Background Delirium is a common but serious complication in critically ill patients. Family visitation has been shown to reduce delirium; however, during the coronavirus disease 2019 (COVID-19) pandemic, intensive care units (ICUs) restricted regular visitation to prevent the spread of infection. This study aimed to evaluate the association between visitation policies and incidence of delirium in the ICUs. Methods: This was a retrospective before-and-after study conducted in medical and surgical ICUs at a tertiary hospital. Adult patients admitted to an ICU during one of two periods were included: before the COVID-19 pandemic (June 2017 to May 2019) with regular visitation and during the pandemic (June 2020 to May 2022) with prohibited visitation. Delirium was assessed using the Confusion Assessment Method for the ICU. The primary outcome was association between delirium incidence and visitation policy. Results: Totals of 1,566 patients from the pre-COVID-19 period and 1,404 patients from the COVID-19 period were analyzed. The incidence of delirium was higher during the COVID-19 period (48.1% vs. 38.4%, P<0.001). After adjusting for relevant variables, the restricted visitation policy during COVID-19 remained a risk factor for delirium (odds ratio, 1.37; 95% CI, 1.13–1.65; P=0.001). Conclusions: Complete restriction of ICU visitations during the COVID-19 pandemic was associated with a significant increase in delirium incidence. These findings suggest the importance of visitation policies on patient outcomes and suggest the need for alternative strategies, such as video visitation, to mitigate the adverse effects of visitation restrictions during pandemics.
Background The Life-Sustaining Treatment (LST) Decisions Act allows withholding and withdrawal of LST, including cardiopulmonary resuscitation (CPR). In the present study, the incidence of CPR before and after implementation of the Act was compared.
Methods This was a retrospective review involving hospitalized patients who underwent CPR at a single center between February 2016 and January 2020 (pre-implementation period, February 2016 to January 2018; post-implementation period, February 2018 to January 2020). The primary outcome was monthly incidence of CPR per 1,000 admissions. The secondary outcomes were duration of CPR, return of spontaneous circulation (ROSC) rate, 24-hour survival rate, and survival-to-discharge rate. The study outcomes were compared before and after implementation of the Act.
Results A total of 867 patients who underwent CPR was included in the analysis. The incidence of CPR per 1,000 admissions showed no significant difference before and after implementation of the Act (3.02±0.68 vs. 2.81±0.75, P=0.255). The ROSC rate (67.20±0.11 vs. 70.99±0.12, P=0.008) and survival to discharge rate (20.24±0.09 vs. 22.40±0.12, P=0.029) were higher after implementation of the Act than before implementation.
Conclusions The incidence of CPR did not significantly change for 2 years after implementation of the Act. Further studies are needed to assess the changes in trends in the decisions of CPR and other LSTs in real-world practice.
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Background Clinical deteriorations during hospitalization are often preventable with a rapid response system (RRS). We aimed to investigate the effectiveness of a daytime RRS for surgical hospitalized patients.
Methods A retrospective cohort study was conducted in 20 general surgical wards at a 1,779-bed University hospital from August 2013 to July 2017 (August 2013 to July 2015, pre-RRS-period; August 2015 to July 2017, post-RRS-period). The primary outcome was incidence of cardiopulmonary arrest (CPA) when the RRS was operating. The secondary outcomes were the incidence of total and preventable cardiopulmonary arrest, in-hospital mortality, the percentage of “do not resuscitate” orders, and the survival of discharged CPA patients.
Results The relative risk (RR) of CPA per 1,000 admissions during RRS operational hours (weekdays from 7 AM to 7 PM) in the post-RRS-period compared to the pre-RRS-period was 0.53 (95% confidence interval [CI], 0.25 to 1.13; P=0.099) and the RR of total CPA regardless of RRS operating hours was 0.76 (95% CI, 0.46 to 1.28; P=0.301). The preventable CPA after RRS implementation was significantly lower than that before RRS implementation (RR, 0.31; 95% CI, 0.11 to 0.88; P=0.028). There were no statistical differences in in-hospital mortality and the survival rate of patients with in-hospital cardiac arrest. Do-not-resuscitate decisions significantly increased during after RRS implementation periods compared to pre-RRS periods (RR, 1.91; 95% CI, 1.40 to 2.59; P<0.001).
Conclusions The day-time implementation of the RRS did not significantly reduce the rate of CPA whereas the system effectively reduced the rate of preventable CPA during periods when the system was operating.
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Background To determine the effects of implementing a rapid response system (RRS) on code rates and in-hospital mortality in medical wards.
Methods This retrospective study included adult patients admitted to medical wards at Seoul National University Hospital between July 12, 2016 and March 12, 2018; the sample comprised 4,224 patients admitted 10 months before RRS implementation and 4,168 patients admitted 10 months following RRS implementation. Our RRS only worked during the daytime (7 AM to 7 PM) on weekdays. We compared code rates and in-hospital mortality rates between the preintervention and postintervention groups.
Results There were 62.3 RRS activations per 1,000 admissions. The most common reasons for RRS activation were tachypnea or hypopnea (44%), hypoxia (31%), and tachycardia or bradycardia (21%). Code rates from medical wards during RRS operating times significantly decreased from 3.55 to 0.96 per 1,000 admissions (adjusted odds ratio [aOR], 0.29; 95% confidence interval [CI], 0.10 to 0.87; P=0.028) after RRS implementation. However, code rates from medical wards during RRS nonoperating times did not differ between the preintervention and postintervention groups (2.60 vs. 3.12 per 1,000 admissions; aOR, 1.23; 95% CI, 0.55 to 2.76; P=0.614). In-hospital mortality significantly decreased from 56.3 to 42.7 per 1,000 admissions after RRS implementation (aOR, 0.79; 95% CI, 0.64 to 0.97; P=0.024).
Conclusions Implementation of an RRS was associated with significant reductions in code rates during RRS operating times and in-hospital mortality in medical wards.
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Background The aim of this study is to evaluate the influence of immunosuppressants on in-hospital mortality from sepsis.
Methods Using data of the Health Insurance Review & Assessment Service, we collected data from patients who were admitted to the hospital due to sepsis from 2009 to 2013. Based on drugs commonly used for immunosuppression caused by various diseases, patients were divided into three groups; immunosuppressant group, steroid-only group, and control group. Patients with no history of immunosuppressants or steroids were assigned to the control group. To identify risk factors of in-hospital mortality in sepsis, we compared differences in patient characteristics, comorbidities, intensive care unit (ICU) care requirements, and immunodeficiency profiles. Subgroup analysis according to age was also performed.
Results Of the 185,671 included patients, 13,935 (7.5%) were in the steroid-only group and 2,771 patients (1.5%) were in the immunosuppressant group. The overall in-hospital mortality was 38.9% and showed an increasing trend with age. The steroid-only group showed the lowest in-hospital mortality among the three groups except the patients younger than 30 years. The steroid-only group and immunosuppressant group received ICU treatment more frequently (p < 0.001), stayed longer in the hospital (p < 0.001), and showed higher medical expenditure (p < 0.001) compared to the normal group. Univariate and multivariate analyses revealed that age, male gender, comorbidities (especially malignancy), and ICU treatment had a significant effect on in-hospital mortality.
Conclusions Despite longer hospital length of stay and more frequent need for ICU care, the in-hospital mortality was lower in patients taking immunosuppressive drugs than in patients not taking immunosuppressive drugs.
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