scholarly journals Aerosol components associated with hospital mortality in systemic sclerosis: an analysis from a nationwide Thailand healthcare database

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chingching Foocharoen ◽  
Udomlack Peansukwech ◽  
Patnarin Pongkulkiat ◽  
Ajanee Mahakkanukrauh ◽  
Siraphop Suwannaroj
Keyword(s):  
Systemic Sclerosis ◽  
Hospital Mortality ◽  
Renal Involvement ◽  
R Package ◽  
Spatial Modelling ◽  
Primary Diagnosis ◽  
National Database ◽  
Healthcare Database ◽  
Health Security ◽  
Icd 10

AbstractOccupational and environmental associations with systemic sclerosis (SSc) have been confirmed; however, the association between aerosol components and mortality is uncertain. The study aimed to define the association between aerosol components and hospital mortality among Thai SSc patients. A study was conducted using a national database of patients covered by the National Health Security Office, hospitalised between 2014 and 2018. Data included all patients over 18 having a primary diagnosis of SSc (ICD-10: M34). Spatial resources used map information based on GPS coordinates of Thailand. Aerosol components—including organic carbon, black carbon, dust particulate matter diameter < 2.5 µm (PM2.5), and sulfate—were assessed using the NASA satellite MERRA-2 Model M2TMNXFLX v5.12.4. Spatial modelling with R Package Integrated Nested Laplace Approximation (R-INLA) was used to analyse the association between the incidence of mortality and the 5-year accumulation of each aerosol component adjusted by age, sex, and comorbid diseases. The study included 2,094 SSc patients with 3,684 admissions. Most (63.8%) were female. During admission, 1,276 cases died. R-INLA analysis indicated an increase of 1 µg/m3 of dust PM2.5 was associated with a respective increase in the risk of overall mortality and death due to pneumonia of 96% and 79%. An increase of 1 µg/m3 of dust PM2.5 resulted in 1.17, 1.18, 1.64, and 2.15 times greater risk of mortality due to pulmonary fibrosis, cardiac involvement, renal involvement, and cancer, respectively. Aerosol components—particularly dust PM2.5 exposures—increased the risk of overall, cardio-pulmonary-renal, and cancer mortality among SSc patients.

scholarly journals Outcomes Following Acute Pulmonary Embolism in an Irish Population of over 1 Million Individuals: Opportunities for Quality Improvement and More Effective Resource Utilisation

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2979-2979
Author(s):  
Alexandra Tierney ◽  
Fionnuala Ni Ainle ◽  
Declan Lyons ◽  
Osasere Edebiri ◽  
Khalid Saeed ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Hospital Mortality ◽  
Research Funding ◽  
Primary Diagnosis ◽  
Low Risk ◽  
Resource Utilisation ◽  
Age Group ◽  
Discharge Destination ◽  
Outpatient Management ◽  
Icd 10

