Variation in risk-adjusted cardiac intensive care unit (CICU) length of stay and the association with in-hospital mortality: An analysis from the Critical Care Cardiology Trials Network (CCCTN) registry.

BACKGROUND: Previous studies have suggested that there is wide variability in cardiac intensive care unit (CICU) length of stay (LOS); however, these studies are limited by the absence of detailed risk assessment at the time of admission. Thus, we evaluated inter-hospital differences in CICU LOS, and the association between LOS and in-hospital mortality. METHODS: Using data from the Critical Care Cardiology Trials Network (CCCTN) registry, we included 22,862 admissions between 2017 and 2022 from 35 primarily tertiary and quaternary CICUs that captured consecutive admissions in annual 2-month snapshots. The primary analysis compared inter-hospital differences in CICU LOS, as well as the association between CICU LOS and all-cause in-hospital mortality using a Fine and Gray competing risk model. RESULTS: The overall median CICU LOS was 2.2 (1.1-4.8) days, and the median hospital LOS was 5.9 (2.8-12.3) days. Admissions in the longest tertile of LOS tended to be younger with higher rates of pre-existing comorbidities, and had higher Sequential Organ Failure Assessment (SOFA) scores, as well as higher rates of mechanical ventilation, intravenous vasopressor use, mechanical circulatory support, and renal replacement therapy. Unadjusted all-cause in-hospital mortality was 9.3%, 6.7%, and 13.4% in the lowest, intermediate, and highest CICU LOS tertiles. In a competing risk analysis, individual patient CICU LOS was correlated (r2 = 0.31) with a higher risk of 30-day in-hospital mortality. The relationship remained significant in admissions with heart failure, ST-elevation myocardial infarction and non-ST segment elevation myocardial infarction. CONCLUSIONS: In a large registry of academic CICUs, we observed significant variation in CICU LOS and report that LOS is independently associated with all-cause in-hospital mortality. These findings could potentially be used to improve CICU resource utilization planning and refine risk prognostication in critically ill cardiovascular patients.

Changes in Older Adult Trauma Quality When Evaluated Using Longer-Term Outcomes vs In-Hospital Mortality.

Importance: Lack of knowledge about longer-term outcomes remains a critical blind spot for trauma systems. Recent efforts have expanded trauma quality evaluation to include a broader array of postdischarge quality metrics. It remains unknown how such quality metrics should be used. Objective: To examine the utility of implementing recommended postdischarge quality metrics as a composite score and ascertain how composite score performance compares with that of in-hospital mortality for evaluating associations with hospital-level factors. Design, Setting, and Participants: This national hospital-level quality assessment evaluated hospital-level care quality using 100% Medicare fee-for-service claims of older adults (aged ≥65 years) hospitalized with primary diagnoses of trauma, hip fracture, and severe traumatic brain injury (TBI) between January 1, 2014, and December 31, 2015. Hospitals with annual volumes encompassing 10 or more of each diagnosis were included. The data analysis was performed between January 1, 2021, and December 31, 2022. Exposures: Reliability-adjusted quality metrics used to calculate composite scores included hospital-specific performance on mortality, readmission, and patients' average number of healthy days at home (HDAH) within 30, 90, and 365 days among older adults hospitalized with all forms of trauma, hip fracture, and severe TBI. Main Outcomes and Measures: Associations with hospital-level factors were compared using volume-weighted multivariable logistic regression. Results: A total of 573 554 older adults (mean [SD] age, 83.1 [8.3] years; 64.8% female; 35.2% male) from 1234 hospitals were included. All 27 reliability-adjusted postdischarge quality metrics significantly contributed to the composite score. The most important drivers were 30- and 90-day readmission, patients' average number of HDAH within 365 days, and 365-day mortality among all trauma patients. Associations with hospital-level factors revealed predominantly anticipated trends when older adult trauma quality was evaluated using composite scores (eg, worst performance was associated with decreased older adult trauma volume [odds ratio, 0.89; 95% CI, 0.88-0.90]). Results for in-hospital mortality showed inverted associations for each considered hospital-level factor and suggested that compared with nontrauma centers, level 1 trauma centers had a 17 times higher risk-adjusted odds of worst (highest quantile) vs best (lowest quintile) performance (odds ratio, 17.08; 95% CI, 16.17-18.05). Conclusions and Relevance: The study results challenge historical notions about the adequacy of in-hospital mortality as the single measure of older adult trauma quality and suggest that, when it comes to older adults, decisions about how quality is evaluated can profoundly alter understandings of what constitutes best practices for care. Composite scores appear to offer a promising means by which postdischarge quality metrics could be used.

A single-centred retrospective observational analysis on mortality trends during the COVID-19 pandemic.

