Abstract TMP83: Association Between Hospital Procedural Volumes and Clinical Outcomes For Patients With Non-Traumatic Subarachnoid Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Dana Leifer ◽  
Gregg Fonarow ◽  
Anne Hellkamp ◽  
David Baker ◽  
Brian Hoh ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Subarachnoid Hemorrhage ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Sensitivity And Specificity ◽  
Case Volume ◽  
Logistic Regression Models ◽  
Improved Outcomes ◽  
Volume Outcome ◽  
Traumatic Subarachnoid Hemorrhage

Introduction: Previous studies of patients with non-traumatic subarachnoid hemorrhage (SAH) suggest better outcomes at hospitals with higher case and procedural volumes, but the shape of the volume-outcome curve has not been defined. We sought to establish minimum volume criteria for SAH and aneurysm obliteration procedures that could be used for comprehensive stroke centers (CSC) certification. Methods: The 8,512 SAH discharges in the National Inpatient Sample (NIS) from 2010-11 were analyzed. Logistic regression models were used to evaluate the association between clinical outcomes (in-hospital mortality and the NIS-SAH Outcome Measure (NIS-SOM)) and 3 measures of hospital annual case volume (ACV) (nontraumatic SAH discharges, coiling, and clipping procedures). Sensitivity and specificity analyses for the association of desirable clinical outcomes with different volume thresholds were performed. Results: 28.7% of cases underwent clipping and 20.1% underwent coiling with rates of 21.2%for in-hospital mortality and 38.6% for poor outcome on the NIS-SOM. The mean (range) of SAH ACV, coiling ACV, and clipping ACV were 30.9 (1-195), 8.7 (0-94), and 6.1 (0-69). Logistic regression demonstrated improved outcomes with increasing ACVs of SAH discharges and procedures for aneurysm obliteration, with attenuation of the benefit beyond 35 SAH cases/yr. Sensitivity and specificity analyses with different ACV thresholds confirmed the results. Analysis of previously proposed ACV thresholds, including those used as minimum standards for CSC certification, showed that hospitals with more than 35 SAH cases annually had better outcomes compared to hospitals with fewer cases, but some hospitals below this threshold had similar outcomes to those with more cases. The adjusted odds ratio favoring better outcomes with SAH ACV ≥ 35 compared to SAH 20 to 34 was 0.82 for the NIS-SOM (p=0.0054) and 0.80 (p=0.0055) for in-hospital mortality. Conclusions: Outcomes for SAH patients improve with increasing hospital case volumes and procedure volumes, with consistently better outcomes for hospitals with more than 35 SAH cases per year.

scholarly journals Association Between Hospital Volumes and Clinical Outcomes for Patients With Nontraumatic Subarachnoid Hemorrhage

2021 ◽  
Author(s):  
Dana Leifer ◽  
Gregg C. Fonarow ◽  
Anne Hellkamp ◽  
David Baker ◽  
Brian L. Hoh ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Subarachnoid Hemorrhage ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Sensitivity And Specificity ◽  
Case Volume ◽  
Logistic Regression Models ◽  
Poor Outcomes ◽  
Comprehensive Stroke Center ◽  
Stroke Center

Background Previous studies of patients with nontraumatic subarachnoid hemorrhage (SAH) suggest better outcomes at hospitals with higher case and procedural volumes, but the shape of the volume‐outcome curve has not been defined. We sought to establish minimum volume criteria for SAH and aneurysm obliteration procedures that could be used for comprehensive stroke center certification. Methods and Results Data from 8512 discharges in the National Inpatient Sample (NIS) from 2010 to 2011 were analyzed using logistic regression models to evaluate the association between clinical outcomes (in‐hospital mortality and the NIS‐SAH Outcome Measure [NIS‐SOM]) and measures of hospital annual case volume (nontraumatic SAH discharges, coiling, and clipping procedures). Sensitivity and specificity analyses for the association of desirable outcomes with different volume thresholds were performed. During 8512 SAH hospitalizations, 28.7% of cases underwent clipping and 20.1% underwent coiling with rates of 21.2% for in‐hospital mortality and 38.6% for poor outcome on the NIS‐SOM. The mean (range) of SAH, coiling, and clipping annual case volumes were 30.9 (1–195), 8.7 (0–94), and 6.1 (0–69), respectively. Logistic regression demonstrated improved outcomes with increasing annual case volumes of SAH discharges and procedures for aneurysm obliteration, with attenuation of the benefit beyond 35 SAH cases/year. Analysis of sensitivity and specificity using different volume thresholds confirmed these results. Analysis of previously proposed volume thresholds, including those utilized as minimum standards for comprehensive stroke center certification, showed that hospitals with more than 35 SAH cases annually had consistently superior outcomes compared with hospitals with fewer cases, although some hospitals below this threshold had similar outcomes. The adjusted odds ratio demonstrating lower risk of poor outcomes with SAH annual case volume ≥35 compared with 20 to 34 was 0.82 for the NIS‐SOM (95% CI, 0.71–094; P =0.0054) and 0.80 (95% CI, 0.68–0.93; P =0.0055) for in‐hospital mortality. Conclusions Outcomes for patients with SAH improve with increasing hospital case volumes and procedure volumes, with consistently better outcomes for hospitals with more than 35 SAH cases per year.