Abstract Introduction Pulmonary embolism (PE) is a leading cause of cardiovascular morbidity worldwide. The risk of early death in the setting of untreated PE may be as high as 30%. However, diagnostic and therapeutic advances in recent years have led to a progressive decline in global PE-related mortality and recent data describing rates of in-hospital death following PE suggest a mortality rate of approximately 5-15%. Moreover, strategies directed at stratification of PE severity have been shown to safely identify a sub-group of low-risk patients (up to 30-50% of all patients) for whom outpatient management is feasible without the need for hospital admission. Avoiding hospitalisation for low-risk PE patients is associated with improved patient satisfaction and avoids exposing patients to the risks associated with hospital admission. Ambulatory PE management would also be predicted to lead to significant healthcare cost-savings. However ambulatory care models for low-risk PE appear to be under-utilised despite these potential benefits. Barriers to implementation include access to outpatient follow-up services and the perceived risks associated with this model of care. The Ireland East Hospital Group (IEHG) is the largest hospital network in the Republic of Ireland, consisting of 11 hospitals (including large academic centres, community general hospitals and the national maternity hospital). The IEHG serves a population of over 1.1 million individuals. We sought to determine the frequency of admissions to hospital with PE and to assess key outcomes, including length-of-stay (LOS) and in-hospital mortality within this population. Methods Data pertaining to PE diagnosis from January 2018 to December 2020 were obtained from NQAIS Clinical (National Quality Assessment and Improvement System; an electronic reporting tool which is populated with anonymised data extracted from the hospital in-patient enquiry system). This system compiles diagnostic data on all patients by ICD-10 code at the time of discharge. For the purposes of this analysis the ICD-10 codes I26.0 and I26.9 were used to identify patients with PE and only admission episodes where PE was the primary diagnosis were included; cases of 'secondary PE' (historical PE or hospital-acquired) were excluded. Projected population figures, extrapolated from Census 2016 data, were obtained from Health Atlas Ireland (an open-source application providing access to datasets developed by the Health Intelligence Unit of the Health Service Executive of Ireland). Results During the 3-year study period, 958 in-patient episodes occurred where PE was recorded as the primary diagnosis, corresponding to an incidence of 0.37 per 1000 adults per annum (95% CI 0.35 to 0.40). The incidence was highest in the over 85 years age-group (1.07 per 1000 per annum; 95% CI 0.80 to 1.33). PE was more common in women in all age-groups apart from the 46-65 years age group [males: 0.51 (95% CI 0.44-0.51) vs females: 0.36 (95% CI 0.3-0.42) per 1000]. In 82.7% of episodes, the ultimate discharge destination was to home. In 5.3% the discharge destination was a nursing home and 4.6% were transferred to another hospital. The all-cause in-hospital mortality rate was 3.1% (30 fatalities; 18 females, 12 males). Most deaths occurred in the 66-85 years age-group (n=14), with 9 fatalities in the age &gt;85 years group and 7 fatal PE events in the 46-65 years age-group. Average hospital LOS was 7.8 days. 8.9% of inpatient episodes resulted in same-day discharge. In 55.9% of episodes, discharge occurred after day 4. Those discharged to home had an average length of stay of 6.31 days, while patients awaiting nursing home facilities averaged 26.5 days. Conclusion The incidence of acute presentation with PE within this population is consistent with international reports. The rate of in-hospital mortality compares favourably with these international standards. The mortality rate may reflect improvements in PE care but may also reflect the inclusion of a significant number of 'low-risk' individuals in the analysis (many of whom may have been suitable for outpatient management). The mortality rate might also reflect increased detection of small, low-risk distal PE (as a result of advances in diagnostics). In any event, these data suggest that more widespread implementation of outpatient PE management is likely to be feasible and would represent an opportunity for improved resource utilisation. Disclosures Ni Ainle: Leo Pharma: Research Funding; Actelion: Research Funding; Daiichi-Sankyo: Research Funding; Bayer Pharma: Research Funding. Kevane: Leo Pharma: Research Funding.

The Epidemiology of Guillain-Barré syndrome in Thailand over 13 years (2005 – 2017): A nationwide population-based retrospective cohort study (Preprint)

2020 ◽  
Author(s):  
Narongrit Kasemsap ◽  
Nisa Vorasoot ◽  
Kannikar Kongbunkiat ◽  
Somsak Tiamkao ◽  
Veerajit Chotmongkol ◽  
...  
Keyword(s):  
Elderly Patients ◽  
Incidence Rate ◽  
Age Groups ◽  
Patient Characteristics ◽  
Population Based ◽  
Primary Diagnosis ◽  
Health Security ◽  
International Classification Of Disease ◽  
Large Populations ◽  
Icd 10