BACKGROUND: South Africa experienced high mortality during the COVID-19 pandemic. Resources were limited, particularly at the district hospital (DH) level. Overwhelmed healthcare facilities and a lack of research at a primary care level made the management of patients with COVID-19 challenging. The objective of this study was to describe the in-hospital mortality trends among individuals with COVID-19 at a DH in South Africa. METHODS: Retrospective observational analysis of all adults who demised in hospital from COVID-19 between 01 March 2020 and 31 August 2021 at a DH in South Africa. Variables analysed included: background history, clinical presentation, investigations and management. RESULTS: Of the 328 participants who demised in hospital, 60.1% were female, 66.5% were older than 60 and 59.6% were of black African descent. Hypertension and diabetes mellitus were the most common comorbidities (61.3% and 47.6%, respectively). The most common symptoms were dyspnoea (83.8%) and cough (70.1%). 'Ground-glass' features on admission chest X-rays were visible in 90.0% of participants, and 82.8% had arterial oxygen saturations less than 95% on admission. Renal impairment was the most common complication present on admission (63.7%). The median duration of admission before death was four days (interquartile range [IQR]: 1.5-8). The overall crude fatality rate was 15.3%, with the highest crude fatality rate found in wave two (33.0%). CONCLUSION: Older participants with uncontrolled comorbidities were most likely to demise from COVID-19. Wave two (characterised by the 'Beta' variant) had the highest mortality rate.Contribution: This study provides insight into the risk factors associated with death in a resource-constrained environment.

Contemporary Trends in Acute Myocardial Infarction in the American Indian/Alaska Native U.S. Population, 2000 to 2018.

Coronary heart disease is disproportionately prevalent in the American Indian/Alaska Native (AI/AN) population. As care for acute myocardial infarction (AMI) continues to advance, equitable distribution and access for the AI/AN population is essential. Primary AMI hospitalizations for adults ≥18 years of age were identified from the Healthcare Cost and Utilization Project National Inpatient Sample from 2000 to 2018. Related co-morbidities, procedures of interest, and in-hospital mortality were also identified. These rates were stratified by race then trended over years using Poisson regression. Overall, 9,904,714 weighted hospitalizations for primary AMI were identified. From 2000 to 2018, AI/AN adults had relatively high rates of primary AMI hospitalization, second only to non-Hispanic (NH) White adults. The AMI rate increased from 14.0/1,000 to 16.1/1,000 among AI/AN adults, remaining higher than NH Black adults (12.1/1,000 to 13.0/1,000) and Hispanic adults (10.3/1,000 and 12.7/1,000) and becoming increasingly closer to NH White adults (25.1/1,000 to 20.0/1,000) (p <0.001 for each). AI/AN adults presented 5 years earlier than their NH White counterparts (64 vs 69 years old; p <0.001). In-hospital mortality was approximately 5% for all race categories and decreased in all groups but decreased at a much greater rate for NH White, NH Black and Hispanic adults (0.2% per year) compared with AI/AN adults (0.08% per year; p <0.001 for each comparison). Rates of coronary angiography and percutaneous coronary intervention increased in all groups, but coronary artery bypass graft utilization increased only in AI/AN adults (from 7% to 10%, p <0.001). In conclusion, from 2000 to 2018, AI/AN adults had a high rate of AMI hospitalizations (second only to NH White adults) that increased significantly over time. AI/AN adults were 5 years younger than their NH White counterparts at index AMI hospitalization. Care during these hospitalizations was similar among all racial groups, and in-hospital mortality decreased for all groups, albeit to a lesser degree among AI/AN adults. This study highlights the need for improved access to outpatient primary AMI prevention in the AI/AN population.

Is there a 'weekend effect' on mortality among hospitalised patients in an internal medicine ward? A retrospective study.

BACKGROUND: Previous studies demonstrated a 'weekend effect' and a 'night effect' of increased mortality among patients admitted during weekends or night shifts, presumably due to understaffing. AIMS: To examine whether death during hospitalisation follows a similar effect regardless of admission time. METHODS: A retrospective cohort study among deceased patients hospitalised in the internal medicine wing of a tertiary medical centre in Israel, between 2019 and 2020. Demographic and medical data were retrieved from electronic medical charts. Causes of death were specifically categorised. We applied statistical models to test for differences in mortality using incidence rate ratio (IRR) according to the day, time and cause of death. RESULTS: One thousand, two hundred and seventy-eight deceased patients were included. All-cause mortality was similar between weekends and weekdays. When sepsis was the cause of death, higher IRR were demonstrated on Fridays in comparison with weekdays (IRR 1.4; 95% confidence interval (CI) 1.1-1.9; P < 0.05). Other causes of death were not consistent with a 'weekend effect'. Mortality during night shifts was higher in comparison with the afternoon (IRR 1.5; 95% CI 1.3-4.7) and similar to the morning (IRR 1; 95% CI 0.9-1.2). CONCLUSION: Our study did not find a pattern of 'weekend effect' or 'night effect' on all-cause mortality among hospitalised patients in internal medicine wards. Our findings suggest that perhaps specifically death from sepsis, and not all-cause mortality, can be used as a surrogate for the measurement of understaffing or quality of care in the internal ward.