scholarly journals Effects of case volume and comprehensive stroke center capabilities on patient outcomes of clipping and coiling for subarachnoid hemorrhage

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Ryota Kurogi ◽  
Akiko Kada ◽  
Kuniaki Ogasawara ◽  
Takanari Kitazono ◽  
Nobuyuki Sakai ◽  
...  
Keyword(s):  
Subarachnoid Hemorrhage ◽  
Hospital Mortality ◽  
Absolute Risk ◽  
High Volume ◽  
Short Term ◽  
Case Volume ◽  
Improved Outcomes ◽  
Poor Outcomes ◽  
Comprehensive Stroke Center ◽  
Stroke Center

OBJECTIVEImproved outcomes in patients with subarachnoid hemorrhage (SAH) treated at high-volume centers have been reported. The authors sought to examine whether hospital case volume and comprehensive stroke center (CSC) capabilities affect outcomes in patients treated with clipping or coiling for SAH.METHODSThe authors conducted a nationwide retrospective cohort study in 27,490 SAH patients who underwent clipping or coiling in 621 institutions between 2010 and 2015 and whose data were collected from the Japanese nationwide J-ASPECT Diagnosis Procedure Combination database. The CSC capabilities of each hospital were assessed by use of a validated scoring system based on answers to a previously reported 25-item questionnaire (CSC score 1–25 points). Hospitals were classified into quartiles based on CSC scores and case volumes of clipping or coiling for SAH.RESULTSOverall, the absolute risk reductions associated with high versus low case volumes and high versus low CSC scores were relatively small. Nevertheless, in patients who underwent clipping, a high case volume (> 14 cases/yr) was significantly associated with reduced in-hospital mortality (Q1 as control, Q4 OR 0.71, 95% CI 0.55–0.90) but not with short-term poor outcome. In patients who underwent coiling, a high case volume (> 9 cases/yr) was associated with reduced in-hospital mortality (Q4 OR 0.69, 95% CI 0.53–0.90) and short-term poor outcomes (Q3 [> 5 cases/yr] OR 0.75, 95% CI 0.59–0.96 vs Q4 OR 0.65, 95% CI 0.51–0.82). A high CSC score (> 19 points) was significantly associated with reduced in-hospital mortality for clipping (OR 0.68, 95% CI 0.54–0.86) but not coiling treatment. There was no association between CSC capabilities and short-term poor outcomes.CONCLUSIONSThe effects of case volume and CSC capabilities on in-hospital mortality and short-term functional outcomes in SAH patients differed between patients undergoing clipping and those undergoing coiling. In the modern endovascular era, better outcomes of clipping may be achieved in facilities with high CSC capabilities.

Risk factors and clinical outcomes associated with blood culture contamination

2021 ◽  
pp. 1-7
Author(s):  
Justin M. Klucher ◽  
Kevin Davis ◽  
Mrinmayee Lakkad ◽  
Jacob T. Painter ◽  
Ryan K. Dare
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Blood Culture ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Tertiary Care ◽  
Blood Cultures ◽  
Hospital Charges ◽  
Patient Specific ◽  
Contaminated Blood