BACKGROUND There have been no published studies examining the epidemiology of Guillain-Barré syndrome (GBS) in large populations in Thailand. OBJECTIVE This study aimed to explore the incidence, patient characteristics, seasonality, and geographical distribution of GBS in Thailand. METHODS The National Health Security Office (NHSO) provided data on inpatient admission between 2005 and 2017. We selected all in-patients with a primary diagnosis of GBS based on the International Classification of Disease-10 (ICD-10) codes. The ICD-9 codes were used for plasmapheresis and intravenous immunoglobulin (IVIg). We retrieved data regarding the total population in Thailand from the Department of Provincial Administration. RESULTS A total of 5,688 patients with GBS were included. The median age was 42 years, and 61.6% were male. The incidence rate increased from 0.54 to 1.22 per 100,000 population over the 13 years. The incidence was higher in late rainy season and early winter, although no pattern of seasonality was observed (P = .53). Overall in-hospital mortality was 3.2% and was significantly higher in elderly patients (5.4%) than in younger adults (3.4%) and children (1.4%; P < .001). Treatment with IVIg increased from 4.72% through 25.12% over the 13-year period (P < .001). CONCLUSIONS The incidence rate of GBS gradually increased over the study period, especially in elderly patients, who also had a higher rate of mortality than patients in other age groups. There was no seasonal variation in the incidence of GBS in Thailand. Treatment with IVIg drastically increased over time and was more common than treatment with PE.

scholarly journals Lung involvement in systemic sclerosis is associated with adverse hospital outcomes: insights from the National Inpatient Sample

2021 ◽  
pp. jim-2020-001743
Author(s):  
Jesse Osemudiamen Odion ◽  
Armaan Guraya ◽  
Chukwudi Charles Modijeje ◽  
Osahon Nekpen Idolor ◽  
Eseosa Jennifer Sanwo ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Hospital Charge ◽  
Hospital Length Of Stay ◽  
Lung Involvement ◽  
National Inpatient Sample ◽  
Inpatient Mortality ◽  
Total Hospital ◽  
Total Hospital Charge ◽  
Icd 10 ◽  
Secondary Outcomes

This study aimed to compare outcomes of systemic sclerosis (SSc) hospitalizations with and without lung involvement. The primary outcome was inpatient mortality while secondary outcomes were hospital length of stay (LOS) and total hospital charge. Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database. This database is the largest collection of inpatient hospitalization data in the USA. The NIS was searched for SSc hospitalizations with and without lung involvement as principal or secondary diagnosis using International Classification of Diseases 10th Revision (ICD-10) codes. SSc hospitalizations for patients aged ≥18 years from the above groups were identified. Multivariate logistic and linear regression analysis was used to adjust for possible confounders for the primary and secondary outcomes, respectively. There were over 71 million discharges included in the combined 2016 and 2017 NIS database. 62,930 hospitalizations were for adult patients who had either a principal or secondary ICD-10 code for SSc. 5095 (8.10%) of these hospitalizations had lung involvement. Lung involvement group had greater inpatient mortality (9.04% vs 4.36%, adjusted OR 2.09, 95% CI 1.61 to 2.73, p<0.0001), increase in mean adjusted LOS of 1.81 days (95% CI 0.98 to 2.64, p<0.0001), and increase in mean adjusted total hospital charge of $31,807 (95% CI 14,779 to 48,834, p<0.0001), compared with those without lung involvement. Hospitalizations for SSc with lung involvement have increased inpatient mortality, LOS and total hospital charge compared with those without lung involvement. Collaboration between the pulmonologist and the rheumatologist is important in optimizing outcomes of SSc hospitalizations with lung involvement.

scholarly journals POS1439 A MULTI-PREDICTOR MODEL TO PREDICT RISK OF SCLERODERMA RENAL CRISIS IN SYSTEMIC SCLEROSIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1004.1-1004
Author(s):  
D. Xu ◽  
R. Mu
Keyword(s):  
Systemic Sclerosis ◽  
Prediction Model ◽  
Renal Involvement ◽  
Area Under The Curve ◽  
Individual Risk ◽  
Multivariable Logistic Regression Analysis ◽  
Scleroderma Renal Crisis ◽  
Lasso Regression ◽  
Patients At Risk ◽  
Renal Crisis