Changes in In-Hospital Survival and Long-Term Neurodevelopmental Outcomes of Extremely Preterm Infants: A Retrospective Study of a Japanese Tertiary Center.

OBJECTIVES: The objective of this study was to elucidate whether the survival and long-term neurodevelopmental outcomes of extremely preterm infants have improved in a Japanese tertiary center with an active treatment policy for infants born at 22-23 weeks of gestation. STUDY DESIGN: This single-centered retrospective cohort study enrolled extremely preterm infants treated at Saitama Medical Center, Saitama Medical University, from 2003 to 2014. Patients with major congenital abnormalities were excluded. Primary outcomes were in-hospital survival and severe neurodevelopmental impairment (NDI) at 6 years of age, which was defined as having severe cerebral palsy, severe cognitive impairment, severe visual impairment, or deafness. We assessed the changes in primary outcomes between the first (period 1; 2003-2008) and the second half (period 2; 2009-2014) of the study period and evaluated the association between birth-year and primary outcomes using multivariate logistic regression models. RESULTS: Of the 403 eligible patients, 340 (84%) survived to discharge. Among 248 patients available at 6 years of age, 43 (14%) were classified as having severe NDI. Between the 2 periods, in-hospital survival improved from 155 of 198 (78%) to 185 of 205 (90%), but severe NDI increased from 11 of 108 (10%) to 32 of 140 (23%). In multivariate logistic regression models adjusted for gestational age, birthweight, sex, singleton birth, and antenatal corticosteroids, the aOR (95% CI) of birth-year for in-hospital survival and severe NDI was 1.2 (1.1-1.3) and 1.1 (1.0-1.3), respectively. CONCLUSION: Mortality among extremely preterm infants has improved over the past 12 years; nevertheless, no significant improvement was observed in the long-term neurodevelopmental outcomes.

Boletim epidemiológico: perfil de mortalidade do Hospital de Urgências de Goiás - janeiro a março de 2023 / Epidemiological bulletin: mortality profile of the Emergency Hospital of Goiás - January to March 2023

Descreve o perfil epidemiológico de mortalidade do Hospital de Urgências de Goiás, bem como a avaliação das revisões de óbitos realizados no mesmo período pela comissão de óbito do hospital e investigações de óbitos. Trata-se de um estudo descritivo de abordagem quantitativa, realizado a partir do registro de óbitos e investigações de óbitos realizados pelo Núcleo Hospitalar de Epidemiologia do Hospital de Urgências de Goiás

It describes the epidemiological mortality profile of Hospital d Urgênciasde Goiás, as well as the evaluation of death reviews carried out in the same period by the hospital's death committee and death investigations. This is a descriptive study with a quantitative approach, carried out based on the registration of deaths and death investigations carried out by the Hospital Epidemiology Center of the Hospital de UrgÊncias de Goiás

Relatório de análise de mortalidade intra-hospitalar e suas causas em Moçambique, 2018 a 2021 / Report analysing in-hospital mortality and its causes in Mozambique, 2018 to 2021

O sistema de registo de mortes hospitalares é o centro do sistema de informação em saude compreende a captura de evento vital (morte), a sua enumeração em relatórios estatísticos, sua sistematização, consolidação e elaboração de estatísticas periódicas sobre o evento captado. A US é considerada fonte ideal para a obtenção de dados sobre mortalidade e suas causas pois é o local onde estas têm lugar. Esta informação pode ser utilizada para vigilâcia da mortalidade e prevenção em saude. Avaliações sistemáticas das estatísticas de mortalidade possibilitam a identificação do perfil epidemiológico, contribuindo assim para a tomada de decisão com vista à melhoria da saúde da população. É importante a apresentação de estatísticas de mortalidade por causas, pois são essenciais para avaliar o peso da doença e delinear medidas políticas e intervenções efectivas em saúde. Desde a pioneira análise dos registos paroquiais de Londres no século XVII, feita por Graunt, os registos de óbito vêm sendo usados na produção de estatísticas de mortalidade. As mortes podem ser analisadas quanto ao número e em relação a algumas variáveis, dentre outras, sexo, idade, local, tempo, entre outras, constituindo, entretanto, sua causa o aspecto mais importante. Examinando os níveis gerais de mortalidade institucional fornece uma visão geral da qualidade da prestação de serviços de saúde e do estado de saúde da população coberta. A desagregação por instalação ou região pode destacar epidemias em potencial ou atendimento não óptimo. Assim, no encontro proposto pretende-se analisar a mortalidade institucional com recurso a dados extraídos do módulo de gestão de dados hospitalares. Estes dados também alimentam o registo civil que por sua vez alimenta as estatísticas nacionais. Este relatório apresenta informação que pode auxiliar na avaliação da qualidade de dados sobre causas de morte atribuidas nas US do País. O relatório foi produzido com base nos dados do MGDH e Sistemade informaçao para monitoria e avaliação e abrange um período de quatro anos de 2018 a 2021...