Abstract Objective: To determine patient-specific risk factors and clinical outcomes associated with contaminated blood cultures. Design: A single-center, retrospective case-control risk factor and clinical outcome analysis performed on inpatients with blood cultures collected in the emergency department, 2014–2018. Patients with contaminated blood cultures (cases) were compared to patients with negative blood cultures (controls). Setting: A 509-bed tertiary-care university hospital. Methods: Risk factors independently associated with blood-culture contamination were determined using multivariable logistic regression. The impacts of contamination on clinical outcomes were assessed using linear regression, logistic regression, and generalized linear model with γ log link. Results: Of 13,782 blood cultures, 1,504 (10.9%) true positives were excluded, leaving 1,012 (7.3%) cases and 11,266 (81.7%) controls. The following factors were independently associated with blood-culture contamination: increasing age (adjusted odds ratio [aOR], 1.01; 95% confidence interval [CI], 1.01–1.01), black race (aOR, 1.32; 95% CI, 1.15–1.51), increased body mass index (BMI; aOR, 1.01; 95% CI, 1.00–1.02), chronic obstructive pulmonary disease (aOR, 1.16; 95% CI, 1.02–1.33), paralysis (aOR 1.64; 95% CI, 1.26–2.14) and sepsis plus shock (aOR, 1.26; 95% CI, 1.07–1.49). After controlling for age, race, BMI, and sepsis, blood-culture contamination increased length of stay (LOS; β = 1.24 ± 0.24; P < .0001), length of antibiotic treatment (LOT; β = 1.01 ± 0.20; P < .001), hospital charges (β = 0.22 ± 0.03; P < .0001), acute kidney injury (AKI; aOR, 1.60; 95% CI, 1.40–1.83), echocardiogram orders (aOR, 1.51; 95% CI, 1.30–1.75) and in-hospital mortality (aOR, 1.69; 95% CI, 1.31–2.16). Conclusions: These unique risk factors identify high-risk individuals for blood-culture contamination. After controlling for confounders, contamination significantly increased LOS, LOT, hospital charges, AKI, echocardiograms, and in-hospital mortality.

Abstract P394: Association Between Admission Dehydration and In-Hospital Mortality in Patients With Intracerebral Hemorrhage

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Bin Gao ◽  
Hongqiu Gu ◽  
Shimeng Liu ◽  
Qi Zhou ◽  
Kang Kaijiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intracerebral Hemorrhage ◽  
Hospital Mortality ◽  
Blood Urea Nitrogen ◽  
Regression Models ◽  
Fluid Management ◽  
Urea Nitrogen ◽  
Logistic Regression Models ◽  
Acute Intracerebral Hemorrhage ◽  
Stroke Center

Background and purpose: Our aim was to investigate the associations between dehydration status at admission and in-hospital mortality in patients with intracerebral hemorrhage. Methods: Data of consecutive patients with intracerebral hemorrhage between August 2015 and July 2019 based on China Stroke Center Alliance (CSCA) were analyzed. The patients were stratified based on the blood urea nitrogen (BUN) to creatinine (CR) ratio (BUN/CR) on admission, into dehydrated (BUN/CR ≥ 15) and non-dehydrated (BUN/CR < 15) groups. Data were analyzed with multi-variate logistic regression models to analyze the risks of death at hospital and baseline dehydration status. Results: A total number of 84043 patients with intracerebral hemorrhage were included in the study. The median age of patients on admission was 63.0 years, and 37.5% of them were women. Based on the baseline BUN/CR, 59153 (70.4%) patients were classified into dehydration group. Patients with admission dehydration (BUN/CR ≥ 15) had 13% lower risks of in-hospital mortality than those without dehydration (BUN/CR < 15, adjusted OR=0.87, 95%CI: [0.78-0.96]). In patients aged <65 years, patients with baseline dehydration (BUN/CR ≥ 15) showed 19% lower risks of in-hospital mortality (adjusted OR=0.81, 95%CI: [0.70-0.94].adjusted p=0.0049) than non-dehydrated patients (BUN/CR<15). Conclusion: Admission dehydration is associated with lower in-hospital mortality in intracerebral hemorrhage,which provides an imaging clue that fluid management could be important for acute intracerebral hemorrhage.

scholarly journals Early Plasma Osmolality Levels and Clinical Outcomes in Children Admitted to the Pediatric Intensive Care Unit: A Single-Center Cohort Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Huabin Wang ◽  
Zhongyuan He ◽  
Jiahong Li ◽  
Chao Lin ◽  
Huan Li ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Regression Model ◽  
Clinical Outcomes ◽  
Poor Prognosis ◽  
Logistic Regression Model ◽  
Plasma Osmolality ◽  
Pediatric Intensive Care ◽  
Linear Spline