Background:Scleroderma renal crisis (SRC) is a life-threatening syndrome. The early identification of patients at risk is essential for timely treatment to improve the outcome[1].Objectives:We aimed to provide a personalized tool to predict risk of SRC in systemic sclerosis (SSc).Methods:We tried to set up a SRC prediction model based on the PKUPH-SSc cohort of 302 SSc patients. The least absolute shrinkage and selection operator (Lasso) regression was used to optimize disease features. Multivariable logistic regression analysis was applied to build a SRC prediction model incorporating the features of SSc selected in the Lasso regression. Then, a multi-predictor nomogram combining clinical characteristics was constructed and evaluated by discrimination and calibration.Results:A multi-predictor nomogram for evaluating the risk of SRC was successfully developed. In the nomogram, four easily available predictors were contained including disease duration <2 years, cardiac involvement, anemia and corticosteroid >15mg/d exposure. The nomogram displayed good discrimination with an area under the curve (AUC) of 0.843 (95% CI: 0.797-0.882) and good calibration.Conclusion:The multi-predictor nomogram for SRC could be reliably and conveniently used to predict the individual risk of SRC in SSc patients, and be a step towards more personalized medicine.References:[1]Woodworth TG, Suliman YA, Li W, Furst DE, Clements P (2016) Scleroderma renal crisis and renal involvement in systemic sclerosis. Nat Rev Nephrol 12 (11):678-91.Disclosure of Interests:None declared

Hospital Volume is Not a Predictor of Outcomes after Gastrectomy for Neoplasm

2009 ◽  
Vol 75 (10) ◽  
pp. 932-936 ◽  
Author(s):  
Kevin M. Reavis ◽  
Marcelo W. Hinojosa ◽  
Brian R. Smith ◽  
James B. Wooldridge ◽  
Sindhu Krishnan ◽  
...  
Keyword(s):  
Length Of Stay ◽  
Hospital Mortality ◽  
Gastric Surgery ◽  
National Database ◽  
Medical Centers ◽  
Outcome Relationship ◽  
Academic Medical ◽  
Low Volume ◽  
Poor Outcomes ◽  
The University

Studies have shown conflicting data with regard to the volume and outcome relationship for gastrectomy. Using the University HealthSystem Consortium national database, we examined the influence of the hospital's volume of gastrectomy on outcomes at academic centers between 2004 and 2008. Outcome measures, including length of stay, 30-day readmission, morbidity, and in-hospital mortality, were compared among high- (13 or greater), medium- (6 to 12), and low-volume (five or less) hospitals. There were 10 high- (n = 593 cases), 36 medium- (n = 1076 cases), and 75 low-volume (n = 500 cases) hospitals. There were no significant differences between high- and low-volume hospitals with regard to length of stay, overall complications, 30-day readmission rate, and in-hospital mortality (2.4 vs 4.4%, respectively, P = 0.06). Despite the small number of gastrectomies performed at the low-volume hospitals, these same hospitals performed a large number of other types of gastric surgery such as gastric bypass for the treatment of morbid obesity (102 cases/year). Within the context of academic medical centers, lower annual volume of gastrectomy for neoplasm is not a predictor of poor outcomes which may be explained by the gastric operative experience derived from other types of gastric surgery.

scholarly journals Descriptive exploration of overdose codes in hospital and emergency department discharge data to inform development of drug overdose morbidity surveillance indicator definitions in ICD-10-CM

2021 ◽  
Vol 27 (S1) ◽  
pp. i27-i34
Author(s):  
Leigh M Tyndall Snow ◽  
Katelyn E Hall ◽  
Cody Custis ◽  
Allison L Rosenthal ◽  
Emilia Pasalic ◽  
...  
Keyword(s):  
Emergency Department ◽  
Adverse Effects ◽  
Drug Overdose ◽  
International Classification Of Diseases ◽  
Primary Diagnosis ◽  
Epidemiological Surveillance ◽  
Discharge Data ◽  
Aggregated Data ◽  
Data Coding ◽  
Icd 10