Análisis de causas de muerte intrahospitalarias mal definidas e imprecisas / Analysis of ill-defined and imprecise in-hospital causes of death

Introducción: la información sobre las causas de muerte es de gran importancia tanto para los países como para las instituciones sanitarias, en la medida en que contribuye a la evaluación y el seguimiento del estado de salud de la población y a la planificación de intervenciones sanitarias. El objetivo del estudio fue evaluar la proporción de causas de muerte mal definidas e imprecisas y su relación con el día de la semana y período lectivo de médicos residentes en el Hospital Italiano de Buenos Aires (HIBA) durante 2020. Métodos: se realizó un estudio analítico de corte transversal a partir de certificados médicos de defunción de pacientes fallecidos en el ámbito intrahospitalario, evaluando las causas de muerte mal definidas (términos médicos que no aportan información desde el punto de vista clínico y epidemiológico) y las imprecisas (no resultan lo suficientemente específicas como para identificar entidades nosológicas que permitan establecer acciones de prevención y control). Resultados: se analizaron 1030 certificados de defunción, con una proporción de certificados con causa básica de muerte mal definida del 2,3% (n = 24), mientras que en el 17,4% (n = 180) fue imprecisa. No se hallaron diferencias entre la proporción de causas básicas mal definidas y las imprecisas según el día de la semana o período lectivo. Al extender el análisis a todas las causas (básicas, mediatas e inmediatas), la proporción de causas mal definidas fue del 1,6% (n = 40) y la de imprecisas del 51% (n = 1212). Conclusiones: los resultados definen al HIBA como un centro de mediana calidad estadística en el registro de causas de muerte. Se concluye que es necesario mejorarla, para lo que resulta de interés la creación de un plan de capacitación y entrenamiento de los médicos en el grado y el posgrado. (AU)

Introduction: information on causes of death is of great importance both for countries and for health institutions, as it contributes to the evaluation and monitoring of the health status of the population and to the planning of health interventions. The purpose of this study was to evaluate the proportion of ill-defined and imprecise causes of death and its relationship with the day of the week and academic calendar during 2020 at the Hospital Italiano de Buenos Aires. Methods: a cross-sectional study was carried out from data recorded in the death certificates of patients who died in the intrahospital setting, evaluating ill-defined causes of death (medical terms that do not provide clinical or epidemiological information) and imprecise ones (not specific enough to identify nosological entities susceptible to prevention or control). Results: 1030 death certificates were analyzed. The proportion of certificates with ill-defined underlying causes of death was 2.3% (n=24), while 17.4% (n=180) was imprecise. No significant differences were found between the ill-defined and imprecise underlying causes of death and the day of the week and academic calendar. When extending the analysis to all causes (underlying, intermediate, and immediate) the percentage of ill-defined causes was 1.6% (n=40) and 51% (n=1212) was imprecise. Conclusions: results define our hospital as of medium statistical quality on medical death certification. It is concluded that it is necessary to improve the quality of the registry, for which the creation of a training plan for undergraduate and graduate physicians is of interest. (AU)

Risk Stratification for Congenital Heart Surgery for ICD-10 Administrative Data (RACHS-2).

BACKGROUND: As the cardiac community strives to improve outcomes, accurate methods of risk stratification are imperative. Since adoption of International Classification of Disease-10th Revision (ICD-10) in 2015, there is no published method for congenital heart surgery risk stratification for administrative data. OBJECTIVES: This study sought to develop an empirically derived, publicly available Risk Stratification for Congenital Heart Surgery (RACHS-2) tool for ICD-10 administrative data. METHODS: The RACHS-2 stratification system was iteratively and empirically refined in a training dataset of Pediatric Health Information Systems claims to optimize sensitivity and specificity compared with corresponding locally held Society of Thoracic Surgeons-Congenital Heart Surgery (STS-CHS) clinical registry data. The tool was validated in a second administrative data source: New York State Medicaid claims. Logistic regression was used to compare the ability of RACHS-2 in administrative data to predict operative mortality vs STAT Mortality Categories in registry data. RESULTS: The RACHS-2 system captured 99.6% of total congenital heart surgery registry cases, with 1.0% false positives. RACHS-2 predicted operative mortality in both training and validation administrative datasets similarly to STAT Mortality Categories in registry data. C-statistics for models for operative mortality in training and validation administrative datasets-adjusted for RACHS-2-were 0.76 and 0.84 (95% CI: 0.72-0.80 and 0.80-0.89); C-statistics for models for operative mortality-adjusted for STAT Mortality Categories-in corresponding clinical registry data were 0.75 and 0.84 (95% CI: 0.71-0.79 and 0.79-0.89). CONCLUSIONS: RACHS-2 is a risk stratification system for pediatric cardiac surgery for ICD-10 administrative data, validated in 2 administrative-registry-linked datasets. Statistical code is publicly available upon request.