Objective: Identifying high-risk children with a poor prognosis in pediatric intensive care units (PICUs) is critical. The aim of this study was to assess the predictive value of early plasma osmolality levels in determining the clinical outcomes of children in PICUs.Methods: We retrospectively assessed critically ill children in a pediatric intensive care database. The locally weighted-regression scatter-plot smoothing (LOWESS) method was used to explore the approximate relationship between plasma osmolality and in-hospital mortality. Linear spline functions and stepwise expansion models were applied in conjunction with a multivariate logistic regression to further analyze this relationship. A subgroup analysis by age and complications was performed.Results: In total, 5,620 pediatric patients were included in this study. An approximately “U”-shaped relationship between plasma osmolality and mortality was detected using LOWESS. In the logistic regression model using a linear spline function, plasma osmolality ≥ 290 mmol/L was significantly associated with in-hospital mortality [odds ratio (OR) 1.020, 95% confidence interval (CI) 1.010–1.031], while plasma osmolality &lt;290 mmol/L was not significantly associated with in-hospital mortality (OR 0.990, 95% CI 0.966–1.014). In the logistic regression model with plasma osmolality as a tri-categorical variable, only high osmolality was significantly associated with in-hospital mortality (OR 1.90, 95% CI 1.38–2.64), whereas low osmolality was not associated with in-hospital mortality (OR 1.28, 95% CI 0.84–1.94). The interactions between plasma osmolality and age or complications were not significant.Conclusion: High osmolality, rather than low osmolality, can predict a poor prognosis in children in PICUs.

scholarly journals Association of time-to-treatment with outcomes of Pneumocystis pneumonia with respiratory failure in HIV-negative patients

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Ryoung-Eun Ko ◽  
Soo Jin Na ◽  
Kyungmin Huh ◽  
Gee Young Suh ◽  
Kyeongman Jeon
Keyword(s):  
Logistic Regression ◽  
Respiratory Failure ◽  
Hospital Mortality ◽  
Regression Model ◽  
Clinical Outcomes ◽  
Logistic Regression Model ◽  
Pneumocystis Pneumonia ◽  
Definitive Treatment ◽  
Hypoxemic Respiratory Failure ◽  
Hiv Negative

Abstract Background The prevalence of pneumocystis pneumonia (PCP) and associated hypoxic respiratory failure is increasing in human immunodeficiency virus (HIV)-negative patients. However, no prior studies have evaluated the effect of early anti-PCP treatment on clinical outcomes in HIV-negative patient with severe PCP. Therefore, this study investigated the association between the time to anti-PCP treatment and the clinical outcomes in HIV-negative patients with PCP who presented with hypoxemic respiratory failure. Methods A retrospective observational study was performed involving 51 HIV-negative patients with PCP who presented in respiratory failure and were admitted to the intensive care unit between October 2005 and July 2018. A logistic regression model was used to adjust for potential confounding factors in the association between the time to anti-PCP treatment and in-hospital mortality. Results All patients were treated with appropriate anti-PCP treatment, primarily involving trimethoprim/sulfamethoxazole. The median time to anti-PCP treatment was 58.0 (28.0–97.8) hours. Thirty-one (60.8%) patients were treated empirically prior to confirmation of the microbiological diagnosis. However, the hospital mortality rates were not associated with increasing quartiles of time until anti-PCP treatment (P = 0.818, test for trend). In addition, hospital mortality of patients received early empiric treatment was not better than those of patients received definitive treatment after microbiologic diagnosis (48.4% vs. 40.0%, P = 0.765). In a multiple logistic regression model, the time to anti-PCP treatment was not associated with increased mortality. However, age (adjusted OR 1.07, 95% CI 1.01–1.14) and failure to initial treatment (adjusted OR 13.03, 95% CI 2.34–72.65) were independently associated with increased mortality. Conclusions There was no association between the time to anti-PCP treatment and treatment outcomes in HIV-negative patients with PCP who presented in hypoxemic respiratory failure.

In-Hospital Mortality and Trends Associated with Splenectomy in Patients with Immune-Mediated Thrombocytopenia (ITP).

