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Effect of Admission and Discharge Times on Hospital Mortality in Patients With Sepsis.
Zhou, Xiaoming; Weng, Jie; Xu, Zhe; Yang, Jinweng; Lin, Jiaying; Hou, Ruonan; Zhou, Zhiliang; Wang, Liang; Wang, Zhiyi; Chen, Chan.
Affiliation
  • Zhou X; Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Weng J; Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Xu Z; Department of Emergency Intensive Care Unit, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Yang J; Department of Geriatric Medicine, The First Affiliated Hospital, Wenzhou Medical University, Wenzhou, China.
  • Lin J; Department of General Practice, Taizhou Women and Children's Hospital of Wenzhou Medical University, Taizhou, China.
  • Hou R; Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhou Z; Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wang L; Department of Public Health, Robbins College of health and Human Sciences, Baylor University, Waco, TX.
  • Wang Z; Department of General Practice, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
  • Chen C; Department of General Practice, Taizhou Women and Children's Hospital of Wenzhou Medical University, Taizhou, China.
Crit Care Med ; 51(3): e81-e89, 2023 03 01.
Article in En | MEDLINE | ID: mdl-36728869
ABSTRACT

OBJECTIVES:

To assess whether the time of admission/discharge time from the ICU and weekend admission are independently associated with hospital mortality in critically ill patients with sepsis.

DESIGN:

Retrospective study. Each 24-hour period (0800 to 0759 hr) was split into three time periods, defined as "day" (0800 to 1659 hr), "evening" (1700 to 2359 hr), and "night" (0000 to 0759 hr). Weekends were defined as 1700 hours on Friday to 0759 hours on Monday. Multivariate logistic regression models were conducted to assess the association between the ICU admission/discharge time, weekend admission, and hospital mortality.

SETTING:

Single-center ICUs in China. PATIENTS Characteristics and clinical outcomes of 1,341 consecutive septic patients admitted to the emergency ICU, general ICU, or cardiovascular ICU in a tertiary teaching hospital were collected.

INTERVENTIONS:

None. MEASUREMENTS AND MAIN

RESULTS:

ICU mortality rates were 5.8%, 11.9%, and 10.6%, and hospital mortality rates were 7.3%, 15.6%, and 17.1% during the day, evening, and night time, respectively. Hospital mortality was adjusted for patient to nurse (P/N) ratio, disease severity, Charlson index, age, gender, mechanical ventilation, and shock. Notably, ICU admission time and weekend admission were not predictors of mortality after adjustment. The P/N ratio at admission was significantly associated with mortality ( p < 0.05). The P/N ratio and compliance with the Surviving Sepsis Campaign (SSC) were significantly correlated. After risk adjustment for illness severity at time of ICU discharge and Charlson index, the time of discharge was no longer a significant predictor of mortality.

CONCLUSIONS:

ICU admission/discharge time and weekend admission were not independent risk factors of hospital mortality in critically ill patients with sepsis. The P/N ratio at admission, which can affect the compliance rate with SSC, was a predictor of hospital survival. Unstable state on transfer from the ICU was the main risk factor for in-hospital death. These findings may have implications for the management of septic patients.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Patient Discharge / Sepsis Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Patient Discharge / Sepsis Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2023 Type: Article