The in-hospital mortality rate for upper GI hemorrhage has decreased over 2 decades in the United States: a nationwide analysis

2015 ◽  
Vol 81 (4) ◽  
pp. 882-888.e1 ◽  
Author(s):  
Marwan S. Abougergi ◽  
Anne C. Travis ◽  
John R. Saltzman
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
The United States ◽  
Upper Gi

CHARACTERISTICS OF NONTRAUMATIC SUBARACHNOID HEMORRHAGE IN THE UNITED STATES IN 2003

Neurosurgery ◽  
2007 ◽  
Vol 61 (6) ◽  
pp. 1131-1138 ◽  
Author(s):  
Alisa M. Shea ◽  
Shelby D. Reed ◽  
Lesley H. Curtis ◽  
Michael J. Alexander ◽  
John J. Villani ◽  
...  
Keyword(s):  
United States ◽  
Subarachnoid Hemorrhage ◽  
Mortality Rate ◽  
Confidence Interval ◽  
Hospital Mortality ◽  
Odds Ratio ◽  
The United States ◽  
National Database ◽  
Endovascular Coiling ◽  
Hospital Outcomes

Abstract OBJECTIVE Substantial progress has been made in the diagnosis and treatment of subarachnoid hemorrhage (SAH). However, studies of SAH in the United States do not include information more recent than 2001, precluding analysis of shifts in treatment methods. We examined the epidemiology and in-hospital outcomes of nontraumatic SAH in the United States. METHODS We analyzed nationally representative data from the 2003 Nationwide Inpatient Sample of the Healthcare Cost and Utilization Project to determine demographic and hospital characteristics, treatments, and in-hospital outcomes of patients with nontraumatic SAH. RESULTS In 2003, there were an estimated 31,476 discharges for nontraumatic SAH among patients aged 17 years or older, or 14.5 discharges per 100,000 adults. The in-hospital mortality rate was 25.3%. Microvascular clipping was performed in 7513 discharges, or 23.9% of inpatients with nontraumatic SAH; endovascular coiling was performed in 2849 discharges (9.1%). Adjusted odds of treatment with either procedure were significantly higher in urban teaching hospitals compared with urban nonteaching hospitals (odds ratio, 1.62; 95% confidence interval, 1.00–2.62) or rural hospitals (odds ratio, 3.08; 95% confidence interval, 1.93–4.91). CONCLUSION The in-hospital mortality rate associated with nontraumatic SAH continues to exceed 25%. Although it is unclear how many patients with nontraumatic SAH were actually diagnosed with a cerebral aneurysm, this study suggests that less than one-third of patients hospitalized for SAH receive surgical or endovascular treatment. Prospective studies are needed to elucidate either what systematic coding error is occurring in the national database or why patients may not receive treatment to secure a ruptured aneurysm.

Abstract 473: Will Obesity Bankrupt the United States? Obese Patients Who Underwent Cardiopulmonary Resuscitation Have Increased Thirty-Day Readmission and Total Hospital Cost

Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Kam Ho ◽  
Bharat Narasimhan ◽  
Lingling Wu ◽  
Shabnam Nasserifar ◽  
Jacqueline Sheehan ◽  
...  
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Cardiopulmonary Resuscitation ◽  
Hospital Mortality ◽  
The United States ◽  
Total Hospital Cost ◽  
Obese Patients ◽  
Secondary Diagnosis ◽  
Total Hospital ◽  
Total Cost

Purpose: To determine the relationship between obesity and thirty-days readmission, mortality, morbidity, and health care resource utilization in patients who underwent cardiopulmonary resuscitation (CPR) during their hospitalization in the in the United States. Method: A retrospective study was conducted using the AHRQ-HCUP NRD for the year 2014. Adults (≥ 18 years) with a primary diagnosis of CPR (1), along with a secondary diagnosis of obesity were identified using ICD-9 codes as described in the literature (2). The primary outcome was the rate of all-cause readmission within 30 days of discharge. Secondary outcomes were reasons for readmission, readmission mortality rate, morbidity, and resource use. Propensity score (PS) using the 1:1 nearest neighbor matching without replacement was utilized to adjust for confounders (3). Results: 113,394 hospital admissions among adults with a primary and secondary diagnosis of CPR were identified, of which 14.8% were obese. 1:1 PS matching was performed based on demographic and clinical characteristics. The 30-day rate of readmission among obese and non-obese with CPR were 4.94% and 2.82% (p <0.001). The most common readmission for both groups was unspecified sepsis (17.3%). During the index admission for CPR, the length of stay (LOS) among obese and non-obese patients were similar (10.3 vs 9.4 days, p=0.16). However, the total cost for the obese patients was statistically different ($33,232 vs $33,692, p <0.001). Most importantly, obese patients’ in-hospital mortality rate during their index admission was significant higher (58.7% vs 6.72%, p <0.001). Amongst those readmitted, obese patients similarly had a significantly longer LOS than their non-obese counterparts (8.1 vs 4.5 days, p <0.001) and their total cost was more expensive ($19,027 vs $10,572, p <0.001). But, obese patients’ in-hospital mortality rate during their readmission was not significant different (0.34 % vs 0.08%, p =0.09). Obesity (HR 1.77, p <0.02) was an independent predictor associated with higher risks of readmission. Conclusion: In this study, obese patients admitted with CPR have a higher 30 days of readmission rate, total hospital cost, and in-hospital mortality (p <0.02) than non-obese patients.