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1398-1398
Author(s):  
Samantha M. Jaglowski ◽  
John C. Byrd ◽  
Jeffrey A. Jones
Keyword(s):  
Logistic Regression ◽  
Hospital Mortality ◽  
Mortality Risk ◽  
Medical Management ◽  
Regression Models ◽  
Multivariate Logistic Regression ◽  
Logistic Regression Models ◽  
Risk Of Death ◽  
Teaching Status ◽  
Observation Period

Abstract Abstract 1398 Poster Board I-420 Background: Splenectomy remains a standard treatment for ITP patients not responding to medical management, but anecdotal reports suggest that use of the procedure is in decline. We studied patterns of use and outcome of splenectomy performed for ITP at the population level. Methods: Using data from the Nationwide Inpatient Sample and ICD-9 diagnosis and procedure codes, we identified 39,543 splenectomies among hospital admissions including a diagnosis of ITP (ICD-9 287.3) from 1993-2005. Admissions were characterized by patient and hospital facility characteristics. Laparascopic procedures were identified by published procedure coding algorithms. Factors influencing in-hospital mortality for 2005 were further evaluated using multivariate logistic regression models. Results: Annual estimates for incidence of splenectomy are displayed in Figure 1. Between 1993 and 2005, there was a decrease in the total number of splenectomies performed for ITP, with the most significant drop occurring from 1997 to 2000, concurrent with the FDA approval of rituximab. Over the same period, there has been an increase in the proportion of splenectomies performed laparoscopically from 3.4% to 18.6%. Patient gender, age, presence of comorbid malignancy, and Charlson score were not significantly associated with type of splenectomy procedure. Among facility factors, only hospital teaching status was a statistically significant predictor of laparoscopic splenectomy use, early but not later in the observation period. On an annual basis, in-hospital mortality did not vary significantly over the observation period, with risks ranging from 1.5% (95% CI 0.83-2.86%) in 1993 to 4% (95% CI 2.8%-5.7%) in 1997. Annual mortality risk between open and laparoscopic procedures likewise did not significantly differ. However, over the total 13-year observation period there was a >60% increased risk of death with an open versus laparoscopic procedure (OR 1.669, p<0.0001). In 2005, 2869 splenectomy procedures were performed. Multivariate logistic regression models for in-hospital mortality that year found that presence of a malignancy (OR 9.65, p=0.003) significantly increased mortality risk. Charlson comorbidity approached statistical significance (0 v. ≥1, OR 6.83, p=0.087). Hospital bed-size (OR 0.87, p=0.73), location (rural v. urban, OR 3.80, p=0.127), and teaching status (OR 0.39, p=0.203) were not significantly associated with outcome. Conclusions: While the overall mortality risk from splenectomy in ITP is low, it is influenced by the presence of malignancy and other comorbid conditions. Further studies designed to evaluate newer medical management strategies (e.g. rituximab, thrombopoeitin mimetics, etc.) versus surgical intervention in these higher-risk populations are warranted. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Role of IgG against N-protein of SARS-CoV2 in COVID19 clinical outcomes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Mayank Batra ◽  
Runxia Tian ◽  
Chongxu Zhang ◽  
Emile Clarence ◽  
Camila Sofia Sacher ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Hospital Admissions ◽  
High Concentration ◽  
Logistic Regression Models ◽  
N Protein ◽  
Comorbidity Index ◽  
Poor Outcomes ◽  
Time Of Admission

AbstractThe Nucleocapsid Protein (N Protein) of severe acute respiratory syndrome Coronavirus 2 (SARS-CoV2) is located in the viral core. Immunoglobulin G (IgG) targeting N protein is detectable in the serum of infected patients. The effect of high titers of IgG against N-protein on clinical outcomes of SARS-CoV2 disease has not been described. We studied 400 RT-PCR confirmed SARS-CoV2 patients to determine independent factors associated with poor outcomes, including Medical Intensive Care Unit (MICU) admission, prolonged MICU stay and hospital admissions, and in-hospital mortality. We also measured serum IgG against the N protein and correlated its concentrations with clinical outcomes. We found that several factors, including Charlson comorbidity Index (CCI), high levels of IL6, and presentation with dyspnea were associated with poor clinical outcomes. It was shown that higher CCI and higher IL6 levels were independently associated with in-hospital mortality. Anti-N protein IgG was detected in the serum of 55 (55%) patients at the time of admission. A high concentration of antibodies, defined as signal to cut off ratio (S/Co) > 1.5 (75 percentile of all measurements), was found in 25 (25%) patients. The multivariable logistic regression models showed that between being an African American, higher CCI, lymphocyte counts, and S/Co ratio > 1.5, only S/Co ratio were independently associated with MICU admission and longer length of stay in hospital. This study recommends that titers of IgG targeting N-protein of SARS-CoV2 at admission is a prognostic factor for the clinical course of disease and should be measured in all patients with SARS-CoV2 infection.

