In-hospital Mortality In Adults Research Articles

Comment on 'Early warning scores for sepsis identification and prediction of in-hospital mortality in adults with sepsis: A systematic review and meta-analysis'.

Comment on 'Early warning scores for sepsis identification and prediction of in-hospital mortality in adults with sepsis: A systematic review and meta-analysis'.

Early warning scores for sepsis identification and prediction of in-hospital mortality in adults with sepsis: A systematic review and meta-analysis.

The early warning scores (EWS), quick Sequential Organ Failure Assessment (qSOFA) and systemic inflammatory response syndrome (SIRS) criteria have been proposed as sepsis screening tools. This review aims to summarise and compare the performance of EWS with the qSOFA and SIRS criteria for predicting sepsis diagnosis and in-hospital mortality in patients with sepsis. A systematic review with meta-analysis. Seven databases were searched from January 1, 2016 until March 10, 2022. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Sensitivity, specificity, likelihood ratios and diagnostic odd ratios were pooled by using the bivariate random effects model. Overall performance was summarised by using the hierarchical summary receiver-operating characteristics curve. This paper adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines. Ten studies involving 52,474 subjects were included in the review. For predicting sepsis diagnosis, the pooled sensitivity of EWS (65%, 95% CI: 55, 75) was similar to SIRS ≥2 (70%, 95% CI: 49, 85) and higher than qSOFA ≥2 (37%, 95% CI: 20, 59). The pooled specificity of EWS (77%, 95% CI: 64, 86) was higher than SIRS ≥2 (62%, 95% CI: 41, 80) but lower than qSOFA ≥2 (94%, 95% CI: 86, 98). Results were similar for the secondary outcome of in-hospital mortality. Although no one scoring system had both high sensitivity and specificity, the EWS had at least equivalent values in most measures of diagnostic accuracy compared with SIRS or qSOFA. Healthcare systems in which EWS is already in place should consider whether there is any clinical benefit in adopting qSOFA or SIRS. This systematic review did not directly involve patient or public contribution to the manuscript.

Relationship of troponins with in-hospital mortality in adults with covid-19 in a colombian caribbean city: a nested case-control study

Background: myocardial injury, characterized by elevated cardiac troponin levels, is a common finding in severe COVID-19 cases, occurring in up to 38% of patients. It has been identified as an independent predictor of mortality. Objective: our aim is to assess the predictive value of cardiac troponin levels for in-hospital mortality among adults hospitalized with COVID-19 in Barranquilla, Colombia, during the period from January to June 2021. Methods: this study is a nested case-control analysis within a retrospective cohort. It encompasses individuals aged 18 and older with a confirmed diagnosis of COVID-19 who were hospitalized between January and June 2021 (n = 358). We describe the demographic and paraclinical characteristics of the patients and their association with outcomes at the time of discharge. We also estimate the diagnostic accuracy, including sensitivity, specificity, and predictive values, of elevated troponin levels in predicting in-hospital mortality. Results: patients with elevated troponin levels demonstrated a significantly increased risk of in-hospital mortality (OR: 9.4; 95% CI: 5.5-16.0; p < 0.05) and had a notably higher in-hospital mortality rate (55.6%) compared to those with non-elevated troponin levels (11.7%). The troponin biomarker exhibited a sensitivity of 77.9% and specificity of 72.7%, with positive and negative predictive values of 55.6% and 88.3%, respectively, for in-hospital mortality. Conclusion: troponin elevation in subjects with COVID-19 is positively related to in-hospital mortality, independently of other conditions such as age group, comorbidities, or oxygen therapy requirement.

