Division of Research, Kaiser Permanente, Oakland, California; and.
The Permanente Medical Group, Oakland, California.
Ann Am Thorac Soc. 2022 May;19(5):781-789. doi: 10.1513/AnnalsATS.202104-451OC.
Prehospital opportunities to predict infection and sepsis hospitalization may exist, but little is known about their incidence following common healthcare encounters. To evaluate the incidence and timing of infection and sepsis hospitalization within 7 days of living hospital discharge, emergency department discharge, and ambulatory visit settings. In each setting, we identified patients in clinical strata based on the presence of infection and severity of illness. We estimated number needed to evaluate values with hypothetical predictive model operating characteristics. We identified 97,614,228 encounters, including 1,117,702 (1.1%) hospital discharges, 4,635,517 (4.7%) emergency department discharges, and 91,861,009 (94.1%) ambulatory visits between 2012 and 2017. The incidence of 7-day infection hospitalization varied from 37,140 (3.3%) following inpatient discharge to 50,315 (1.1%) following emergency department discharge and 277,034 (0.3%) following ambulatory visits. The incidence of 7-day infection hospitalization was increased for inpatient discharges with high readmission risk (10.0%), emergency department discharges with increased acute or chronic severity of illness (3.5% and 4.7%, respectively), and ambulatory visits with acute infection (0.7%). The timing of 7-day infection and sepsis hospitalizations differed across settings with an early rise following ambulatory visits, a later peak following emergency department discharges, and a delayed peak following inpatient discharge. Theoretical number needed to evaluate values varied by strata, but following hospital and emergency department discharge, were as low as 15-25. Incident 7-day infection and sepsis hospitalizations following encounters in routine healthcare settings were surprisingly common and may be amenable to clinical predictive models.
在院前阶段可能存在预测感染和脓毒症住院的机会,但对于常见医疗保健接触后这些机会的发生率知之甚少。评估在出院后 7 天内、急诊科出院后和门诊就诊环境中发生感染和脓毒症住院的发生率和时间。在每种情况下,我们根据感染和疾病严重程度的存在确定临床分层中的患者。我们估计了使用假设预测模型操作特性值需要评估的数量。我们确定了 97614228 次就诊,包括 1117702 次(1.1%)住院出院、4635517 次(4.7%)急诊科出院和 91861009 次(94.1%)门诊就诊,时间范围为 2012 年至 2017 年。7 天内感染性住院的发生率从住院出院后 37140 例(3.3%)到急诊科出院后 50315 例(1.1%)和门诊就诊后 277034 例(0.3%)不等。具有高再入院风险的住院出院(10.0%)、急性或慢性疾病严重程度增加的急诊科出院(分别为 3.5%和 4.7%)和伴有急性感染的门诊就诊(0.7%)的 7 天内感染性住院发生率增加。7 天内感染和脓毒症住院的时间在不同环境中有所不同,门诊就诊后迅速上升,急诊科出院后达到高峰,住院出院后延迟达到高峰。理论上评估值的数量因分层而异,但在医院和急诊科出院后,低至 15-25。在常规医疗保健环境中的就诊后发生的 7 天内感染和脓毒症住院的发生率出人意料地高,可能适合临床预测模型。