Warning against long-acting sulphonamides

1966 ◽  
Vol 4 (4) ◽  
pp. 13-13
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Erythema Multiforme ◽  
The United States ◽  
Stevens Johnson Syndrome ◽  
Warning Letter ◽  
Johnson Syndrome ◽  
The Us ◽  
Mucous Membranes ◽  
Long Acting

Last month the US Food and Drug Administration required American manufacturers of long-acting sulphonamides (sulphamethoxypyridazine, Lederkyn - Lederle and Midicel - PD; sulphadimethoxine - Madribon - Roche) to warn prescribers that in rare cases the Stevens-Johnson syndrome may develop as a severe and sometimes fatal side effect. This syndrome is a type of erythema multiforme in which large blisters appear on the skin and especially on the mucous membranes. The manufacturers were also to advise doctors ‘to consider prescribing short-acting sulphonamides first because they are effective for most of the same conditions’. The three drug firms concerned accordingly sent a joint warning letter to all doctors, pointing out that the Stevens-Johnson syndrome is a serious complication with a mortality rate of about 25%. So far 116 cases of this syndrome have been reported in association with the use of long-acting sulphonamides, most of them in the United States. Almost two thirds of the patients were children.

scholarly journals Epidemiology and Factors Affecting Mortality of Hospitalized Patients with Disseminated Intravascular Coagulation in the United States

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2404-2404
Author(s):  
Arya Mariam Roy ◽  
Manojna Konda ◽  
Akshay Goel ◽  
Appalanaidu Sasapu
Keyword(s):  
United States ◽  
African Americans ◽  
Native Americans ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Disseminated Intravascular Coagulation ◽  
The United States ◽  
Hospitalized Patients ◽  
Northeast Region ◽  
Intravascular Coagulation

Introduction Disseminated Intravascular Coagulation (DIC) is a systemic coagulopathy which leads to widespread thrombosis and hemorrhage and ultimately results in multiorgan dysfunction. DIC usually occurs as a complication of illnesses like severe sepsis, malignancies, trauma, acute pancreatitis, burns, and obstetrical complications. The prognosis and mortality of DIC depend on the etiology, however, the mortality of DIC is known to be on the higher side. The aim of the study is to analyze if gender, race, regional differences have any association with the mortality of hospitalized patients with DIC. Method The National Inpatient Sample database from the Healthcare Cost and Utilization Project (HCUP) for the year 2016 was queried for data. We identified hospital admissions for DIC with the International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code D65. The data was analyzed with STATA 16.0 version and univariate and multivariate analysis were performed. We studied the characteristics of all such hospitalizations for the year 2016 and the factors associated with the in-hospital mortality rate (MR) of DIC. We used length of stay, cost of stay as an outcome to determine if gender, race, and location play a role in the mortality. Results A total of 8704 admissions were identified with a diagnosis of DIC during the year 2016. The mean age for admission was found to be 56.48± 0.22. The percentage of admissions in females and males did not have a notable difference (50.57% vs 49.43%). The disease specific MR for DIC was 47.7%. Admission during weekend vs weekdays did not carry a statistically significant difference in terms of MR. Females with DIC were less likely to die in the hospital when compared to males with DIC (OR= 0.906, CI 0.82 - 0.99, p= 0.031). Interestingly, African Americans (AA) with DIC admissions were found to have 24% more risk of dying when compared to Caucasians admitted with DIC (OR= 1.24, CI 1.10 - 1.39, P= 0.00), Native Americans (NA) has 67% more risk of dying when compared to Caucasians (OR= 1.67, CI 1.03 - 2.69, p= 0.035). The mortality rate of NA, AA, Caucasians with DIC was found to be 57%, 52%, 47% respectively. The MR was found to be highest in hospitals of the northeast region (52%), then hospitals in the south (47%), followed by west and mid-west (46%), p= 0.000. Patients admitted to west and mid-west were 24% less likely to die when compared to patients admitted to northeast region hospitals (OR= 0.76, p= 0.001). The average length of stay and cost of stay were also less in west and mid-west regions when compared to north east. The difference in outcomes persisted after adjusting for age, gender, race, hospital division, co-morbid conditions. Conclusion Our study demonstrated that African Americans and Native Americans with DIC have high risk of dying in the hospital. Also, there exists a difference between the mortality rate, length and cost of stay among different regions in the United States. More research is needed to elucidate the factors that might be impacting the location-based variation in mortality. Disclosures No relevant conflicts of interest to declare.