Serum Krebs von den Lungen-6 is associated with in-Hospital mortality of patients with severe Community-Acquired Pneumonia: A retrospective cohort study

BackgroundCurrently, no ideal biomarker can accurately stratify the risk of patients with severe community-acquired pneumonia (SCAP). This study aimed to evaluate the role of serum Krebs von den Lungen-6 (sKL-6) in predicting in-hospital mortality in adults with SCAP. MethodsIn this retrospective cohort study, 249 severe pneumonia adult patients were recruited between 6 May 2021 to 30 April 2023 in Xiangya Hospital of Central South University. The sKL-6 level within 48 h of admission was measured, and the primary outcome assessed was in-hospital mortality. Multivariable logistic regression analysis was performed to calculate adjusted odds ratios (OR) with 95% confidence intervals (CI). Survival curves were plotted and subgroup analyses were conducted, stratified by relevant covariates. ResultsA total of 249 patients were included in the study,with 124 patients having normal sKL-6 levels, and 125 patients having abnormal sKL-6 levels. The overall in-hospital mortality rate was 28.9% (72 out of 249 patients). Univariate and multivariate logistic regression analysis revealed that the patients with abnormal sKL-6 levels had a higher risk of in-hospital mortality compared to those with normal sKL-6 levels, both in the total SCAP patient population (OR: 5.38, 95%CI: 2.41–12.01, P < 0.001) and the non-COVID-19 SCAP patients subgroup (OR: 8.12, 95%CI: 3.16–20.84, P < 0.001). Subgroup and interaction analyses confirmed the stability of the relationship between sKL-6 levels and in-hospital mortality(P for interaction > 0.05). Kaplan-Meier survival curves showed that patients with abnormal sKL-6 levels had a higher in-hospital mortality rate than those with normal sKL-6 levels (P < 0.05). However, the results of restricted cubic spline plots(RCS) analysis demonstrated a nonlinear association between sKL-6 levels (as a continuous variable) and in-hospital mortality in patients with SCAP. Similar results were observed in non-COVID-19 SCAP patients. Furthermore, the receiver operating characteristic curve (ROC) analysis revealed that sKL-6 had superior predictive performance compared to existing biomarkers (e.g., APACHE-II, SOFA, BUN/Cr, PCT, and D-dimer) for in-hospital mortality in non-COVID-19 SCAP patients. ConclusionsKL-6 is a practical and useful biomarker for predicting in-hospital mortality in patients with SCAP.

Protocol and statistical analysis plan for the mega randomised registry trial comparing conservative vs. liberal oxygenation targets in adults with sepsis in the intensive care unit (Mega-ROX Sepsis)

BackgroundThe effect of conservative vs. liberal oxygen therapy on 90-day in-hospital mortality in adults with sepsis receiving unplanned invasive mechanical ventilation in the intensive care unit (ICU) is uncertain. ObjectiveThe objective of this study was to summarise the protocol and statistical analysis plan for the Mega-ROX Sepsis trial. Design, setting, and participantsThe Mega-ROX Sepsis trial is an international randomised clinical trial that will be conducted within an overarching 40,000-patient registry-embedded clinical trial comparing conservative and liberal ICU oxygen therapy regimens. We anticipate that between 10,000 and 13,000 patients with sepsis who are receiving unplanned invasive mechanical ventilation in the ICU will be enrolled in this trial. Main outcome measuresThe primary outcome is in-hospital all-cause mortality up to 90 days from the date of randomisation. Secondary outcomes include duration of survival, duration of mechanical ventilation, ICU length of stay, hospital length of stay, and the proportion of patients discharged home. Results and conclusionsMega-ROX Sepsis will compare the effect of conservative vs. liberal oxygen therapy on 90-day in-hospital mortality in adults with sepsis who are receiving unplanned invasive mechanical ventilation in the ICU. The protocol and a prespecified approach to analyses are reported here to mitigate analysis bias.

Systematic Review and Meta-Analysis: Malnutrition and In-Hospital Death in Adults Hospitalized with COVID-19.

