Rania Farhan Hamdan Khreisat, Eman Farhan Hamdan Khreisat, Majd Yaser Salem Abu Hammour, Rula Yacoub Thukran Milkonean, Rawan Bassam Abdullah Abbadi, Aisha Shafeeq Mohmad Obeidat, kholoud Muhsen Al_quraan
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Methods: A retrospective study was conducted at Prince Rashid bin Al-Hasan Military Hospital, Jordan, to examine the correlations and quality of patients' functionality statuses based on Age-adjusted Charlson Co-Morbidity Index (AACCI) and femoral hip bone mineral density (fH_BMD). The study categorized patients into two cohorts, with functional grades ranging from III-IV to I-II. The results were analyzed using statistical tests and confidence intervals. Results: A Multiple Logistic Regression model was developed to simulate the relationship between patients' Age-adjusted Charlson Co-Morbidity Index (AACCI) and femoral hip bone mineral density (fH_BMD) and their functionality statuses. The model was statistically significant, explaining variation in the dependent variable from 30%-40.2% depending on the reference method. It correctly classified 78.2% of cases, with the explained variation ranging from 30%-40.2% depending on the method used. Conclusion: A small, non-sponsored study found an exponential association between patients' femoral bone mineral density and their functionality status, with this correlation shifting to the right when the Age-adjusted Charlson Co-Morbidity Index is ≥4.","PeriodicalId":23738,"journal":{"name":"World Journal of Biology Pharmacy and Health Sciences","volume":"16 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Importance of bone mineral density and comorbidity index for functionality\",\"authors\":\"Rania Farhan Hamdan Khreisat, Eman Farhan Hamdan Khreisat, Majd Yaser Salem Abu Hammour, Rula Yacoub Thukran Milkonean, Rawan Bassam Abdullah Abbadi, Aisha Shafeeq Mohmad Obeidat, kholoud Muhsen Al_quraan\",\"doi\":\"10.30574/wjbphs.2024.17.2.0016\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Assessing elderly ambulatory patients at risk of osteoporotic fractures is crucial for achieving appropriate functioning, including daily activities, rehabilitation, lifestyle improvements, and dietary optimization. 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The model was statistically significant, explaining variation in the dependent variable from 30%-40.2% depending on the reference method. It correctly classified 78.2% of cases, with the explained variation ranging from 30%-40.2% depending on the method used. 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引用次数: 0
摘要
背景:评估有骨质疏松性骨折风险的老年非卧床患者对于实现适当的功能至关重要,包括日常活动、康复、生活方式改善和饮食优化。目的:本研究主要通过评估患者的骨骼健康和合并症来预测骨质疏松性骨折的功能,采用多元逻辑回归法,并对最佳操作点的队列进行比较。研究方法约旦拉希德-本-哈桑王子军事医院开展了一项回顾性研究,根据年龄调整后的查尔森共病指数(AACCI)和股骨髋骨矿物质密度(fH_BMD),检查患者功能状态的相关性和质量。研究将患者分为两组,功能等级从 III-IV 到 I-II。研究结果通过统计检验和置信区间进行分析。结果建立了一个多重逻辑回归模型,以模拟患者的年龄调整查尔森共病指数(AACCI)和股骨髋骨矿物质密度(fH_BMD)与其功能状态之间的关系。该模型具有显著的统计学意义,可解释因变量 30%-40.2% 的变化,具体取决于参考方法。该模型对 78.2% 的病例进行了正确分类,根据所用方法的不同,所解释的变异范围在 30%-40.2% 之间。结论一项非赞助的小型研究发现,患者的股骨骨质密度与他们的功能状态之间存在指数关系,当年龄调整后的夏尔森共病指数≥4时,这种相关性向右移动。
Importance of bone mineral density and comorbidity index for functionality
Background: Assessing elderly ambulatory patients at risk of osteoporotic fractures is crucial for achieving appropriate functioning, including daily activities, rehabilitation, lifestyle improvements, and dietary optimization. Aim: This study focuses on evaluating bone health and comorbidities in patients to predict osteoporotic fracture functionality, using multiple logistic regression and comparing cohorts for optimal operating points. Methods: A retrospective study was conducted at Prince Rashid bin Al-Hasan Military Hospital, Jordan, to examine the correlations and quality of patients' functionality statuses based on Age-adjusted Charlson Co-Morbidity Index (AACCI) and femoral hip bone mineral density (fH_BMD). The study categorized patients into two cohorts, with functional grades ranging from III-IV to I-II. The results were analyzed using statistical tests and confidence intervals. Results: A Multiple Logistic Regression model was developed to simulate the relationship between patients' Age-adjusted Charlson Co-Morbidity Index (AACCI) and femoral hip bone mineral density (fH_BMD) and their functionality statuses. The model was statistically significant, explaining variation in the dependent variable from 30%-40.2% depending on the reference method. It correctly classified 78.2% of cases, with the explained variation ranging from 30%-40.2% depending on the method used. Conclusion: A small, non-sponsored study found an exponential association between patients' femoral bone mineral density and their functionality status, with this correlation shifting to the right when the Age-adjusted Charlson Co-Morbidity Index is ≥4.