scholarly journals Using Satellite Images and Deep Learning to Identify Associations Between County-Level Mortality and Residential Neighborhood Features Proximal to Schools: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Joshua J. Levy ◽  
Rebecca M. Lebeaux ◽  
Anne G. Hoen ◽  
Brock C. Christensen ◽  
Louis J. Vaickus ◽  
...  
Keyword(s):  
United States ◽  
Deep Learning ◽  
Mortality Rate ◽  
Satellite Images ◽  
The United States ◽  
Mortality Rates ◽  
Image Features ◽  
County Level ◽  
Crude Mortality Rate ◽  
Crude Mortality

What is the relationship between mortality and satellite images as elucidated through the use of Convolutional Neural Networks?Background: Following a century of increase, life expectancy in the United States has stagnated and begun to decline in recent decades. Using satellite images and street view images, prior work has demonstrated associations of the built environment with income, education, access to care, and health factors such as obesity. However, assessment of learned image feature relationships with variation in crude mortality rate across the United States has been lacking.Objective: We sought to investigate if county-level mortality rates in the U.S. could be predicted from satellite images.Methods: Satellite images of neighborhoods surrounding schools were extracted with the Google Static Maps application programming interface for 430 counties representing ~68.9% of the US population. A convolutional neural network was trained using crude mortality rates for each county in 2015 to predict mortality. Learned image features were interpreted using Shapley Additive Feature Explanations, clustered, and compared to mortality and its associated covariate predictors.Results: Predicted mortality from satellite images in a held-out test set of counties was strongly correlated to the true crude mortality rate (Pearson r = 0.72). Direct prediction of mortality using a deep learning model across a cross-section of 430 U.S. counties identified key features in the environment (e.g., sidewalks, driveways, and hiking trails) associated with lower mortality. Learned image features were clustered, and we identified 10 clusters that were associated with education, income, geographical region, race, and age.Conclusions: The application of deep learning techniques to remotely-sensed features of the built environment can serve as a useful predictor of mortality in the United States. Although we identified features that were largely associated with demographic information, future modeling approaches that directly identify image features associated with health-related outcomes have the potential to inform targeted public health interventions.

Abstract 514: Sex-Related Disparities in Outcomes After Myocardial Infarction Among Patients With Atrial Fibrillation: Evidence From a Nationwide Study

2017 ◽  
Vol 37 (suppl_1) ◽  
Author(s):  
Akintunde M Akinjero ◽  
Oluwole Adegbala ◽  
Tomi Akinyemiju
Keyword(s):  
United States ◽  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Hospital Mortality ◽  
Female Gender ◽  
The United States ◽  
Nationwide Study ◽  
Adjusted Risk ◽  
Targeted Interventions ◽  
Significant Difference

