scholarly journals COVID in women in Brazil: length of stay and outcomes of first hospitalizations

Rev Rene ◽  
2021 ◽  
Vol 22 ◽  
pp. e61049
Author(s):  
Erica de Brito Pitilin ◽  
Maicon Henrique Lentsck ◽  
Vanessa Aparecida Gasparin ◽  
Larissa Pereira Falavina ◽  
Vander Monteiro da Conceição ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Ecological Study ◽  
Length Of Hospital Stay ◽  
Secondary Diagnosis ◽  
Chi Square ◽  
Hospital Stays ◽  
Underlying Diseases

Objective: to analyze the length of hospital stay and outcomes of the first hospitalizations due to COVID-19 of women at the beginning of the pandemic. Methods: ecological study with data on COVID-19 hospitalizations of women. Data classification was done by states, regions, age, length of hospital stay, main and secondary diagnosis (underlying diseases), and outcome. Kruskal-Wallis, Mann-Whitney, and chi-square tests were used for the analysis. Results: the Southeast region had the highest number of hospitalizations (0.6%). Of the total number of hospitalizations, 14.6% required an intensive care unit. The length of hospital stay of women over 50 years was significant for Brazil (p<0.001). There was an association between length of hospital stay and levels 2 and 3 of comorbidity. Deaths in women over 50 years old were significant in Brazil, Northeast, and Southeast (p<0.001). Conclusion: women over 50 years old with comorbidities are associated with longer hospital stays and deaths.

The Impact of Resident Holdover Admissions on Length of Hospital Stay and Risk of Transfer to an Intensive Care Unit

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Deepshikha Charan Ashana ◽  
Vincent K. Chan ◽  
Sitaram Vangala ◽  
Douglas S. Bell
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Length Of Hospital Stay ◽  
The Impact

scholarly journals Patient length of stay and mortality prediction: A survey

2017 ◽  
Vol 30 (2) ◽  
pp. 105-120 ◽  
Author(s):  
Aya Awad ◽  
Mohamed Bader–El–Den ◽  
James McNicholas
Keyword(s):  
Intensive Care Unit ◽  
Critical Care ◽  
Intensive Care ◽  
Length Of Stay ◽  
Length Of Hospital Stay ◽  
Hospital Performance ◽  
Mortality Prediction ◽  
Cost Of Care ◽  
Resource Utilisation ◽  
Number Of Patients

Over the past few years, there has been increased interest in data mining and machine learning methods to improve hospital performance, in particular hospitals want to improve their intensive care unit statistics by reducing the number of patients dying inside the intensive care unit. Research has focused on prediction of measurable outcomes, including risk of complications, mortality and length of hospital stay. The length of stay is an important metric both for healthcare providers and patients, influenced by numerous factors. In particular, the length of stay in critical care is of great significance, both to patient experience and the cost of care, and is influenced by factors specific to the highly complex environment of the intensive care unit. The length of stay is often used as a surrogate for other outcomes, where those outcomes cannot be measured; for example as a surrogate for hospital or intensive care unit mortality. The length of stay is also a parameter, which has been used to identify the severity of illnesses and healthcare resource utilisation. This paper examines a range of length of stay and mortality prediction applications in acute medicine and the critical care unit. It also focuses on the methods of analysing length of stay and mortality prediction. Moreover, the paper provides a classification and evaluation for the analytical methods of the length of stay and mortality prediction associated with a grouping of relevant research papers published in the years 1984 to 2016 related to the domain of survival analysis. In addition, the paper highlights some of the gaps and challenges of the domain.

scholarly journals The assessment of clinical evaluation and treatment results of high-energy blunt polytrauma patients

Medicina ◽  
2007 ◽  
Vol 43 (2) ◽  
pp. 137 ◽  
Author(s):  
Algimantas Pamerneckas ◽  
Andrei Pijadin ◽  
Giedrius Pilipavičius ◽  
Gintaras Tamulaitis ◽  
Vytautas Toliušis ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Injury Severity ◽  
Motor Vehicle ◽  
High Energy ◽  
Ventilation Time ◽  
Polytrauma Patients ◽  
The Mean

The aim of this study was to evaluate the mechanism of high-energy blunt trauma, age and gender of patients, severity of regional and multiple injury, ventilation time, length of stay in intensive care unit and in-hospital stay, in-hospital complications, and treatment outcome. Materials and methods. Data on 159 patients with severe multiple injuries, meeting inclusion criteria, were collected prospectively and evaluated retrospectively. Results. The mean age of multiple trauma patients was 43.9±1.4 years; males were injured 2.5 times more often than females (P<0.001). More than half (66.7%) of patients were 17–64-year-old males. Majority (83%) of all patients were injured in motor vehicle crashes, and 52.2% of these patients were pedestrians. The mean Injury Severity Score was 29.5±0.8, and severe (Abbreviated Injury Scale score of 3 and more) injuries of extremities, head, and chest made up 69.1% of all injuries. The mean ventilation time, mean length of stay in intensive care unit, and mean in-hospital stay were 5.5±0.7, 7.0±0.8, and 23.6±1.6 days, respectively. Acute lung complications were the most common (25.2%). Systemic inflammatory response syndrome developed in 7.5% of patients, and sepsis in 3.8% of patients. More than one-fifth (20.8%) of polytrauma patients died. Conclusions. Working-age male pedestrians (17–64 years old) made up two-thirds of all polytrauma patients. Severe injuries of extremities, head, and chest were present in 69.1% of all cases. Lung complications were the most common.

