The association between plasma osmolality and in-hospital mortality in the first 24 h after neonatal intensive care unit admission
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PROVIDER: S-EPMC10522910 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
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Project description:BackgroundHypoxia and hypercapnia due to acute pulmonary failure in patients with coronavirus disease 2019 (COVID-19) can increase the intracranial pressure (ICP). ICP correlated with the optic nerve sheath diameter (ONSD) on ultrasonography and is associated with a poor prognosis.AimWe investigated the capability of ONSD measured during admission to the intensive care unit (ICU) in patients with critical COVID-19 in predicting in-hospital mortality.MethodsA total of 91 patients enrolled in the study were divided into two groups: survivor (n = 48) and nonsurvivor (n = 43) groups. ONSD was measured by ultrasonography within the first 3 h of ICU admission.ResultsThe median ONSD was higher in the nonsurvivor group than in the survivor group (5.95 mm vs. 4.15 mm, p < 0.001). The multivariate Cox proportional hazard regression analysis between ONSD and in-hospital mortality (contains 26 covariates) was significant (adjusted hazard ratio, 4.12; 95% confidence interval, 1.46-11.55; p = 0.007). The ONSD cutoff for predicting mortality during ICU admission was 5 mm (area under the curve, 0.985; sensitivity, 98%; and specificity, 90%). The median survival of patients with ONSD >5 mm (43%; n = 39) was lower than those with ONSD ≤ 5 mm (57%; n = 52) (11.5 days vs 13.2 days; log-rank test p = 0.001).ConclusionsONSD ultrasonography during ICU admission may be an important, cheap, and easy-to-apply method that can be used to predict mortality in the early period in patients with critical COVID-19.
| S-EPMC9619847 | biostudies-literature
Project description:BackgroundWe aimed to develop and validate models for predicting intensive care unit (ICU) mortality of critically ill adult patients as early as upon ICU admission.MethodsCombined data of 79,657 admissions from two teaching hospitals' ICU databases were used to train and validate the machine learning models to predict ICU mortality upon ICU admission and at 24 h after ICU admission by using logistic regression, gradient boosted trees (GBT), and deep learning algorithms.ResultsIn the testing dataset for the admission models, the ICU mortality rate was 7%, and 38.4% of patients were discharged alive or dead within 1 day of ICU admission. The area under the receiver operating characteristic curve (0.856, 95% CI 0.845-0.867) and area under the precision-recall curve (0.331, 95% CI 0.323-0.339) were the highest for the admission GBT model. The ICU mortality rate was 17.4% in the 24-hour testing dataset, and the performance was the highest for the 24-hour GBT model.ConclusionThe ADM models can provide crucial information on ICU mortality as early as upon ICU admission. 24 H models can be used to improve the prediction of ICU mortality for patients discharged more than 1 day after ICU admission.
| S-EPMC11656927 | biostudies-literature
Project description: Not available
| S-EPMC3359892 | biostudies-literature
Project description:BackgroundA plasma glutamine concentration outside the normal range at Intensive Care Unit (ICU) admission has been reported to be associated with an increased mortality rate. Whereas hypoglutaminemia has been frequently reported, the number of patients with hyperglutaminemia has so far been quite few. Therefore, the association between hyperglutaminemia and mortality outcomes was studied in a prospective, observational study.Patients and methodsConsecutive admissions to a mixed general ICU were eligible. Exclusion criteria were < 18 years of age, readmissions, no informed consent, or a 'do not resuscitate' order at admission. A blood sample was saved within one hour from admission to be analysed by high-pressure liquid chromatography for glutamine concentration. Conventional risk scoring (Simplified Acute Physiology Score and Sequential Organ Failure Assessment) at admission, and mortality outcomes were recorded for all included patients.ResultsOut of 269 included patients, 26 were hyperglutaminemic (≥ 930 µmol/L) at admission. The six-month mortality rate for this subgroup was 46%, compared to 18% for patients with a plasma glutamine concentration < 930 µmol/L (P = 0.002). A regression analysis showed that hyperglutaminemia was an independent mortality predictor that added prediction value to conventional admission risk scoring and age.ConclusionHyperglutaminemia in critical illness at ICU admission was an independent mortality predictor, often but not always, associated with an acute liver condition. The mechanism behind a plasma glutamine concentration outside normal range, as well as the prognostic value of repeated measurements of plasma glutamine during ICU stay, remains to be investigated.