Background: The overall mortality rate after acute myocardial infarction (AMI) is falling in the United States. However, outcomes remain unacceptably worse in females compared to males. It is not known how coexisting atrial fibrillation (AF) modify outcomes among the sexes. We sought to examine the association of sex with clinical characteristics and outcomes after AMI among patients with AF. Methods: We accessed the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS), to extract all hospitalizations between 2007 and 2011 for patients above 18yrs with principal diagnosis of AMI and coexisting diagnosis of AF using ICD 9-CM codes. The NIS represents the largest all-payer hospitalization database in the United States, sampling approximately 8 million hospitalizations per year. We also extracted outcomes data (length of stay (LOS), stroke and in-hospital mortality) after AMI among Patients with AF. We then compared sex differences. Univariate and Multivariate analysis were conducted to determine the presence of statistically significant difference in outcomes between men and women. Results: A total of 184,584 AF patients with AMI were sampled, consisting of 46.82% (86,420) women and 53.13% (98,164) men. Compared with men, women with AF and AMI had a greater multivariate-adjusted risk for increased stroke rate (aOR=1.51, 95% CI=1.45-1.59), and higher in-hospital mortality (aOR=1.12, 95% CI=1.09-1.15). However, female gender was not significantly associated with longer LOS (aOR=-0.22, 95% CI= -0.29-(-0.14). Conclusion: In this large nationwide study of a population-based cohort, women experienced worse outcomes after AMI among patients with AF. They had higher in-hospital mortality and increased stroke rates. Our findings highlight the need for targeted interventions to improve these disparities in outcomes.

Abstract 45: Thrombolytic Treatment for In-Hospital Ischemic Strokes in United States

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Tenbit Emiru ◽  
Malik M Adil ◽  
Adnan I Qureshi
Keyword(s):  
United States ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Acute Ischemic Stroke ◽  
Clinical Characteristics ◽  
The United States ◽  
Treated Group ◽  
Hospital Charges ◽  
Thrombolytic Treatment

BACKGROUND: Despite the recent emphasis on protocols for emergent triage and treatment of in-hospital acute ischemic stroke, there is little data on rates and outcomes of patients receiving thrombolytics for in-hospital ischemic strokes. OBJECTIVE: To determine the rates of in-hospital ischemic stroke treated with thrombolytics and to compare outcomes with patients treated with thrombolytics on admission. DESIGN/METHODS: We analyzed a seven-year data (2002-2009) from the National Inpatient Survey (NIS), a nationally representative inpatient database in the United States. We identified patients who had in-hospital ischemic strokes (defined by thrombolytic treatment after one day of hospitalization) and those who received thrombolytics on the admission day. We compared demographics, baseline clinical characteristics, in hospital complications, length of stay, hospitalization charges, and discharge disposition, between the two patient groups. RESULT: A total of 18036 (21.5%) and 65912 (78.5%) patients received thrombolytics for in-hospital and on admission acute ischemic stroke, respectively. In hospital complications such as pneumonia (5.0% vs. 3.4%, p=0.0006), deep venous thrombosis (1.9% vs. 0.6%, p<0.0001) and pulmonary embolism (0.8% vs. 0.4%, p=0.01) were significantly higher in the in-hospital group compared to on admission thrombolytic treated group. Hospital length of stay and mean hospital charges were not different between the two groups. Patients who had in-hospital strokes had had higher rates of in hospital mortality (12.1% vs. 10.6%, p=0.02). In a multivariate analysis, in-hospital thrombolytic treated group had higher in-hospital mortality after adjustment for age, gender and baseline clinical characteristics (odds ratio 0.84, 95% confidence interval 0.74-0.95, p=0.008). CONCLUSION/RELEVANCE: In current practice, one out of every five acute ischemic stroke patients treated with thrombolytics is receiving treatment for in-hospital strokes. The higher mortality and complicated hospitalization in such patients needs to be recognized.

Geographic Disparity in the United States Heart Allocation System

2019 ◽  
pp. 65-87
Author(s):  
Fatemeh Karami ◽  
Mehdi Nayebpour ◽  
Monica Gentili ◽  
Naoru Koizumi ◽  
Andrew Rivard
Keyword(s):  
United States ◽  
Mortality Rate ◽  
Waiting Time ◽  
Average Distance ◽  
The United States ◽  
Allocation Model ◽  
Geographic Disparity ◽  
Transplant Candidates ◽  
Geographic Equity ◽  
The Impact

Organ allocation for transplantation across the United States is administered by the United Network for Organ Sharing (UNOS). UNOS recently approved a major policy change of the system used to allocate hearts for adult transplant candidates. The main objective of this study is to investigate the impact of the new policy on geographic disparity measured by four performance indicators (waiting time before a transplant, transplant rate, pre-transplant mortality rate, and average distance traveled by donated hearts). The current policy and the new policy were evaluated using the thoracic simulation allocation model. The results show that the new policy improves the median waiting time, transplant rate, and pre-transplant mortality rate. The overall predicted improvement in geographic equity is modest except in terms of waiting time. The findings highlight the need for a targeted approach for donor heart allocation to achieve equal access to heart transplantation in the US.

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