In-Hospital and 1-Year Mortality Trends in a National Cohort of US Veterans with Acute Kidney Injury.

BACKGROUND AND OBJECTIVES: AKI, a frequent complication among hospitalized patients, confers excess short- and long-term mortality. We sought to determine trends in in-hospital and 1-year mortality associated with AKI as defined by Kidney Disease Improving Global Outcomes consensus criteria. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This retrospective cohort study used data from the national Veterans Health Administration on all patients hospitalized from October 1, 2008 to September 31, 2017. AKI was defined by Kidney Disease Improving Global Outcomes serum creatinine criteria. In-hospital and 1-year mortality trends were analyzed in patients with and without AKI using Cox regression with year as a continuous variable. RESULTS: We identified 1,688,457 patients and 2,689,093 hospitalizations across the study period. Among patients with AKI, 6% died in hospital, and 28% died within 1 year. In contrast, in-hospital and 1-year mortality rates were 0.8% and 14%, respectively, among non-AKI hospitalizations. During the study period, there was a slight decline in crude in-hospital AKI-associated mortality (hazard ratio, 0.98 per year; 95% confidence interval, 0.98 to 0.99) that was attenuated after accounting for patient demographics, comorbid conditions, and acute hospitalization characteristics (adjusted hazard ratio, 0.99 per year; 95% confidence interval, 0.99 to 1.00). This stable temporal trend in mortality persisted at 1 year (adjusted hazard ratio, 1.00 per year; 95% confidence interval, 0.99 to 1.00). CONCLUSIONS: AKI associated mortality remains high, as greater than one in four patients with AKI died within 1 year of hospitalization. Over the past decade, there seems to have been no significant progress toward improving in-hospital or long-term AKI survivorship.

Comparison between pressure support ventilation and T-piece in spontaneous breathing trials.

BACKGROUND: Recent guidelines recommended conducting spontaneous breathing trial (SBT) with modest inspiratory pressure augmentation rather than T-piece or continuous positive airway pressure. However, it was based on few studies focused on the outcomes of extubation rather than the weaning process, despite the existence of various weaning situations in clinical practice. This study was designed to investigate the effects of SBT with pressure support ventilation (PSV) or T-piece on weaning outcomes. METHODS: All consecutive patients admitted to two medical intensive care units (ICUs) and those requiring mechanical ventilation (MV) for more than 24 h from November 1, 2017 to September 30, 2020 were prospectively registered. T-piece trial was used until March 2019, and then, pressure support of 8 cmH2O and 0 positive end-expiratory pressure were used for SBT since July 2019, after a 3-month transition period for the revised SBT protocol. The primary outcome of this study was successful weaning defined according to the WIND (Weaning according to a New Definition) definition and were compared between the T-piece group and PSV group. The association between the SBT method and weaning outcome was evaluated with logistic regression analysis. RESULTS: In this study, 787 eligible patients were divided into the T-piece (n = 473) and PSV (n = 314) groups after excluding patients for a 3-month transition period. Successful weaning was not different between the two groups (85.0% vs. 86.3%; p = 0.607). However, the PSV group had a higher proportion of short weaning (70.1% vs. 59.0%; p = 0.002) and lower proportion of difficult weaning (13.1% vs. 24.1%; p < 0.001) than the T-piece group. The proportion of prolonged weaning was similar between the two groups (16.9% vs. 16.9%; p = 0.990). After excluding patients who underwent tracheostomy before the SBTs, similar results were found. Reintubation rates at 48 h, 72 h, and 7 days following the planned extubation were not different between the PSV and T-piece groups. Moreover, no significant differences in intensive care unit and hospital mortality and length of stay were observed. CONCLUSIONS: In critically ill medical patients, SBT using PSV was not associated with a higher rate of successful weaning compared with SBT using T-piece. However, PSV could shorten the weaning process without increasing the risk of reintubation.

Time-Dependent Molecular Motifs of Pulmonary Fibrogenesis in COVID-19.