Malnutrition and increased malnutrition risk are frequently identified in hospitalized adults. The increase in hospitalization rates during the COVID-19 pandemic was accompanied by the documentation of adverse hospitalization outcomes in the presence of certain co-morbidities, including obesity and type 2 diabetes. It was not clear whether the presence of malnutrition increased in-hospital death in patients hospitalized with COVID-19. To estimate the effect of malnutrition on in-hospital mortality in adults hospitalized with COVID-19; and secondarily, to estimate the prevalence of malnutrition in adults hospitalized with malnutrition during the COVID-19 pandemic. EMBASE, MEDLINE, PubMed, Google Scholar, and Cochrane Collaboration databases were queried using the search terms malnutrition and COVID-19 and hospitalized adults and mortality. Studies were reviewed using the 14-question Quality Assessment Tool for Studies with Diverse Designs (QATSDD) (questions appropriate for quantitative studies). Author names; date of publication; country; sample size; malnutrition prevalence; malnutrition screening/diagnostic method; number of deaths in malnourished patients; and number of deaths in adequately nourished patients were extracted. Data were analyzed using MedCalc software v20.210 (Ostend, Belgium). The Q and I2 tests were calculated; a forest plot was generated, and the pooled odds ratio (OR) with 95% confidence intervals (95%CI) were calculated using the random effects model. Of the 90 studies identified, 12 were finally included in the meta-analysis. In the random effects model, malnutrition or increased malnutrition risk increased odds of in-hospital death by more than three-fold: OR 3.43 (95% CI 2.549-4.60), p < 0.001. The pooled prevalence estimate for malnutrition or increased malnutrition risk was 52.61% (95% CI 29.50-75.14%). It is clear that malnutrition is an ominous prognostic sign in patients hospitalized with COVID. This meta-analysis, which included studies from nine countries on four continents with data from 354,332 patients, is generalizable.

Protocol and statistical analysis plan for the mega randomised registry trial comparing conservative vs. liberal oxygenation targets in adults with nonhypoxic ischaemic acute brain injuries and conditions in the intensive care unit (Mega-ROX Brains)

BackgroundThe effect of conservative vs. liberal oxygen therapy on 90-day in-hospital mortality in adults who have nonhypoxic ischaemic encephalopathy acute brain injuries and conditions and are receiving invasive mechanical ventilation in the intensive care unit (ICU) is uncertain. ObjectiveThe objective of this study was to summarise the protocol and statistical analysis plan for the Mega-ROX Brains trial. Design, setting, and participantsMega-ROX Brains is an international randomised clinical trial, which will be conducted within an overarching 40,000-participant, registry-embedded clinical trial comparing conservative and liberal ICU oxygen therapy regimens. We expect to enrol between 7500 and 9500 participants with nonhypoxic ischaemic encephalopathy acute brain injuries and conditions who are receiving unplanned invasive mechanical ventilation in the ICU. Main outcome measuresThe primary outcome is in-hospital all-cause mortality up to 90 d from the date of randomisation. Secondary outcomes include duration of survival, duration of mechanical ventilation, ICU length of stay, hospital length of stay, and the proportion of participants discharged home. Results and conclusionsMega-ROX Brains will compare the effect of conservative vs. liberal oxygen therapy regimens on 90-day in-hospital mortality in adults in the ICU with acute brain injuries and conditions. The protocol and planned analyses are reported here to mitigate analysis bias. Trial RegistrationAustralian and New Zealand Clinical Trials Registry (ACTRN 12620000391976).

Impact of supplemental thiamin on lactate levels in adults with septic shock.