scholarly journals Primary admission and secondary transfer of trauma patients to Dutch level I and level II trauma centers: predictors and outcomes

2021 ◽  
Author(s):  
Claire R. L. van den Driessche ◽  
Charlie A. Sewalt ◽  
Jan C. van Ditshuizen ◽  
Lisa Stocker ◽  
Michiel H. J. Verhofstad ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Hospital Mortality ◽  
Trauma Center ◽  
Regression Models ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Logistic Regression Models ◽  
Level Ii ◽  
Secondary Transfer ◽  
Level I

Abstract Purpose The importance and impact of determining which trauma patients need to be transferred between hospitals, especially considering prehospital triage systems, is evident. The objective of this study was to investigate the association between mortality and primary admission and secondary transfer of patients to level I and II trauma centers, and to identify predictors of primary and secondary admission to a designated level I trauma center. Methods Data from the Dutch Trauma Registry South West (DTR SW) was obtained. Patients ≥ 18 years who were admitted to a level I or level II trauma center were included. Patients with isolated burn injuries were excluded. In-hospital mortality was compared between patients that were primarily admitted to a level I trauma center, patients that were transferred to a level I trauma center, and patients that were primarily admitted to level II trauma centers. Logistic regression models were used to adjust for potential confounders. A subgroup analysis was done including major trauma (MT) patients (ISS > 15). Predictors determining whether patients were primarily admitted to level I or level II trauma centers or transferred to a level I trauma center were identified using logistic regression models. Results A total of 17,035 patients were included. Patients admitted primarily to a level I center, did not differ significantly in mortality from patients admitted primarily to level II trauma centers (Odds Ratio (OR): 0.73; 95% confidence interval (CI) 0.51–1.06) and patients transferred to level I centers (OR: 0.99; 95%CI 0.57–1.71). Subgroup analyses confirmed these findings for MT patients. Adjusted logistic regression analyses showed that age (OR: 0.96; 95%CI 0.94–0.97), GCS (OR: 0.81; 95%CI 0.77–0.86), AIS head (OR: 2.30; 95%CI 2.07–2.55), AIS neck (OR: 1.74; 95%CI 1.27–2.45) and AIS spine (OR: 3.22; 95%CI 2.87–3.61) are associated with increased odds of transfers to a level I trauma center. Conclusions This retrospective study showed no differences in in-hospital mortality between general trauma patients admitted primarily and secondarily to level I trauma centers. The most prominent predictors regarding transfer of trauma patients were age and neurotrauma. These findings could have practical implications regarding the triage protocols currently used.

scholarly journals Analysis of Characteristics and Clinical Outcomes for Crisis Management during the Four Waves of the COVID-19 Pandemic

2021 ◽  
Vol 18 (23) ◽  
pp. 12633
Author(s):  
Watchara Amasiri ◽  
Kritsasith Warin ◽  
Karicha Mairiang ◽  
Chatchai Mingmalairak ◽  
Wararit Panichkikosolkuli ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Crisis Management ◽  
Clinical Outcomes ◽  
Patient Characteristics ◽  
Multivariable Logistic Regression Analysis ◽  
X Rays ◽  
Field Hospital ◽  
Logistic Regression Models ◽  
Multivariable Logistic Regression ◽  
High Level

This study aims to analyze the patient characteristics and factors related to clinical outcomes in the crisis management of the COVID-19 pandemic in a field hospital. We conducted retrospective analysis of patient clinical data from March 2020 to August 2021 at the first university-based field hospital in Thailand. Multivariable logistic regression models were used to evaluate the factors associated with the field hospital discharge destination. Of a total of 3685 COVID-19 patients, 53.6% were women, with the median age of 30 years. General workers accounted for 97.5% of patients, while 2.5% were healthcare workers. Most of the patients were exposed to coronavirus from the community (84.6%). At the study end point, no patients had died, 97.7% had been discharged home, and 2.3% had been transferred to designated high-level hospitals due to their condition worsening. In multivariable logistic regression analysis, older patients with one or more underlying diseases who showed symptoms of COVID-19 and whose chest X-rays showed signs of pneumonia were in a worse condition than other patients. In conclusion, the university-based field hospital has the potential to fill acute gaps and prevent public agencies from being overwhelmed during crisis events.

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