(1) Background: In COVID-19 survivors there is an increased prevalence of pulmonary fibrosis of which the underlying molecular mechanisms are poorly understood; (2) Methods: In this multicentric study, n = 12 patients who succumbed to COVID-19 due to progressive respiratory failure were assigned to an early and late group (death within ≤7 and >7 days of hospitalization, respectively) and compared to n = 11 healthy controls; mRNA and protein expression as well as biological pathway analysis were performed to gain insights into the evolution of pulmonary fibrogenesis in COVID-19; (3) Results: Median duration of hospitalization until death was 3 (IQR25-75, 3-3.75) and 14 (12.5-14) days in the early and late group, respectively. Fifty-eight out of 770 analyzed genes showed a significantly altered expression signature in COVID-19 compared to controls in a time-dependent manner. The entire study group showed an increased expression of BST2 and IL1R1, independent of hospitalization time. In the early group there was increased activity of inflammation-related genes and pathways, while fibrosis-related genes (particularly PDGFRB) and pathways dominated in the late group; (4) Conclusions: After the first week of hospitalization, there is a shift from pro-inflammatory to fibrogenic activity in severe COVID-19. IL1R1 and PDGFRB may serve as potential therapeutic targets in future studies.

Trends and Risk Factors of In-Hospital Mortality of Patients with COVID-19 in Germany: Results of a Large Nationwide Inpatient Sample.

Unselected data of nationwide studies of hospitalized patients with COVID-19 are still sparse, but these data are of outstanding interest to avoid exceeding hospital capacities and overloading national healthcare systems. Thus, we sought to analyze seasonal/regional trends, predictors of in-hospital case-fatality, and mechanical ventilation (MV) in patients with COVID-19 in Germany. We used the German nationwide inpatient samples to analyze all hospitalized patients with a confirmed COVID-19 diagnosis in Germany between 1 January and 31 December in 2020. We analyzed data of 176,137 hospitalizations of patients with confirmed COVID-19-infection. Among those, 31,607 (17.9%) died, whereby in-hospital case-fatality grew exponentially with age. Overall, age ≥ 70 years (OR 5.91, 95%CI 5.70-6.13, p < 0.001), pneumonia (OR 4.58, 95%CI 4.42-4.74, p < 0.001) and acute respiratory distress syndrome (OR 8.51, 95%CI 8.12-8.92, p < 0.001) were strong predictors of in-hospital death. Most COVID-19 patients were treated in hospitals in urban areas (n = 92,971) associated with the lowest case-fatality (17.5%), as compared to hospitals in suburban (18.3%) or rural areas (18.8%). MV demand was highest in November/December 2020 (32.3%, 20.3%) in patients between the 6th and 8th age decade. In the first age decade, 78 of 1861 children (4.2%) with COVID-19-infection were treated with MV, and five of them died (0.3%). The results of our study indicate seasonal and regional variations concerning the number of COVID-19 patients, necessity of MV, and case fatality in Germany. These findings may help to ensure the flexible allocation of intensive care (human) resources, which is essential for managing enormous societal challenges worldwide to avoid overloaded regional healthcare systems.

Hour-1 bundle adherence was associated with reduction of in-hospital mortality among patients with sepsis in Japan.

BACKGROUND: The updated Surviving Sepsis Campaign guidelines recommend a 1-hour window for completion of a sepsis care bundle; however, the effectiveness of the hour-1 bundle has not been fully evaluated. The present study aimed to evaluate the impact of hour-1 bundle completion on clinical outcomes in sepsis patients. METHODS: This was a multicenter, prospective, observational study conducted in 17 intensive care units in tertiary hospitals in Japan. We included all adult patients who were diagnosed as having sepsis by Sepsis-3 and admitted to intensive care units from July 2019 to August 2020. Impacts of hour-1 bundle adherence and delay of adherence on risk-adjusted in-hospital mortality were estimated by multivariable logistic regression analyses. RESULTS: The final study cohort included 178 patients with sepsis. Among them, 89 received bundle-adherent care. Completion rates of each component (measure lactate level, obtain blood cultures, administer broad-spectrum antibiotics, administer crystalloid, apply vasopressors) within 1 hour were 98.9%, 86.2%, 51.1%, 94.9%, and 69.1%, respectively. Completion rate of all components within 1 hour was 50%. In-hospital mortality was 18.0% in the patients with and 30.3% in the patients without bundle-adherent care (p = 0.054). The adjusted odds ratio of non-bundle-adherent versus bundle-adherent care for in-hospital mortality was 2.32 (95% CI 1.09-4.95) using propensity scoring. Non-adherence to obtaining blood cultures and administering broad-spectrum antibiotics within 1 hour was related to in-hospital mortality (2.65 [95% CI 1.25-5.62] and 4.81 [95% CI 1.38-16.72], respectively). The adjusted odds ratio for 1-hour delay in achieving hour-1 bundle components for in-hospital mortality was 1.28 (95% CI 1.04-1.57) by logistic regression analysis. CONCLUSION: Completion of the hour-1 bundle was associated with lower in-hospital mortality. Obtaining blood cultures and administering antibiotics within 1 hour may have been the components most contributing to decreased in-hospital mortality.