Elevated lactate levels at 24 h are highly predictive of in-hospital mortality in adults with septic shock. Thiamin is closely involved in carbohydrate metabolism, and in thiamin-deficient states, increased lactic acid levels can be found, exacerbated by critical illness. This integrative literature review focused on the relationship between supplemental thiamin, lactate clearance, and impact on mortality in sepsis. A search in PubMed, Embase, and CINAHL was conducted for literature published between January 2016 and January 2021. We included observational studies and clinical trials with ≥10 participants. We excluded studies involving pediatric (<18 years old) populations, animal studies, case studies, dropout rate of >20%, nonhospitalized patients, or patients receiving comfort measures only. A total of 48 full-text articles were assessed for eligibility, with 15 evaluated for this integrative review. Included were five retrospective, two prospective observational, and eight randomized controlled trials. In almost all retrospective studies, thiamin administration was associated with decreased mortality, and in observational studies, with decreased lactate and improved clinical outcomes. In clinical trials, thiamin with or without vitamin C/hydrocortisone did not impact clinical outcomes or mortality. However, four trials testing intravenous thiamin 200-500 mg two to three times daily for up to 3 days reported improved lactate clearance. Thiamin supplementation may improve lactate clearance when administered in the first 24 h. Those deficient in thiamin may benefit more from supplementation. The combination of thiamin, vitamin C, and/or hydrocortisone may not be advantageous. Lactate reduction in response to thiamin needs further rigorous research.

Retrospective External Validation of the Status Epilepticus Severity Score (STESS) to Predict In-hospital Mortality in Adults with Nonhypoxic Status Epilepticus: A Machine Learning Analysis.

The objective of this study was to validate the value of the Status Epilepticus Severity Score (STESS) in the prediction of the risk of in-hospital mortality in patients with nonhypoxic status epilepticus (SE) using a machine learning analysis. We included consecutive patients with nonhypoxic SE (aged ≥ 16years) admitted from 2013 to 2021 at the Modena Academic Hospital. A decision tree analysis was performed using in-hospital mortality as a dependent variable and the STESS predictors as input variables. We evaluated the accuracy of STESS in predicting in-hospital mortality using the area under the receiver operating characteristic curve (AUROC) with 95% confidence interval (CI). Among 629 patients with SE, the in-hospital mortality rate was 23.4% (147 of 629). The median STESS in the entire cohort was 2.9 (SD 1.6); it was lower in surviving compared with deceased patients (2.7, SD 1.5 versus 3.9, SD 1.6; p < 0.001). Of deceased patients, 82.3% (121 of 147) had scores of 3-6, whereas 17.7% (26 of 147) had scores of 0-2 (p < 0.001). STESS was accurate in predicting mortality, with an AUROC of 0.688 (95% CI 0.641-0.734) only slightly reduced after bootstrap resampling. The most significant predictor was the seizure type, followed by age and level of consciousness at SE onset. Nonconvulsive SE in coma and age ≥ 65years predicted a higher risk of mortality, whereas generalized convulsive SE and age < 65years were associated with a lower risk of death. The decision tree analysis using STESS variables correctly classified 90% of survivors and 34% of nonsurvivors after the SE, with an overall risk of error of 23.1%. This validation study using a machine learning system showed that STESS is a valuable prognostic tool. The score appears particularly accurate and effective in identifying patients who are alive at discharge (high negative predictive value), whereas it has a lower predictive value for in-hospital mortality.

Reasons for hospitalization and in-hospital mortality in adults with systemic sclerosis: Analysis of the National Inpatient Sample.

Systemic sclerosis is an autoimmune condition with significant morbidity and mortality despite modern medical therapies. The goal of this investigation was to comprehensively analyze all reasons for hospitalization and in-hospital death of systemic sclerosis patients. We conducted a retrospective analysis of the adult systemic sclerosis hospitalizations from the 2016-2018 National Inpatient Sample. We included patients with a primary or secondary diagnosis of systemic sclerosis and compared them to the group without the disease. The incidence of inpatient death and total hospitalization charges were recorded along with the most frequent principal diagnoses for systemic sclerosis hospitalizations and mortality categorized into subgroups. There were 94,515 adult systemic sclerosis hospitalizations recorded in the 2016-2018 National Inpatient Sample database. Systemic sclerosis patients had higher inpatient mortality compared to the non-systemic sclerosis group (4.5% vs 2.2%, respectively, p < 0.0001), were more likely to be female (84% vs 58%, p < 0.0001), had a longer mean length of stay (6.1 vs 4.7 days, p < 0.0001), and greater mean total hospital charges ($70,018 vs $53,556, p < 0.0001). Sepsis, unspecified organism (A41.9) was the most common principal diagnosis for both hospitalized and deceased systemic sclerosis patients. Cardiovascular diagnoses (21.9%) were the most common reasons for hospitalization and infectious (28%)-for in-hospital death. Our analysis of the National Inpatient Sample database from 2016 to 2018 showed that infections and cardiovascular diseases were a significant cause of morbidity and mortality among hospitalized systemic sclerosis patients. Sepsis was the most frequent specific diagnosis for both hospitalization and inpatient deaths. These results stress the importance of early recognition of life-threatening infections in this patient population.

