi Arabia

Yassin

2024

Saudi Journal for Health Sciences

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Background: Tuberculosis (TB) remains a major health problem worldwide. Identifying risk factors for developing TB is most important in controlling disease progression and spread among the target population and the whole community. Aim: The current study aimed to identify the associated risk factors with positive smear for Mycobacterium tuberculosis (MTB) patients in the Jazan Region, Saudi Arabia (SA). Settings and Design: A cross-sectional study was conducted over 10 months, in the Jazan Region, SA. Subjects and Methods: The study involved the use of a questionnaire, which consisted of three parts: demographic information, TB risk factors, and smear microscopy for MTB. Statistical Analysis Used: Descriptive statistics and correlation using Chi-square and multi-linear regression to identify the correlation between identified risk factors and certain factors. An adjusted odds ratio (OR) was also calculated. Results: The enrolled patients were 114 with a mean age of 35.77 years, the majority (76.3%) were below 45 years, and males constituted 71.1% of the sample. Marital status varied, with 57.9% being single. The population represented urban (39.5%) and rural (60.5%) lifestyles, and 63.2% were employed. Most had family sizes exceeding five members (78.1%), and 43.9% had more than three rooms in their residences. The smear-positive rate was 66.7%, with potential gender differences, but this difference was not statistically significant. Smoking, substance abuse, and contact with active TB patients were common risk factors. Females had lower odds of human immunodeficiency virus, diabetes, chronic conditions, and smoking but higher odds of substance abuse, psychiatric problems, and contact with active TB patients. Females were more likely to have a history of chronic respiratory diseases, contact with active TB patients, and psychiatric problems. Significant associations (P < 0.05) existed between smear positivity and age group, being single, contact history with active TB, and diabetes. Adjusted ORs confirmed age and being single as independent risk factors for smear-positive pulmonary TB (PTB). Age and family size were identified as significant predictors of positive smear for TB, explaining approximately 36% of the variance. Other variables such as gender, marital status, residence, occupation, and past medical histories did not significantly contribute to predicting smear positivity. Conclusion: The current study focused on identifying significant risk factors among newly diagnosed PTB patients. The study revealed that age, marital status, contact with TB patients, diabetes, smoking, and substance abuse were all reported risk factors. The smear positivity was found to be statistically significant with the younger age groups, married, diabetic patients, and those with a previous history of exposure to tuberculous patients. These findings provide valuable insights for designing tailored interventions in the Jazan region.

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Incidence, causes, and risk factors for unplanned readmission in patients admitted with pulmonary tuberculosis in China

Cited by 3 publications

References 20 publications

A Study on Risk Factors for Readmission of Elderly Patients with Pulmonary Tuberculosis Within One Month Using Propensity Score Matching Method

A Study on Risk Factors for Readmission of Elderly Patients with Pulmonary Tuberculosis Within One Month Using Propensity Score Matching Method

The correlation between the need for continuing care services, influencing factors, and social support and discharge readiness among discharged patients with pulmonary tuberculosis in China: A cross-sectional study

Risk factors for positive pulmonary tuberculosis, Jazan Region, Saudi Arabia

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