在身体质量指数谱最低和最高两端的住院病人的特征

Dennis Diane M, Haak Jenna, Carter Vicki, T. Michelle, C. Ian
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引用次数: 1

摘要

背景:最近的研究结果表明,在澳大利亚一家三级医院的住院队列中,体重不足(UW)和极度肥胖(EO)的人比例过高。本研究旨在描述这些患者的特征,并确定该亚群与其余队列之间是否存在差异。方法:在2015年的一项前瞻性点患病率研究中,对先前被确定为UW或EO的患者进行单中心回顾性病例记录审查,并与那些“接近正常体重”的体重指数(BMI)患者进行比较。结果:回顾了48份患者记录(33份UW;15份EO)。大多数UW患者因癌症相关疾病入院接受普通医学治疗,而EO患者因不同专业入院,最常见的是心血管疾病。两组患者过去最常见的病史是心血管疾病。与所有其他BMI类别的患者相比,两组患者住院时间延长的风险均不高(p=0.94)。与EO组相比,体重不足的患者经年龄调整后的Charlson合并发病指数得分显著较高(p=0.01),尽管没有统计学意义,UW患者的死亡率(住院、出院后28天和出院后1年)较高(分别为p=0.54;p=1;p=1)。两组患者在出院后28天内的再次入院率均高于整个医院的报告。结论:所提供的数据增加了与BMI谱两端患者的健康结果相关的有限证据。降低这些群体的再次入院频率可能会在未来节省大量成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Hospitalised Patients at the Lowest and Highest Ends of the Body Mass Index Spectrum
Background: Recent findings established that underweight (UW) and extremely obese (EO) people were over-represented in the inpatient cohort of one Australian tertiary hospital. This study aimed to describe the characteristics of these patients and identify if differences existed between this subset and the remaining cohort. Method: Single-centre retrospective case-note review of patients previously identified as being UW or EO during a 2015 prospective point prevalence study, and comparison with those who had “closer-to-normal-weight” body mass index (BMI). Results: Forty eight patient notes were reviewed (33 UW; 15 EO). The majority of UW patients were admitted under General Medicine with cancer-related illness, whereas EO patients were admitted across specialties, most commonly with a cardiovascular condition. The most frequent past medical history for both groups was a cardiovascular disorder. Compared to patients in all other BMI categories, there was no higher risk of prolonged hospital length of stay in either patient group (p = 0.94). Underweight patients had significantly higher age-adjusted Charlson co-morbidity index scores compared to the EO group (p = 0.01), and although not statistically significant, there was higher frequency of mortality (in-hospital, 28-day and 1-year post-discharge) in those UW (p = 0.54; p = 1; p = 1 respectively). Both groups demonstrated higher rates of hospital re-admission within 28 days of discharge than those reported for this hospital as a whole. Conclusion: Data presented adds to the limited evidence relating to health outcomes for patients at either end of the BMI spectrum. Decreasing hospital re-admission frequency in these groups might result in considerable cost savings in the future.
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