Comparison of scoring tools EMSE and STESS for the prediction of in-hospital mortality in convulsive status epilepticus in adults and the elderly

Aim: The aim of this study was to compare the predictive accuracy of the Status Epilepticus Severity Score (STESS) and the Epidemiology-based Mortality Score in Status Epilepticus—etiology, age, and levels of consciousness (EMSE-EAL) score for in-hospital mortality in adults and the elderly with CSE.&#x0D; Methods: We conducted a hospital-based cross-sectional study. A total of 193 participants with a diagnosis of CSE were enrolled in the study. The means area under the receiver operating characteristic curve (AUC) was compared to distinguish between the score performances.&#x0D; Results: The average age of the respondents was 46.15 ± 20.25 years; 138 (69.8%) of them were adults, and 55 (30.2%) were elderly. In our study, in-hospital mortality was 30 (15.5%). In adults, on comparison STESS with the cutoff value of ≥3 has an AUC of 0.712 (95 percent CI =0.60–0.83), whereas ESME-EAL with the cutoff value of ≥40 has an AUC of 0.912 (95 percent CI =0.86–0.97), and in the elderly, STESS has an AUC of 0.613 (95 percent CI =0.43–0.80), and ESME-EAL has AUC of 0.848 (95% CI =0.74–0.80).&#x0D; Conclusions: The EMSE-EAL-40 score is superior to the STESS-3 for predicting in-hospital mortality in both adults and the elderly with CSE. EMSE-EAL can be easily applied in resource-poor sectors with constrained diagnostic facilities.

A comparison of accuracy of modified early warning score(MEWS), national early warning score(NEWS)and rapid emergency medicine score(REMS) in predicting length of hospital stay and in-hospital mortality in adults presenting to emergency department

Objective: The National Early Warning Score (NEWS) is a system used in many hospitals in the United Kingdom. This study compares the accuracy of NEWS, the Modified Early Warning Score (MEWS) and the Rapid Emergency Medicine Score (REMS) in predicting in-hospital length of stay (LOS) mortality in patients presenting to the emergency department (ED). Methods: A prospective, observational cohort study was conducted in a tertiary care hospital in Pakistan from October, 2014 to December, 2014 All patients ≥16 years were consecutively sampled over three months, presenting to the ED who met the inclusion criteria. Observations were recorded at triage. NEWS, MEWS and REMS were categorized into low, medium and high for regression analysis and compared using receiver operating curve (ROC) analysis. A multivariable logistic regression (MLR) model was used to identify factors associated with LOS and in-hospital mortality. Results: In total, 4032 patients were recruited (mean age, 47 ± 17 years); 52% were male. In-hospital mortality was 5%, mean ED and hospital LOS were 0.15 ± 0.36 days and 1.86 ± 4.26 days, respectively. ROC for in-hospital mortality and LOS for NEWS, REMS, and MEWS were 0.79, 0.72, 0.64 and 0.61, 0.59, and 0.53, respectively. Mortality and LOS increased with increasing early warning scores. Medium and high NEWS had a strong association with mortality and LOS, respectively. Age, LOS, medium, and high NEWS were associated with mortality on MLR. Conclusion: NEWS was a superior scale in predicting LOS and in-hospital mortality in patients presenting to ED as compared to REMS and MEWS.

Frailty and In-Hospital Mortality Risk Using EHR Nursing Data.