BackgroundIn October 2015, discharge data coding in the USA shifted to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM), necessitating new indicator definitions for drug overdose morbidity. Amid the drug overdose crisis, characterising discharge records that have ICD-10-CM drug overdose codes can inform the development of standardised drug overdose morbidity indicator definitions for epidemiological surveillance.MethodsEight states submitted aggregated data involving hospital and emergency department (ED) discharge records with ICD-10-CM codes starting with T36–T50, for visits occurring from October 2015 to December 2016. Frequencies were calculated for (1) the position within the diagnosis billing fields where the drug overdose code occurred; (2) primary diagnosis code grouped by ICD-10-CM chapter; (3) encounter types; and (4) intents, underdosing and adverse effects.ResultsAmong all records with a drug overdose code, the primary diagnosis field captured 70.6% of hospitalisations (median=69.5%, range=66.2%–76.8%) and 79.9% of ED visits (median=80.7%; range=69.8%–88.0%) on average across participating states. The most frequent primary diagnosis chapters included injury and mental disorder chapters. Among visits with codes for drug overdose initial encounters, subsequent encounters and sequelae, on average 94.6% of hospitalisation records (median=98.3%; range=68.8%–98.8%) and 95.5% of ED records (median=99.5%; range=79.2%–99.8%), represented initial encounters. Among records with drug overdose of any intent, adverse effect and underdosing codes, adverse effects comprised an average of 74.9% of hospitalisation records (median=76.3%; range=57.6%–81.1%) and 50.8% of ED records (median=48.9%; range=42.3%–66.8%), while unintentional intent comprised an average of 11.1% of hospitalisation records (median=11.0%; range=8.3%–14.5%) and 28.2% of ED records (median=25.6%; range=20.8%–40.7%).ConclusionResults highlight considerations for adapting and standardising drug overdose indicator definitions in ICD-10-CM.

Abstract P536: Impact of the Covid-19 Pandemic on the Volumes and Outcomes of Acute Ischemic Stroke and Myocardial Infarction

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Raul Nogueira ◽  
Katherine Etter ◽  
Thanh Nguyen ◽  
Shelly Ikeme ◽  
Michael R Frankel ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Ischemic Stroke ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Acute Ischemic Stroke ◽  
Intravenous Thrombolysis ◽  
Clinical Severity ◽  
Hospital Length Of Stay ◽  
Healthcare Database ◽  
Hospitalization Costs

Introduction: The COVID-19 pandemic has wreaked havoc on the presentation, care and outcomes of patients with acute cerebrovascular and cardiovascular conditions. We sought to measure the national impact of COVID-19 on the care for acute ischemic stroke (AIS) and acute myocardial infarction (AMI). Methods: In this retrospective, observational study, we used the Premier Healthcare Database to evaluate the changes in the volume of care and hospital outcomes for AIS and AMI in relation to the pandemic. The pandemic months were defined from March 1, 2020- April 30, 2020 and compared to the same period in the year prior. Outcome measures were volumes of hospitalization and reperfusion treatment for AIS and AMI (including intravenous thrombolysis [IVT] and/or mechanical thrombectomy [MT] for AIS and percutaneous coronary interventions [PCI] for AMI) as well as in-hospital mortality, hospital length of stay (LOS) and hospitalization costs were compared across a 2-month period at the height of the pandemic versus the corresponding period in the prior year. Results: There were 95,453 AIS patients across 145 hospitals and 19,744 AMI patients across 126 hospitals. There was a significant nation-wide decline in the absolute number of hospitalizations for AIS (-38.94%;95%CI,-34.75% to -40.71%) and AMI (-38.90%;95%CI,-37.03% to -40.81%) as well as IVT (-30.32%;95%CI,-27.02% to -33.83%), MT (-23.54%;95%CI,-19.84% to -27.70%), and PCI (-35.05%;95%CI,-33.04% to -37.12%) during the first two months of the pandemic. This occurred across low-, mid-, and high-volume centers and in all geographic regions. Higher in-hospital mortality was observed in AIS patients (5.7% vs.4.2%, p=0.0037;OR 1.41,95%CI 1.1-1.8) but not AMI patients. A shift towards an increase in the proportion of admitted AIS and AMI patients receiving reperfusion therapies suggests a greater clinical severity among patients that were hospitalized for these conditions during the pandemic. A shorter length of stay (AIS: -17%, AMI: -20%), and decreased hospitalization costs (AIS: -12%, AMI: -19%) were observed. Conclusions: Our findings shed light on the combined health outcomes and economic impact the COVID-19 pandemic has had on acute stroke and cardiac emergency care.