scholarly journals Statin Use and COVID-19 Infectivity and Severity in South Korea: Two Population-Based Nationwide Cohort Studies (Preprint)

2021 ◽  
Author(s):  
Seung Won Lee ◽  
So Young Kim ◽  
Sung Yong Moon ◽  
In Kyung Yoo ◽  
Eun-Gyong Yoo ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Clinical Outcomes ◽  
Length Of Hospital Stay ◽  
Population Based ◽  
Adjusted Relative Risk ◽  
Invasive Ventilation ◽  
Independent Population ◽  
Statin Use

BACKGROUND Basic studies suggest that statins as add-on therapy may benefit patients with COVID-19; however, real-world evidence of such a beneficial association is lacking. OBJECTIVE We investigated differences in SARS-CoV-2 test positivity and clinical outcomes of COVID-19 (composite endpoint: admission to intensive care unit, invasive ventilation, or death) between statin users and nonusers. METHODS Two independent population-based cohorts were analyzed, and we investigated the differences in SARS-CoV-2 test positivity and severe clinical outcomes of COVID-19, such as admission to the intensive care unit, invasive ventilation, or death, between statin users and nonusers. One group comprised an unmatched cohort of 214,207 patients who underwent SARS-CoV-2 testing from the Global Research Collaboration Project (GRCP)-COVID cohort, and the other group comprised an unmatched cohort of 74,866 patients who underwent SARS-CoV-2 testing from the National Health Insurance Service (NHIS)-COVID cohort. RESULTS The GRCP-COVID cohort with propensity score matching had 29,701 statin users and 29,701 matched nonusers. The SARS-CoV-2 test positivity rate was not associated with statin use (statin users, 2.82% [837/29,701]; nonusers, 2.65% [787/29,701]; adjusted relative risk [aRR] 0.97; 95% CI 0.88-1.07). Among patients with confirmed COVID-19 in the GRCP-COVID cohort, 804 were statin users and 1573 were matched nonusers. Statin users were associated with a decreased likelihood of severe clinical outcomes (statin users, 3.98% [32/804]; nonusers, 5.40% [85/1573]; aRR 0.62; 95% CI 0.41-0.91) and length of hospital stay (statin users, 23.8 days; nonusers, 26.3 days; adjusted mean difference –2.87; 95% CI –5.68 to –0.93) than nonusers. The results of the NHIS-COVID cohort were similar to the primary results of the GRCP-COVID cohort. CONCLUSIONS Our findings indicate that prior statin use is related to a decreased risk of worsening clinical outcomes of COVID-19 and length of hospital stay but not to that of SARS-CoV-2 infection.

scholarly journals Association of prescription opioid use on mortality and hospital length of stay in the intensive care unit

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0250320
Author(s):  
Nicole Hardy ◽  
Fatima Zeba ◽  
Anaelia Ovalle ◽  
Alicia Yanac ◽  
Christelle Nzugang-Noutonsi ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Prescription Opioid ◽  
Opioid Use ◽  
Icu Admission ◽  
Prescription Opioid Use

Objective Several studies show that chronic opioid dependence leads to higher in-hospital mortality, increased risk of hospital readmissions, and worse outcomes in trauma cases. However, the association of outpatient prescription opioid use on morbidity and mortality has not been adequately evaluated in a critical care setting. The purpose of this study was to determine if there is an association between chronic opioid use and mortality after an ICU admission. Design A single-center, longitudinal retrospective cohort study of all Intensive Care Unit (ICU) patients admitted to a tertiary-care academic medical center from 2001 to 2012 using the MIMIC-III database. Setting Medical Information Mart for Intensive Care III database based in the United States. Patients Adult patients 18 years and older were included. Exclusion criteria comprised of patients who expired during their hospital stay or presented with overdose; patients with cancer, anoxic brain injury, non-prescription opioid use; or if an accurate medication reconciliation was unable to be obtained. Patients prescribed chronic opioids were compared with those who had not been prescribed opioids in the outpatient setting. Interventions None. Measurements and main results The final sample included a total of 22,385 patients, with 2,621 (11.7%) in the opioid group and 19,764 (88.3%) in the control group. After proceeding with bivariate analyses, statistically significant and clinically relevant differences were identified between opioid and non-opioid users in sex, length of hospital stay, and comorbidities. Opioid use was associated with increased mortality in both the 30-day and 1-year windows with a respective odds ratios of 1.81 (95% CI, 1.63–2.01; p<0.001) and 1.88 (95% CI, 1.77–1.99; p<0.001), respectively. Conclusions Chronic opioid usage was associated with increased hospital length of stay and increased mortality at both 30 days and 1 year after ICU admission. Knowledge of this will help providers make better choices in patient care and have a more informed risk-benefits discussion when prescribing opioids for chronic usage.