PurposeThe purpose of this study was to evaluate four definitions of a Frailty Risk Score (FRS) derived from EHR data that includes combinations of biopsychosocial risk factors using nursing flowsheet data or International Classification of Disease, 10th revision (ICD-10) codes and blood biomarkers and its predictive properties for in-hospital mortality in adults ≥50years admitted to medical-surgical units. Methods In this retrospective observational study and secondary analysis of an EHR dataset, survival analysis and Cox regression models were performed with sociodemographic and clinical covariates. Integrated area under the ROC curve (iAUC) across follow-up time based on Cox modeling was estimated. Results The 46,645 patients averaged 1.5 hospitalizations (SD = 1.1) over the study period and 63.3% were emergent admissions. The average age was 70.4years (SD = 11.4), 55.3% were female, 73.0% were non-Hispanic White (73.0%), mean comorbidity score was 3.9 (SD = 2.9), 80.5% were taking 1.5 high risk medications, and 42% recorded polypharmacy. The best performing FRS-NF-26-LABS included nursing flowsheet data and blood biomarkers (Adj. HR = 1.30, 95% CI [1.28, 1.33]), with good accuracy (iAUC = .794); the reduced model with age, sex, and FRS only demonstrated similar accuracy. The poorest performance was the ICD-10 code-based FRS. Conclusion The FRS captures information about the patient that increases risk for in-hospital mortality not accounted for by other factors. Identification of frailty enables providers to enhance various aspects of care, including increased monitoring, applying more intensive, individualized resources, and initiating more informed discussions about treatments and discharge planning.

Development and Validation of a Simple-to-Use Nomogram for Predicting In-Hospital Mortality in Patients With Acute Heart Failure Undergoing Continuous Renal Replacement Therapy.

Background: Patients with acute heart failure (AHF) who require continuous renal replacement therapy (CRRT) have a high risk of in-hospital mortality. It is clinically important to screen high-risk patients using a model or scoring system. This study aimed to develop and validate a simple-to-use nomogram consisting of independent prognostic variables for the prediction of in-hospital mortality in patients with AHF undergoing CRRT.Methods: We collected clinical data for 121 patients with a diagnosis of AHF who underwent CRRT in an AHF unit between September 2011 and August 2020 and from 105 patients in the medical information mart for intensive care III (MIMIC-III) database. The nomogram model was created using a visual processing logistic regression model and verified using the standard method.Results: Patient age, days after admission, lactic acid level, blood glucose concentration, and diastolic blood pressure were the significant prognostic factors in the logistic regression analyses and were included in our model (named D-GLAD) as predictors. The resulting model containing the above-mentioned five factors had good discrimination ability in both the training group (C-index, 0.829) and the validation group (C-index, 0.740). The calibration and clinical effectiveness showed the nomogram to be accurate for the prediction of in-hospital mortality in both the training and validation cohort when compared with other models. The in-hospital mortality rates in the low-risk, moderate-risk, and high-risk groups were 14.46, 40.74, and 71.91%, respectively.Conclusion: The nomogram allowed the optimal prediction of in-hospital mortality in adults with AHF undergoing CRRT. Using this simple-to-use model, the in-hospital mortality risk can be determined for an individual patient and could be useful for the early identification of high-risk patients. An online version of the D-GLAD model can be accessed at https://ahfcrrt-d-glad.shinyapps.io/DynNomapp/.Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT0751838.

Obesity, inflammatory and thrombotic markers, and major clinical outcomes in critically ill patients with COVID-19 in the US.