| S-EPMC8265095 | biostudies-literature
Project description:IntroductionIt is well established that a premature birth increases the likelihood of developing anxiety during the postpartum period, and that the environment of the neonatal intensive care unit (NICU) might be a contributing factor. Mothers of earlier premature infants may experience these anxieties to a higher degree compared to mothers of later premature infants. The aim of this study was to explore the association between prematurity and postpartum-specific anxiety, and the relationship between postpartum-specific anxiety and stress in the NICU.Materials and methodsMothers (N = 237) of infants aged between birth and 12 months completed an online survey containing the Postpartum Specific Anxiety Scale - Research Short Form (PSAS-RSF) and the Parental Stressor Scale: Neonatal Intensive Care Unit (PSS:NICU). Structural equation modeling was used to analyze the relationship between gestational age and postpartum-specific anxiety, with one-way ANOVAs used to analyze this relationship with respect to categories of gestational age. Hierarchical regression models analyzed the relationship between postpartum-specific anxiety and stress in the NICU.ResultsFor the PSAS-RSF, Practical Infant Care Anxieties (p = 0.001), Maternal Competence and Attachment Anxieties (p = 0.033), and Infant Safety and Welfare Anxieties (p = 0.020) were significantly associated with week of gestation. Practical Infant Care and Infant Safety and Welfare Anxieties were significantly higher for mothers of late premature infants, compared to mothers of term infants (p < 0.001; p = 0.019). There were no significant between-group differences with respect to Maternal Competence and Attachment Anxieties. After controlling for potential confounders, Infant Safety and Welfare Anxieties were significantly associated with increased stress in the NICU (p < 0.001) as measured by the PSS:NICU.ConclusionsOur findings highlight the need for interventions for mothers with premature infants, which specifically target anxieties reflected in the PSAS-RSF, such as routine care and increasing maternal self-efficacy.
| S-EPMC10921229 | biostudies-literature
Project description:Objectives: Plasma osmolarity is a common marker used for evaluating the balance of fluid and electrolyte in clinical practice, and it has been proven to be related to prognosis of many diseases. The purpose of this study was to identify the association between plasma osmolarity and in-hospital mortality in cardiac intensive care unit (CICU) patients. Method: All of the patients were divided into seven groups stratified by plasma osmolarity, and the group with 290-300 mmol/L osmolarity was used as a reference group. Primary outcome was in-hospital mortality. The local weighted regression (Lowess) smoothing curve was drawn to determine the "U"-shaped relationship between plasma osmolarity and in-hospital mortality. Binary logistic regression analysis was performed to determine the effect of plasma osmolarity on the risk of in-hospital mortality. Result: Overall, 7,060 CICU patients were enrolled. A "U"-shaped relationship between plasma osmolarity and in-hospital mortality was observed using the Lowess smoothing curve. The lowest in-hospital mortality (7.2%) was observed in the reference group. whereas hyposmolarity (<280 mmol/L vs. 290-300 mmol/L: 13.0 vs. 7.2%) and hyperosmolarity (≥330 mmol/L vs. 290-300 mmol/L: 31.6 vs. 7.2%) had higher in-hospital mortality. After adjusting for possible confounding variables with binary logistic regression analysis, both hyposmolarity (<280 mmol/L vs. 290-300 mmol/L: OR, 95% CI: 1.76, 1.08-2.85, P = 0.023) and hyperosmolarity (≥330 mmol/L vs. 290-300 mmol/L: OR, 95% CI: 1.65, 1.08-2.52, P = 0.021) were independently associated with an increased risk of in-hospital mortality. Moreover, lengths of CICU and hospital stays were prolonged in patients with hyposmolarity or hyperosmolarity. Conclusion: A "U"-shaped relationship between plasma osmolarity and in-hospital mortality was observed. Both hyposmolarity and hyperosmolarity were independently associated with the increased risk of in-hospital mortality.
| S-EPMC8282930 | biostudies-literature
Project description:Background/objectiveFew reports have directly compared the outcomes of patients with acute ischemic stroke (AIS) who are managed in a stroke care unit (SCU) with those who are managed in an intensive care units (ICU). This large database study in Japan aimed to compare in-hospital mortality between patients with AIS admitted into SCU and those admitted into ICU.MethodsPatients with AIS who were admitted between April 1, 2014, and March 31, 2019, were selected from the administrative database and divided into the SCU and ICU groups. We calculated the propensity score to match groups for which the admission unit assignment was independent of confounding factors, including the modified Rankin scale (mRS) score. The primary outcome was in-hospital mortality, and secondary outcomes were the mRS score at discharge, length of stay (LOS), and total hospitalization cost.ResultsOverall, 8,683 patients were included, and 960 pairs were matched. After matching, the in-hospital mortality rates of the SCU and ICU groups were not significantly different (5.9% vs. 7.9%, P = 0.106). LOS was significantly shorter (SCU = 20.9 vs. ICU = 26.2 days, P < 0.001) and expenses were significantly lower in the SCU group than in the ICU group (SCU = 1,686,588 vs. ICU = 1,998,260 yen, P < 0.001). mRS scores (score of 1-3 or 4-6) at discharge were not significantly different after matching. Stratified analysis showed that the in-hospital mortality rate was lower in the ICU group than in the SCU group among patients who underwent thrombectomy.ConclusionsIn-hospital mortality was not significantly different between the ICU and SCU groups, with significantly lower costs and shorter LOS in the SCU group than in the ICU group.
