远程重症监护、病情严重程度和 30 天死亡风险:一项回顾性队列分析。

IF 2.8 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES Telemedicine and e-Health Pub Date : 2024-11-19 DOI:10.1089/tmj.2024.0436
Chiedozie Udeh, Christina M Canfield, Abigail Brown, Jonathan Castro, J Steven Hata
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引用次数: 0

摘要

引言:研究表明,远程重症监护(TCC)可改善重症监护室(ICU)中基线绩效较低的患者的治疗效果。也有证据表明,远程重症监护的效果可能会受到不同基线病情严重程度的影响。我们研究了入院时急性生理学和慢性健康评估 IV (APACHE IV) 评分四分位数(APQ1-APQ4)和 TCC 暴露与 30 天死亡率的关系。方法:回顾性队列研究对克利夫兰诊所医疗系统内九家医院 2010 年至 2019 年连续收治的 151780 名 ICU 患者进行回顾性队列研究。数据摘自机构 ICU Datamart 和 APACHE IV 注册表。分析包括人口统计学、未调整生存函数和APACHE四分位数递增(APQ1-APQ4)发病率的汇总统计。多变量泊松回归模拟了与死亡率发病率比 (IRR) 相关的协变量,包括 TCC 暴露和 APACHE 四分位数之间的统计交互作用。结果未经调整的 TCC/no TCC 死亡率风险比在 APQ1(0.83;95% 置信区间 [CI]0.71-0.97)、APQ3(0.63;95% CI 0.57-0.69)和 APQ4(0.77;95% CI 0.74-0.82)之间存在统计学差异(均 p <0.05),但在 APQ2(0.98;95% CI 0.88-1.10;p = 0.77)之间没有差异。多变量泊松模型发现,TCC 的 IRR 降低(IRR 0.82;95% CI 0.70-0.97)。相对于 APQ1,APQ2(IRR 为 2.15;95% CI 为 1.83-2.52)、APQ3(IRR 为 3.93;95% CI 为 3.39-4.56)和 APQ4(IRR 为 9.30;95% CI 为 8.10-10.67)四分位数的风险均有所增加。与 TCC 的交互作用大大降低了 APQ3 的风险(IRR 0.80;95% CI 0.67-0.96)。结论TCC暴露与30天死亡率的降低有关,受各种临床因素的影响,产生不同的影响。根据 APACHE IV 评分,病情严重程度较高而非最高四分位数的患者似乎更容易从中获益。
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Tele-Critical Care, Severity of Illness, and 30-Day Mortality Risk: A Retrospective, Cohort Analysis.

Introduction: Studies have shown that tele-critical care (TCC) improves outcomes in intensive care unit (ICU) settings with low baseline performance. Evidence also suggests that TCC outcomes may be modified by heterogenous baseline severity of illness. We examined the association of admission Acute Physiology and Chronic Health Evaluation IV (APACHE IV) score quartiles (APQ1-APQ4) and TCC exposure with 30-day mortality. Methods: Retrospective, cohort study of 151,780 consecutive ICU patients admitted to nine hospitals within Cleveland Clinic Health System from 2010 to 2019. Data were abstracted from an institutional ICU Datamart and APACHE IV registry. Analyses included summary statistics for demographics, unadjusted survival functions, and incidence rates across ascending APACHE quartiles (APQ1-APQ4). Multivariate Poisson regression modeled covariates associated with incidence rate ratio (IRR) for mortality, across quartiles including statistical interaction between TCC exposure and APACHE quartiles. Results: Unadjusted mortality risk ratios of TCC/no TCC were statistically different across APQ1 (0.83; 95% confidence interval [CI] 0.71-0.97), APQ3 (0.63; 95% CI 0.57-0.69), and APQ4 (0.77; 95% CI 0.74-0.82) (all p < 0.05) but not in APQ2 (0.98; 95% CI 0.88-1.10; p = 0.77). Multivariate Poisson modeling found reduced IRR with TCC (IRR 0.82; 95% CI 0.70-0.97). Relative to APQ1, risk was increased across quartiles, APQ2 (IRR 2.15; 95% CI 1.83-2.52), APQ3 (IRR 3.93; 95% CI 3.39-4.56), and APQ4 (IRR 9.30; 95% CI 8.10-10.67). Interaction with TCC significantly reduced risk in APQ3 (IRR 0.80; 95% CI 0.67-0.96). Conclusion: TCC exposure is associated with reduced 30-day mortality, affected by various clinical factors, to provide heterogenous impact. Mortality benefit appears to particularly accrue among patients with higher, but not the highest quartile for severity of illness, based on their APACHE IV scores.

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来源期刊
Telemedicine and e-Health
Telemedicine and e-Health 医学-卫生保健
CiteScore
8.80
自引率
6.40%
发文量
270
审稿时长
2.3 months
期刊介绍: Telemedicine and e-Health is the leading peer-reviewed journal for cutting-edge telemedicine applications for achieving optimal patient care and outcomes. It places special emphasis on the impact of telemedicine on the quality, cost effectiveness, and access to healthcare. Telemedicine applications play an increasingly important role in health care. They offer indispensable tools for home healthcare, remote patient monitoring, and disease management, not only for rural health and battlefield care, but also for nursing home, assisted living facilities, and maritime and aviation settings. Telemedicine and e-Health offers timely coverage of the advances in technology that offer practitioners, medical centers, and hospitals new and innovative options for managing patient care, electronic records, and medical billing.
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