This study aimed to determine whether obesity is independently associated with major adverse clinical outcomes and inflammatory and thrombotic markers in critically ill patients with COVID-19. The primary outcome was in-hospital mortality in adults with COVID-19 admitted to intensive care units across the US. Secondary outcomes were acute respiratory distress syndrome (ARDS), acute kidney injury requiring renal replacement therapy (AKI-RRT), thrombotic events, and seven blood markers of inflammation and thrombosis. Unadjusted and multivariable-adjusted models were used. Among the 4,908 study patients, mean (SD) age was 60.9 (14.7) years, 3,095 (62.8%) were male, and 2,552 (52.0%) had obesity. In multivariable models, BMI was not associated with mortality. Higher BMI beginning at 25 kg/m2 was associated with a greater risk of ARDS and AKI-RRT but not thrombosis. There was no clinically significant association between BMI and inflammatory or thrombotic markers. In critically ill patients with COVID-19, higher BMI was not associated with death or thrombotic events but was associated with a greater risk of ARDS and AKI-RRT. The lack of an association between BMI and circulating biomarkers calls into question the paradigm that obesity contributes to poor outcomes in critically ill patients with COVID-19 by upregulating systemic inflammatory and prothrombotic pathways.

Reasons for Hospitalization and In-Hospital Mortality in Adults With Dermatomyositis and Polymyositis.

Dermatomyositis (DM) and polymyositis (PM) are systemic autoimmune diseases that have been associated with high in-hospital mortality (IHM). The aim of this study was to use the National Inpatient Sample (NIS), a large US population database, to determine the reasons for hospitalization and IHM in patients with DM and PM. We conducted a medical records review of adult DM/PM hospitalizations in 2016 and 2017 in acute care hospitals across the United States using the NIS. The reasons for IHM and reasons for hospitalization were divided into 19 broad categories based on their principal International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10) diagnosis. A total of 27,140 hospitalizations carried either a principal or secondary ICD-10 code for DM or PM. The main reasons for hospitalization were rheumatologic (22%, n = 6085), cardiovascular (15%, n = 3945), infectious (13%, n = 3515), respiratory (12%, n = 3170), and gastrointestinal, (8%, n = 2150). A total of 3.5% of all patients experienced IHM. Infectious (34%, n = 325), respiratory (23%, n = 215), and cardiovascular (15%, n = 140) diagnoses were the most common reasons for IHM. Sepsis ICD-10 A41.9 was the most frequent specific principal diagnosis for both hospitalizations and IHM. Our analysis demonstrated that in the NIS the most common reasons for hospitalization in patients with DM/PM were rheumatologic diagnoses. However, IHM in these patients was most frequently from infectious diagnoses, highlighting the need for increased attention to infectious complications in these patients.

Does early bloodstream infection pose a significant risk of in-hospital mortality in adults with burns?

Bloodstream infections (BSI) are common in patients with major burns, but its effect on mortality remains controversial. This study was aimed to investigate if BSI is significant risk factor of mortality? This is a retrospective chart review study included 266 adult patients admitted to our burn center from 2000 to 2019. Age, sex, inhalation injuries, total burn surface area (TBSA), duration of stay in intensive care unit, BSI and mortality were variables studied. Fisher exact test, Mann-Whitney test and logistic regression was used for statistical analysis. There were 234 survivors and 32 non-survivors. Male was predominant. The overall incidence of BSI was 18.8%, and the overall crude mortality was 12%. Burns ≥30% TBSA and BSI were significant risk factors. A predictive function based on30% TBSA and BSI within 14 days after the onset of burns (BSI-14) was derived. The function has a sensitivity of 0.97, specificity of 0.42 and achieved a maximum Youden Index at functional value ≥0.05727. The mortality probability of BSI-14 in burns ≥30% TBSA was 40.8%. BSI and burns ≥30% TBSA were significant risk factors of mortality. Early detection of BSI-14 is critical in burn care as its probability of mortality can be as high as 40% in patients ≥30% TBSA of burns. To reduce the risk of mortality, early in ventilator withdrawal, invasive lines and tubes removal, and early grafting should be emphasized besides infection control and appropriate use of antibiotics.

Leucocytosis and early organ involvement as risk factors of mortality in adults with dengue fever.