| S-EPMC10641943 | biostudies-literature
Project description:ObjectiveTo compare the incidence of, and mortality after, intensive care unit (ICU) admission as well as the characteristics of critical illness in the multiple sclerosis (MS) population vs the general population.MethodsWe used population-based administrative data from the Canadian province of Manitoba for the period 1984 to 2010 and clinical data from 93% of admissions to provincial high-intensity adult ICUs. We identified 5,035 prevalent cases of MS and a cohort from the general population matched 5:1 on age, sex, and region of residence. We compared these populations using incidence rates and multivariable regression models adjusting for age, sex, comorbidity, and socioeconomic status.ResultsFrom January 2000 to October 2009, the age- and sex-standardized annual incidence of ICU admission among prevalent cohorts was 0.51% to 1.07% in the MS population and 0.34% to 0.51% in matched controls. The adjusted risk of ICU admission was higher for the MS population (hazard ratio 1.45; 95% confidence interval [CI] 1.19-1.75) than for matched controls. The MS population was more likely to be admitted for infection than the matched controls (odds ratio 1.82; 95% CI 1.10-1.32). Compared with the matched controls admitted to ICUs, 1-year mortality was higher in the MS population (relative risk 2.06; 95% CI 1.32-3.07) and was particularly elevated in patients with MS who were younger than 40 years (relative risk 3.77; 95% CI 1.45-8.11). Causes of death were MS (9.3%), infections (37.0%), and other causes (52.9%).ConclusionsCompared with the general population, the risk of ICU admission is higher in MS, and 1-year mortality after admission is higher. Greater attention to preventing infection and managing comorbidity is needed in the MS population.
| S-EPMC4118502 | biostudies-literature
Project description:Characterization of bacterial communities in a hospital NICU during a Serratia marcescens outbreak
| PRJNA432186 | ENA
Project description:BackgroundEthiopia witnessed an unprecedented decline in under-5 and neonatal mortalities since 2000. But, neonatal mortality still accounts for the largest proportion of under-five child mortality. Quality of service at hospitals may vary and determine the magnitude of neonatal mortality.ObjectiveTo assess the prevalence and associated factors of neonatal mortality among newborns Admitted to the Neonatal intensive care unit of Gandhi Memorial Hospital Addis Ababa, Ethiopia, 2019.MethodsInstitution-based cross-sectional study was conducted from November 1 to December 31, 2019. A sample of one in every 2 admitted patients was included in the study. our exclusion criterion was neonates who had no mothers or guardians and/or neonatal medical records incomplete for status at discharge. We used the Systematic random sampling technique to select the study participants. A pretested structured interviewer-administered questionnaire and a preliminary tested checklist were used to collect primary and secondary data respectively. Descriptive and summary statistics were performed. A binary logistic regression model was fitted and variables that had a P-value of < 0.05 in the multivariable model were considered statistically significant.ResultsA total of 570 neonates who have mothers were involved in the study giving a response rate of 98.8%. The prevalence of neonatal mortality was 7.7% (95% CI: 5.7, 9.8). Mothers' educational status (No education (AOR 3.37, CI 95%, 1.02-11.20), premature rupture of membrane (prolonged PROM) (AOR 5.59, CI 95%, 1.05-29.76), and birth weight less than 2500gm (AOR 3.23, CI 95%, 1.17-8.90) are the significant factors associated with neonatal mortality.ConclusionThe prevalence of neonatal mortality at Gandhi memorial hospital was generally high. As our finding revealed, neonates who are underweight and whose mothers have no formal education as well as have prolonged PROM have higher odds of neonatal mortality. Thus, clinicians, policymakers, and program managers should give special attention to neonates of none educated mothers, mothers with prolonged PROM, and neonates with low birth weight.
| S-EPMC9097131 | biostudies-literature