Outcomes of Patients With Hematologic Malignancies Who Received Inpatient Palliative Care Consultation

2022 ◽  
Author(s):  
Anthony V. Pasquarella ◽  
Shahidul Islam ◽  
Angela Ramdhanny ◽  
Mina Gendy ◽  
Priya Pinto ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Palliative Care ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hematologic Malignancies ◽  
Readmission Rates ◽  
Chi Square ◽  
Logistic Regression Models ◽  
Stepwise Variable Selection ◽  
Palliative Care Consultation

PURPOSE: Palliative care (PC) plays an established role in improving outcomes in patients with solid tumors, yet these services are underutilized in hematologic malignancies (HMs). We reviewed records of hospitalized patients with active HM to determine associations between PC consultation and length of stay, intensive care unit stay, 30-day readmission, and 6-month mortality compared with those who were not seen by PC. METHODS: We reviewed all oncology admissions at our institution between 2013 and 2019 and included patients with HM actively on treatment, stratified by those seen by PC to controls not seen by PC. Groups were compared using Wilcoxon rank-sum, chi-square, and Fisher's exact tests on the basis of the type and distribution of data. Multiple logistic regression models with stepwise variable selection methods were used to find predictors of outcomes. RESULTS: Three thousand six hundred fifty-four admissions were reviewed, among which 370 unique patients with HM were included. Among these, 102 (28%) patients saw PC, whereas the remaining 268 were controls with similar comorbidities. When compared with controls, PC consultation was associated with a statistically significant reduction in 30-day readmissions (16% v 27%; P = .024), increased length of stay (11.5 v 6 days; P < .001), increased intensive care unit admission (28% v 9%; P < .001), and increased 6-month mortality (67% v 15%; P < .001). These data were confirmed in multivariable models. CONCLUSION: In this retrospective study, more than two thirds of patients with HM did not receive PC consultation despite having similar comorbidities, suggesting that inpatient PC consultation is underutilized in patients with HM, despite the potential for decreased readmission rates.

scholarly journals Obesity May Not Be Associated with 28-Day Mortality, Duration of Invasive Mechanical Ventilation and Length of Intensive Care Unit and Hospital Stay in Critically Ill Patients with Severe Acute Respiratory Syndrome Coronavirus-2: A Retrospective Cohort Study

Medicina ◽  
2021 ◽  
Vol 57 (7) ◽  
pp. 674
Author(s):  
Sjaak Pouwels ◽  
Dharmanand Ramnarain ◽  
Emily Aupers ◽  
Laura Rutjes-Weurding ◽  
Jos van Oers
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Cohort Study ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Stay ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Invasive Mechanical Ventilation ◽  
Significant Difference

Background and Objectives: The aim of this study was to investigate the association between obesity and 28-day mortality, duration of invasive mechanical ventilation and length of stay at the Intensive Care Unit (ICU) and hospital in patients admitted to the ICU for SARS-CoV-2 pneumonia. Materials and Methods: This was a retrospective observational cohort study in patients admitted to the ICU for SARS-CoV-2 pneumonia, in a single Dutch center. The association between obesity (body mass index > 30 kg/m2) and 28-day mortality, duration of invasive mechanical ventilation and length of ICU and hospital stay was investigated. Results: In 121 critically ill patients, pneumonia due to SARS-CoV-2 was confirmed by RT-PCR. Forty-eight patients had obesity (33.5%). The 28-day all-cause mortality was 28.1%. Patients with obesity had no significant difference in 28-day survival in Kaplan–Meier curves (log rank p 0.545) compared with patients without obesity. Obesity made no significant contribution in a multivariate Cox regression model for prediction of 28-day mortality (p = 0.124), but age and the Sequential Organ Failure Assessment (SOFA) score were significant independent factors (p < 0.001 and 0.002, respectively). No statistically significant correlation was observed between obesity and duration of invasive mechanical ventilation and length of ICU and hospital stay. Conclusion: One-third of the patients admitted to the ICU for SARS-CoV-2 pneumonia had obesity. The present study showed no relationship between obesity and 28-day mortality, duration of invasive mechanical ventilation, ICU and hospital length of stay. Further studies are needed to substantiate these findings.

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