The clinical profile and risk factors for mortality in dengue fever have evolved over the years. The all-cause mortality in admitted dengue patients is around 6%. We aimed to evaluate the recent change in trends of the clinical characteristics and risk factors for in-hospital mortality in adults with dengue fever. This is a retrospective study on adults with confirmed dengue fever admitted in a medical unit of a tertiary care center in North India. Medical records of confirmed dengue fever patients admitted between January 2011, and December 2016 were reviewed. Chi-squared tests with Bonferroni correction for multiple testing were used to identify risk factors for mortality. 232 records were included, of which 66.8% were males. The mean age was 31.6 ± 14 years. There were 17 deaths with an all-cause mortality rate of 7.3% with 76.5% being classified as severe dengue at admission. Among the 17 mortality cases, dyspnea (47%), tachypnea (86.7%), leucocytosis (58.8%), raised urea (80%), and elevated serum creatinine (52.9%) at presentation were significantly associated with mortality (p < 0.001). Shock at any time during the hospital stay (58.8%) was also found to be significantly associated with mortality (p < 0.001). We found that dyspnea, tachypnea, acute kidney injury, and leucocytosis at presentation was significantly associated with in-hospital mortality. Based on our results, we recommend aggressive management of patients with severe dengue and those with mild/moderate disease with the above risk factors.

Predicting Inpatient Mortality Among Encephalitis Patients: A Novel Admission Risk Score.

BackgroundIdentifying underlying commonalities among all-cause encephalitis cases can be extraordinarily useful in predicting meaningful risk factors associated with inpatient mortality.MethodsA retrospective cohort of patients with encephalitis was derived from a clinical chart review of adult patients (age ≥18 years) across 16 different hospitals in Houston, Texas, between January 2005 and July 2015. Clinical features at admission were assessed for their correlation with inpatient mortality and used to derive a final risk score prediction tool.ResultsThe study included a total of 273 adult patients with all-cause encephalitis, 27 (9.9%) of whom died during hospitalization. A limited number of clinical features were substantially different between patients who survived and those who died (Charlson score, Glasgow coma scale [GCS], immunosuppression, fever on admission, multiple serologic studies, and abnormal imaging). A final multivariable logistic model was derived with the following risk factors, which were transformed into a scoring system: 1 point was assigned to the presence of a Charlson score >2, thrombocytopenia, or cerebral edema, and 2 points for a GCS value <8. Patients were then classified into different risk groups for inpatient mortality: 0 points (0%), 1 point (7%), 2 points (10.9%), 3 points (36.8%), and ≥4 points (81.8%).ConclusionsThe risk score developed from this study shows a high predictive value. This can be highly beneficial in alerting care providers to key clinical risk factors associated with in-hospital mortality in adults with encephalitis.

Risk Factors for the Development of Hospital-Associated Venous Thromboembolism in Adult Patients Admitted to a Children's Hospital.

Hospital-associated venous thromboembolism (HA-VTE) is a leading cause of preventable in-hospital mortality in adults. Our objective was to describe HA-VTE and evaluate risk factors for its development in adults admitted to a children's hospital, which has not been previously studied. We also evaluated the performance of commonly used risk assessment tools for HA-VTE. A case-control study was performed at a freestanding children's hospital. Cases of HA-VTE in patients ≥18 years old (2013-2017) and age-matched controls were identified. We extracted patient and HA-VTE characteristics and HA-VTE risk factors on the basis of previous literature. Thrombosis risk assessment was performed retrospectively by using established prospective adult tools (Caprini and Padua scores). Thirty-nine cases and 78 controls were identified. Upper extremities were the most common site of thrombosis (62%). Comorbid conditions were common (91.5%), and malignancy was more common among case patients than controls (P = .04). The presence of a central venous catheter (P < .01), longer length of stay (P < .01), ICU admission (P = .005), and previous admission within 30 days (P = .01) were more common among case patients when compared with controls. Median Caprini score was higher for case patients (P < .01), whereas median Padua score was similar between groups (P = .08). HA-VTE in adults admitted to children's hospitals is an important consideration in a growing high-risk patient population. HA-VTE characteristics in our study were more similar to published data in pediatrics.