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Lactate is a frequently used biomarker in emergency departments (EDs), especially in critically ill patients. The aim of this study is to investigate the relationship between lactate and lactate clearance with in-hospital mortality in unselected ED patients.
Methods:
This study was carried out retrospectively in the ED of a tertiary hospital. Patients aged 18 years and older whose blood lactate level was obtained in the ED were included in the study. Patients whose lactate value did not have sufficient analytical accuracy, whose lactate value was recorded in the system 180 minutes after admission, who were admitted to the ED as cardiac arrest, and whose ED or hospital outcome was unknown were excluded from the study. According to the first measured lactate value, the patients were divided into three groups: < 2.0mmol/L, 2.0-3.9mmol/L, and ≥ 4.0mmol/L. Lactate clearance was calculated and recorded in patients with one-to-four hours between two lactate values.
Results:
During the five-year study period, a total of 1,070,406 patients were admitted to the ED, of which 114,438 (10.7%) received blood gas analysis. The median age of 81,449 patients included in the study was 58 years (IQR: 30, min: 18–max: 117) and 54.4% were female. The study found that non-trauma patients with a lactate level between 2.0-3.9mmol/L had a 2.5-times higher mortality risk, while those with a lactate level of ≥ 4.0mmol/L had a 20.8-times higher risk, compared to those with a lactate level < 2.0mmol/L. For trauma patients, the mortality risk was three-times higher for those with lactate levels between 2.0-3.9mmol/L and nine-times higher for those with a lactate level of ≥ 4.0mmol/L, compared to those with a lactate level < 2.0mmol/L. Among patients with a first measured lactate value ≥ 4.0mmol/L and a two-hour lactate clearance < 20%, the mortality rate was 19.7%. In addition, lactate, lactate clearance, and age were independent variables for mortality in this patient group.
Conclusion:
The lactate value in unselected patients in the ED is a biomarker that can be used to predict the prognosis of the patients. In addition, lactate, lactate clearance, and age are independent predictors of mortality.
This study aims to evaluate the predictive role of age-adjusted Charlson comorbidity index (ACCI) scores for in-hospital prognosis of severe fever in thrombocytopenia syndrome (SFTS) patients. A total of 192 patients diagnosed with SFTS were selected as the study subjects. Clinical data were retrospectively collected. Receiver operating characteristic curves were used to evaluate the diagnostic value of ACCI for the mortality of SFTS patients, and Cox regression models were used to assess the association between predictive factors and prognosis. The 192 SFTS patients were divided into two groups according to the clinical endpoints (survivors/non-survivors). The results showed that the mortality of the 192 hospitalized SFTS patients was 26.6%. The ACCI score of the survivor group was significantly lower than that of the non-survivor group. Multivariate Cox regression analysis showed that the increased ACCI score was a significant predictor of poor prognosis in SFTS. Kaplan–Meier survival analysis showed that SFTS patients with an ACCI >2.5 had shorter mean survival times, indicating a poor prognosis. Our findings suggest that ACCI, as an easy-to-use clinical indicator, may offer a simple and feasible approach for clinicians to determine the severity of SFTS.
Schizophrenia is associated with cardiovascular disease (CVD) risk, and patients with schizophrenia are more likely to receive suboptimal care for CVD. However, there is limited knowledge regarding in-hospital prognosis and quality of care for patients with schizophrenia hospitalized for heart failure (HF). This study sought to elucidate the association between schizophrenia and in-hospital mortality, as well as cardiovascular treatment in patients hospitalized with HF.
Methods
Using the nationwide cardiovascular registry data in Japan, a total of 704,193 patients hospitalized with HF from 2012 to 2019 were included and stratified by age: young age, > 18 to 45 years (n = 20,289); middle age, >45 to 65 years (n = 114,947); and old age, >65 to 85 years (n = 568,957). All and 30-day in-hospital mortality as well as prescription of cardiovascular medications were assessed. After multiple imputation for missing values, mixed-effect multivariable logistic regression analysis was performed using patient and hospital characteristics with hospital identifier as a variable with random effects.
Results
Patients with schizophrenia were more likely to experience prolonged hospital stays, and incur higher hospitalization costs. In-hospital mortality for non-elderly patients with schizophrenia was significantly worse than for those without schizophrenia: the mortality rate was 7.6% vs 3.5% and the adjusted odds ratio (OR) was 1.96 (95% confidence interval (CI): 1.24–3.10, P = 0.0037) in young adult patients; 6.2% vs 4.0% and 1.49 (95% CI: 1.17–1.88, P < 0.001) in middle-aged patients. Thirty-day in-hospital mortality was significantly worse in middle-aged patients: the mortality rate was 4.7% vs 3.0% and an adjusted OR was 1.40 (95% CI: 1.07–1.83, P = 0.012). In-hospital mortality in elderly patients did not differ between those with and without schizophrenia. Prescriptions of beta-blockers and angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers were significantly lower in patients with schizophrenia across all age groups.