Impact of Underlying Congestive Heart Failure on In-Hospital Outcomes in Patients with Septic Shock

2021 ◽  
pp. 088506662110614
Author(s):  
Mohinder R. Vindhyal ◽  
Liuqiang (Kelsey) Lu ◽  
Sagar Ranka ◽  
Prakash Acharya ◽  
Zubair Shah ◽  
...  
Keyword(s):  
Heart Failure ◽  
Septic Shock ◽  
Congestive Heart Failure ◽  
Hospital Mortality ◽  
Secondary Analysis ◽  
Kidney Injury ◽  
Cross Sectional ◽  
Increased Risk ◽  
Icd 10 ◽  
Nationwide Readmission Database

Purpose: Septic shock (SS) manifests with profound circulatory and cellular metabolism abnormalities and has a high in-hospital mortality (25%-50%). Congestive heart failure (CHF) patients have underlying circulatory dysfunction and compromised cardiac reserve that may place them at increased risk if they develop sepsis. Outcomes in patients with CHF who are admitted with SS have not been well studied. Materials and Method: Retrospective cross sectional secondary analysis of the Nationwide Readmission Database (NRD) for 2016 and 2017. ICD-10 codes were used to identify patients with SS during hospitalization, and then the cohort was dichotomized into those with and without an underlying diagnosis of CHF. Results: Propensity match analyses were performed to evaluate in-hospital mortality and clinical cardiovascular outcomes in the 2 groups. Cardiogenic shock patients were excluded from the study. A total of 578,629 patients with hospitalization for SS were identified, of whom 19.1% had a coexisting diagnosis of CHF. After propensity matching, 81,699 individuals were included in the comparative groups of SS with CHF and SS with no CHF. In-hospital mortality (35.28% vs 32.50%, P < .001), incidence of ischemic stroke (2.71% vs 2.53%, P = .0032), and acute kidney injury (69.9% vs 63.9%, P = .001) were significantly higher in patients with SS and CHF when compared to those with SS and no CHF. Conclusions: This study identified CHF as a strong adverse prognosticator for inpatient mortality and several major adverse clinical outcomes. Study findings suggest the need for further investigation into these findings’ mechanisms to improve outcomes in patients with SS and underlying CHF.

Abstract T3: Type 2 Myocardial Infarction Predicts Outcome In Hypertensive Crisis Patients: Nationwide Analysis

Hypertension ◽  
2021 ◽  
Vol 78 (Suppl_1) ◽  
Author(s):  
Ahmed M Maraey ◽  
Ahmed Elzanaty ◽  
Hadeer R Elsharnoby ◽  
Mahmoud Salem ◽  
Mahmoud Khalil ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Hospital Mortality ◽  
Hypertensive Crisis ◽  
Primary Diagnosis ◽  
Hypertensive Emergency ◽  
Secondary Outcome ◽  
Hypertensive Urgency ◽  
Emergency Presentation ◽  
The Impact