Utilization of Palliative Care for Patients with COVID-19 and Acute Kidney Injury during a COVID-19 Surge.

BACKGROUND AND OBJECTIVES: AKI is a common complication of coronavirus disease 2019 (COVID-19) and is associated with high mortality. Palliative care, a specialty that supports patients with serious illness, is valuable for these patients but is historically underutilized in AKI. The objectives of this paper are to describe the use of palliative care in patients with AKI and COVID-19 and their subsequent health care utilization. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We conducted a retrospective analysis of New York University Langone Health electronic health data of COVID-19 hospitalizations between March 2, 2020 and August 25, 2020. Regression models were used to examine characteristics associated with receiving a palliative care consult. RESULTS: Among patients with COVID-19 (n=4276; 40%), those with AKI (n=1310; 31%) were more likely than those without AKI (n=2966; 69%) to receive palliative care (AKI without KRT: adjusted odds ratio, 1.81; 95% confidence interval, 1.40 to 2.33; P<0.001; AKI with KRT: adjusted odds ratio, 2.45; 95% confidence interval, 1.52 to 3.97; P<0.001), even after controlling for markers of critical illness (admission to intensive care units, mechanical ventilation, or modified sequential organ failure assessment score); however, consults came significantly later (10 days from admission versus 5 days; P<0.001). Similarly, 66% of patients initiated on KRT received palliative care versus 37% (P<0.001) of those with AKI not receiving KRT, and timing was also later (12 days from admission versus 9 days; P=0.002). Despite greater use of palliative care, patients with AKI had a significantly longer length of stay, more intensive care unit admissions, and more use of mechanical ventilation. Those with AKI did have a higher frequency of discharges to inpatient hospice (6% versus 3%) and change in code status (34% versus 7%) than those without AKI. CONCLUSIONS: Palliative care was utilized more frequently for patients with AKI and COVID-19 than historically reported in AKI. Despite high mortality, consultation occurred late in the hospital course and was not associated with reduced initiation of life-sustaining interventions. PODCAST: This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2022_02_24_CJN11030821.mp3.

Obesity as a mortality risk factor in the medical ward: a case control study.

BACKGROUND: Research regarding the association between severe obesity and in-hospital mortality is inconsistent. We evaluated the impact of body mass index (BMI) levels on mortality in the medical wards. The analysis was performed separately before and during the COVID-19 pandemic. METHODS: We retrospectively retrieved data of adult patients admitted to the medical wards at the Mount Sinai Health System in New York City. The study was conducted between January 1, 2011, to March 23, 2021. Patients were divided into two sub-cohorts: pre-COVID-19 and during-COVID-19. Patients were then clustered into groups based on BMI ranges. A multivariate logistic regression analysis compared the mortality rate among the BMI groups, before and during the pandemic. RESULTS: Overall, 179,288 patients were admitted to the medical wards and had a recorded BMI measurement. 149,098 were admitted before the COVID-19 pandemic and 30,190 during the pandemic. Pre-pandemic, multivariate analysis showed a "J curve" between BMI and mortality. Severe obesity (BMI > 40) had an aOR of 0.8 (95% CI:0.7-1.0, p = 0.018) compared to the normal BMI group. In contrast, during the pandemic, the analysis showed a "U curve" between BMI and mortality. Severe obesity had an aOR of 1.7 (95% CI:1.3-2.4, p < 0.001) compared to the normal BMI group. CONCLUSIONS: Medical ward patients with severe obesity have a lower risk for mortality compared to patients with normal BMI. However, this does not apply during COVID-19, where obesity was a leading risk factor for mortality in the medical wards. It is important for the internal medicine physician to understand the intricacies of the association between obesity and medical ward mortality.

Lower rates of endoscopy and higher mortality in end-stage renal disease patients with gastrointestinal bleeding: A propensity matched national study.