Conclusion
Schizophrenia was identified as a risk factor for in-hospital mortality and reduced prescription of cardioprotective medications in non-elderly patients hospitalized with HF. These findings highlight the necessity for differentiated care and management of HF in patients with severe mental illnesses.
The general in-hospital mortality and interrelationship with delirium are vastly understudied. Therefore, this study aimed to assess the rates of in-hospital mortality and terminal delirium.
Method
In this prospective cohort study of 28,860 patients from 37 services including 718 in-hospital deaths, mortality rates and prevalence of terminal delirium were determined with simple logistic regressions and their respective odds ratios (ORs).
Results
Although overall in-hospital mortality was low (2.5%), substantial variance between services became apparent: Across intensive care services the rate was 10.8% with a 5.8-fold increased risk, across medical services rates were 4.4% and 2.4-fold, whereas at the opposite end, across surgical services rates were 0.7% and 87% reduction, respectively. The highest in-hospital mortality rate occurred on the palliative care services (27.3%, OR 19.45). The general prevalence of terminal delirium was 90.7% and ranged from 83.2% to 100%. Only across intensive care services (98.1%, OR 7.48), specifically medical intensive care (98.1%, OR 7.48) and regular medical services (95.8%, OR 4.12) rates of terminal delirium were increased. In contrast, across medical services (86.4%, OR 0.32) and in particular oncology (73.9%, OR 0.25), pulmonology (72%, OR 0.31) and cardiology (63.2%, OR 0.4) rates were decreased. For the remaining services, rates of terminal delirium were the same.
Significance of results
Although in-hospital mortality was low, the interrelationship with delirium was vast: most patients were delirious at the end of life. The implications of terminal delirium merit further studies.
Electroconvulsive therapy (ECT) remains irreplaceable in the treatment of several psychiatric conditions. However, evidence derived using data from a national database to support its safety is limited. The aim of this study was to investigate in-hospital mortality among patients with psychiatric conditions treated with and without ECT.
Methods
Using data from the Taiwan National Health Insurance Research Database from 1997 to 2013, we identified 828,899 inpatients with psychiatric conditions, among whom 0.19% (n = 1571) were treated with ECT.
Results
We found that ECT recipients were more frequently women, were younger and physically healthier, lived in more urbanized areas, were treated in medical centers, and had longer hospital stays. ECT recipients had lower odds of in-hospital mortality than did those who did not receive ECT. Moreover, no factor was identified as being able to predict mortality in patients who underwent ECT. Among all patients, ECT was not associated with in-hospital mortality after controlling for potential confounders.
Conclusion
ECT was indicated to be safe and did not increase the odds of in-hospital mortality. However, ECT appeared to be administered only on physically healthy but psychiatrically compromised patients, a pattern that is in opposition with the scientific evidence supporting its safety. Moreover, our data suggest that ECT is still used as a treatment of last resort in the era of modern psychiatry.
Hospital palliative care has been shown to improve quality of life and optimize hospital utilization for seriously ill patients who need intensive care. The present review examined whether hospital palliative care in intensive care (ICU) and non-ICU settings will influence hospital length of stay and in-hospital mortality.
Method:
A systematic search of CINAHL/EBSCO, the Cochrane Library, Google Scholar, MEDLINE/Ovid, PubMed, and the Web of Science through 12 October 2016 identified 16 studies that examined the effects of hospital palliative care and reported on hospital length of stay and in-hospital death. Random-effects pooled odds ratios and mean differences with corresponding 95% confidence intervals were estimated. Heterogeneity was measured by the I2 test. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was utilized to assess the overall quality of the evidence.
Results:
Of the reviewed 932 articles found in our search, we reviewed the full text of 76 eligible articles and excluded 60 of those, which resulted in a final total of 16 studies for analysis. Five studies were duplicated with regard to outcomes. A total of 18,330 and 9,452 patients were analyzed for hospital length of stay and in-hospital mortality from 11 and 10 studies, respectively. Hospital palliative care increased mean hospital length of stay by 0.19 days (pooled mean difference = 0.19; 95% confidence interval [CI95%] = –2.22–2.61 days; p = 0.87; I2 = 95.88%) and reduced in-hospital mortality by 34% (pooled odds ratio = 0.66; CI95% = 0.52–0.84; p < 0.01; I2 = 48.82%). The overall quality of evidence for both hospital length of stay and in-hospital mortality was rated as very low and low, respectively.
Significance of results:
Hospital palliative care was associated with a 34% reduction of in-hospital mortality but had no correlation with hospital length of stay.
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