Background: Type 2 Myocardial infarction (T2MI) can occur in hypertensive crisis patients. The impact of T2MI in this population is poorly understood due to limited available data. Objective: To assess the impact of T2MI on patients admitted to the hospital with hypertensive crisis. Methods: We queried National Readmission Database (NRD) of year 2018 for adult patients admitted with a primary diagnosis of hypertensive crisis. Patients were excluded if they had type 1 myocardial infarction (T1MI), septic shock, or bleeding in the index admission. Primary outcome was 90-day readmission due to T1MI. Secondary outcome was in-hospital mortality. Subgroup analysis was done according to urgency and emergency presentation. Multivariate regression was done to account for confounders. Results: A total of 101211 patients were included in our cohort of whom 3644 (3.6%) were diagnosed with T2MI and 24471 (24.2%) were readmitted within 90 days of discharge. Of those, 912 (3.7%) were diagnosed with T1MI on readmission. T2MI was independently associated with increased odds of 90-day readmission with T1MI (Adjusted odds ratio (aOR): 2.67, 95% CI [1.91-3.75], P=0.000). T2MI effect was observed in hypertensive urgency, and in hypertensive emergency. T2MI was associated with increased in-hospital mortality in hypertensive urgency population (aOR: 4.21, 95% [1.58-11.25], P=0.004) but not in hypertensive emergency (table 1). Conclusion: In hypertensive crisis patients, T2MI was associated with increased 90-day readmission with T1MI. Aggressive management of cardiovascular risk factors and risk stratification should be considered at the time of diagnosis.

Abstract T P243: Mortality Among Transferred Hemorrhagic Stroke Patients in United States: An Analysis From National Database

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Malik M Adil ◽  
Shyam Prabhakaran
Keyword(s):  
Hospital Mortality ◽  
Hemorrhagic Stroke ◽  
Inpatient Rehabilitation ◽  
National Database ◽  
Stroke Patients ◽  
Discharge Outcomes ◽  
Hospital Transfer ◽  
Transferred Patients ◽  
Surgical Treatments ◽  
Acute Rehabilitation

Background: Hemorrhagic stroke patients may require inter-facility transfer for higher level of care. Limited data are available on outcome of transferred patients. Objective: To determine in-hospital mortality and discharge outcomes among transferred hemorrhagic stroke patients. Methods: Data from all patients admitted to US hospitals between 2008 and 2011 with a primary discharge diagnosis of hemorrhagic stroke [intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH)] were identified by ICD-9 codes (ICH: 431; SAH: 430). In separate models for ICH and SAH using logistic regression, the odds ratio (OR) and 95% confidence intervals (CI) for in-hospital mortality and good outcome (discharge home or inpatient rehabilitation) among transfer vs. non-transfers were estimated, after adjusting for potential confounders. Results: Of 290,395 patients with ICH, 48,749 (16.8%) arrived by inter-hospital transfer; for SAH, 25,726 (33%) of 78,156 were transfers. In-hospital mortality was lower among ICH transfers (21.2% vs. 23.2%; p=0.004). In adjusted analyses, in-hospital mortality was not significantly different (p=0.20) while discharge to home or inpatient rehabilitation was more likely among transferred ICH patients (OR 1.1, 95% CI 1.0-1.2, p=0.05). In-hospital mortality was lower for SAH transfers (17.4% vs. 22.9%, p<0.001) and remained significant in adjusted analyses (OR 0.7, 95% CI 0.6-0.8). Transferred SAH patients were also more likely to be discharged to home or inpatient rehabilitation (OR 1.2, 95% CI 1.1-1.4, p<0.001). Coiling and clipping procedures were significantly more common in SAH transferred patients while cerebral angiography, mechanical ventilation and gastrostomy were significantly higher in both ICH and SAH transfer patients. Conclusion: While ICH patients arriving by transfer have similar mortality as non-transfers, they are more likely to be discharged to home or acute rehabilitation. For SAH, transfer confers both mortality and outcome benefit. Definitive surgical treatments and aggressive medical supportive care at receiving hospitals may mediate the benefits of inter-hospital transfer in hemorrhagic stroke patients.

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