BACKGROUND AND AIM: Patients with end-stage renal disease (ESRD) on hemodialysis are considered to be at higher risk of gastrointestinal bleeding (GIB) as compared with those without renal disease (NRD). We conducted a population-based study using the National Inpatient Sample (NIS) database to study the outcomes of GIB in ESRD. METHODS: Patients admitted with GIB (upper and lower) from 2005 to 2013 were extracted from the NIS database using ICD-9 codes. Patients were divided into NRD and ESRD groups, and a 1:1 propensity matched analysis was performed. Various outcomes were compared in both groups, and subgroup analysis based on the timing of endoscopy was also performed. RESULTS: A total of 218 032 patients were included in the study. There was an increase in inpatient admissions among ESRD patients with GIB with significant reduction in mortality (P < 0.001). In-hospital mortality, length of stay, and total costs were significantly higher in ESRD patients as compared with NRD. ESRD patients were less likely to undergo endoscopic evaluation compared with NRD (P < 0.001). Late endoscopy (> 48 h) was associated with increased need for transfusion and health-care utilization but without a significant difference in mortality as compared with early endoscopy. On multivariate analysis, endoscopy was associated with significantly lower rate of mortality in ESRD patients with GIB (odds ratio 0.28, P < 0.0001). CONCLUSION: End-stage renal disease patients with GIB had a significantly higher rate of mortality and a higher health-care utilization with a lower rate of endoscopic evaluation. Endoscopy was associated with a lower mortality rate on multivariate analysis.

Inpatient COVID-19 mortality has reduced over time: Results from an observational cohort.

BACKGROUND: The Covid-19 pandemic in the United Kingdom has seen two waves; the first starting in March 2020 and the second in late October 2020. It is not known whether outcomes for those admitted with severe Covid were different in the first and second waves. METHODS: The study population comprised all patients admitted to a 1,500-bed London Hospital Trust between March 2020 and March 2021, who tested positive for Covid-19 by PCR within 3-days of admissions. Primary outcome was death within 28-days of admission. Socio-demographics (age, sex, ethnicity), hypertension, diabetes, obesity, baseline physiological observations, CRP, neutrophil, chest x-ray abnormality, remdesivir and dexamethasone were incorporated as co-variates. Proportional subhazards models compared mortality risk between wave 1 and wave 2. Cox-proportional hazard model with propensity score adjustment were used to compare mortality in patients prescribed remdesivir and dexamethasone. RESULTS: There were 3,949 COVID-19 admissions, 3,195 hospital discharges and 733 deaths. There were notable differences in age, ethnicity, comorbidities, and admission disease severity between wave 1 and wave 2. Twenty-eight-day mortality was higher during wave 1 (26.1% versus 13.1%). Mortality risk adjusted for co-variates was significantly lower in wave 2 compared to wave 1 [adjSHR 0.49 (0.37, 0.65) p<0.001]. Analysis of treatment impact did not show statistically different effects of remdesivir [HR 0.84 (95%CI 0.65, 1.08), p = 0.17] or dexamethasone [HR 0.97 (95%CI 0.70, 1.35) p = 0.87]. CONCLUSION: There has been substantial improvements in COVID-19 mortality in the second wave, even accounting for demographics, comorbidity, and disease severity. Neither dexamethasone nor remdesivir appeared to be key explanatory factors, although there may be unmeasured confounding present.

Trends of in-hospital cardiac arrests in a single tertiary hospital with a mature rapid response system.

BACKGROUND: Most studies on rapid response system (RRS) have simply focused on its role and effectiveness in reducing in-hospital cardiac arrests (IHCAs) or hospital mortality, regardless of the predictability of IHCA. This study aimed to identify the characteristics of IHCAs including predictability of the IHCAs as our RRS matures for 10 years, to determine the best measure for RRS evaluation. METHODS: Data on all consecutive adult patients who experienced IHCA and received cardiopulmonary resuscitation in general wards between January 2010 and December 2019 were reviewed. IHCAs were classified into three groups: preventable IHCA (P-IHCA), non-preventable IHCA (NP-IHCA), and inevitable IHCA (I-IHCA). The annual changes of three groups of IHCAs were analyzed with Poisson regression models. RESULTS: Of a total of 800 IHCA patients, 149 (18.6%) had P-IHCA, 465 (58.1%) had NP-IHCA, and 186 (23.2%) had I-IHCA. The number of the RRS activations increased significantly from 1,164 in 2010 to 1,560 in 2019 (P = 0.009), and in-hospital mortality rate was significantly decreased from 9.20/1,000 patients in 2010 to 7.23/1000 patients in 2019 (P = 0.009). The trend for the overall IHCA rate was stable, from 0.77/1,000 patients in 2010 to 1.06/1,000 patients in 2019 (P = 0.929). However, while the incidence of NP-IHCA (P = 0.927) and I-IHCA (P = 0.421) was relatively unchanged over time, the incidence of P-IHCA decreased from 0.19/1,000 patients in 2010 to 0.12/1,000 patients in 2019 (P = 0.025). CONCLUSIONS: The incidence of P-IHCA could be a quality metric to measure the clinical outcomes of RRS implementation and maturation than overall IHCAs.