[논문]Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models

Wang, Jing; Chen, Bin; Xu, Fang; Chen, Qin; Yue, Jing; Wen, Jingjing; Zhao, Fang; Gou, Min; Zhang, Ya

doi:10.3389/fpubh.2023.1150333

Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models 원문보기

Frontiers in public health, v.11, 2023년, pp.1150333 -

Wang, Jing , Chen, Bin , Xu, Fang , Chen, Qin , Yue, Jing , Wen, Jingjing , Zhao, Fang , Gou, Min , Zhang, Ya

Abstract ▼ AI-Helper

BackgroundFalls are serious health events that can cause life-threatening injuries, especially among specific populations. This study assessed the risk factors associated with falls among inpatients with hematological diseases and explored the predictive value of fall risk assessment models.MethodsClinical data from 275 eligible hematology disease patients who visited Mianyang Central Hospital with or without falls from September 2019 to August 2022 were retrospectively analyzed. Fall risk scores were determined in all included patients. Clinical characteristics were compared between patients with and without falls. Binary logistic regression models were used to screen for potential fall-specific risk factors among hospitalized patients with hematology diseases.ResultsFalls occurred in 79 cases. Patients in the fall group had a higher Charlson Comorbidity Index (CCI), a higher incidence of diabetes mellitus, visual impairment, hematological malignancies, and maintenance of stable disease stage, higher glucose levels, and a greater proportion of dizziness, nocturnal defecation, and receipt of intensive chemotherapy than those in the non-fall group (all P < 0.05). Fall patients were also more likely to have used diuretics, laxatives, sedative-sleeping drugs, analgesics, albumin, and calcium, and to have had catheters placed. The Barthel Index, grade of nursing care, support of chaperones, body temperature, nutrition score, and pain score also differed significantly between the two groups (all P < 0.05). Multivariable logistic regression analysis showed that the maintenance of stable disease stage (OR = 4.40, 95% CI 2.11–9.18, P < 0.001), use of sedative and sleeping drugs (OR = 4.84, 95% CI 1.09–21.49, P = 0.038), use of diuretics (OR = 5.23, 95% CI 2.40–11.41, P < 0.001), and intensive chemotherapy (OR = 10.41, 95% CI 3.11–34.87, P < 0.001) were independent risk factors for falls. A high Barthel Index (OR = 0.95, 95% CI 0.93–0.97, P < 0.001), a high level of nursing care (OR = 0.19, 95% CI 0.04–0.98, P = 0.047), and availability of family accompaniment (OR = 0.15, 95% CI 0.06–0.34, P < 0.001) were protective factors for falls. A ROC curve analysis was used to evaluate the predictive value of different fall-specific risk scales among inpatients with hematological diseases. The Johns Hopkins Fall Risk Rating Scale had high sensibility and specificity with an area under the curve of 0.73 (95% CI 0.66–0.80, P < 0.001).ConclusionThe Johns Hopkins Fall Risk Scale had a strong predictive value for falls among hospitalized patients with hematology diseases and can be recommended as a valid tool for clinical use.

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표제어: PCR

동의어: Packet Collision Rate

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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Clinical study of falls among inpatients with hematological diseases and exploration of risk prediction models 원문보기

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