Twenty-year study of in-hospital and postdischarge mortality following emergency general surgical admission.
Ontology highlight
ABSTRACT: Background
Emergency general surgery (EGS) patients have a higher mortality than those having elective surgery. Few studies have investigated changes in EGS-associated mortality over time or explored mortality rates after discharge. The aim of this study was to conduct a comprehensive, population-based analysis of mortality in EGS patients over a 20-year time frame.Methods
This was a cross-sectional study of all adult EGS admissions in Scotland between 1996 and 2015. Data were obtained from national records. Co-morbidities were defined by Charlson Co-morbidity Index, and operations were coded by OPCS-4 classifications. Linear and multivariable logistic regression models were used to evaluate changes over time.Results
Among 1?450?296 patients, the overall inpatient, 30-day, 90-day and 1-year mortality rates were 1·8, 3·8, 6·4 and 12·5 per cent respectively. Mortality was influenced by age at admission, co-morbidity, operation performed and date of admission (all P?P?ConclusionMortality after EGS in Scotland has reduced significantly over the past 20?years. This analysis of medium-term mortality after EGS admission demonstrates strikingly high rates, and postdischarge death rates are higher than is currently appreciated.
SUBMITTER: Ramsay G
PROVIDER: S-EPMC6773630 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Publications
Twenty-year study of in-hospital and postdischarge mortality following emergency general surgical admission.
Ramsay G G Wohlgemut J M JM Jansen J O JO
BJS open 20190709 5
<h4>Background</h4>Emergency general surgery (EGS) patients have a higher mortality than those having elective surgery. Few studies have investigated changes in EGS-associated mortality over time or explored mortality rates after discharge. The aim of this study was to conduct a comprehensive, population-based analysis of mortality in EGS patients over a 20-year time frame.<h4>Methods</h4>This was a cross-sectional study of all adult EGS admissions in Scotland between 1996 and 2015. Data were ob ...[more]
Similar Datasets
Project description:BackgroundThe relationship between postoperative intensive care (ICU) admission following emergency general surgery (EGS) and emergency hospital readmission has not been widely investigated.MethodsRetrospective analysis of registry data for patients undergoing EGS in Scotland, 2005-2007. Exposure of interest was ICU admission status (direct from theatre; indirect after initial care on ward; no ICU admission). The primary outcome was emergency hospital readmission within 30 days of discharge.ResultsThirty-seven thousand one hundred seventy-three patients were included in the analysis. Overall emergency readmission rate was 8% (n = 2983): 2756 (7.8%) in patients without postoperative ICU admission; 155 (12.1%) with direct ICU admission and 65 (14.7%) with indirect ICU admission. Indirect ICU admission was associated with increased hospital readmission rates (HR 1.24 [1.03, 1.49]; p = 0.024) compared with direct ICU admission. ICU admission was associated with increased three-year readmission rates (p = 0.006) and costs (p < 0.001) compared with initial ward care.ConclusionIndirect ICU admission is associated with increased emergency hospital readmission and healthcare costs for patients undergoing EGS.
| S-EPMC6820227 | biostudies-literature
Project description:The association of severe coronavirus disease 2019 (COVID-19) with an increased risk of venous thromboembolism (VTE) has resulted in specific guidelines for its prevention and management. The VTE risk appears highest in those with critical care admission. The need for postdischarge thromboprophylaxis remains controversial, which is reflected in conflicting expert guideline recommendations. Our local protocol provides thromboprophylaxis to COVID-19 patients during admission only. We report postdischarge VTE data from an ongoing quality improvement program incorporating root-cause analysis of hospital-associated VTE (HA-VTE). Following 1877 hospital discharges associated with COVID-19, 9 episodes of HA-VTE were diagnosed within 42 days, giving a postdischarge rate of 4.8 per 1000 discharges. Over 2019, following 18 159 discharges associated with a medical admission; there were 56 episodes of HA-VTE within 42 days (3.1 per 1000 discharges). The odds ratio for postdischarge HA-VTE associated with COVID-19 compared with 2019 was 1.6 (95% confidence interval, 0.77-3.1). COVID-19 hospitalization does not appear to increase the risk of postdischarge HA-VTE compared with hospitalization with other acute medical illness. Given that the risk-benefit ratio of postdischarge thromboprophylaxis remains uncertain, randomized controlled trials to evaluate the role of continuing thromboprophylaxis in COVID-19 patients following hospital discharge are required.
| S-EPMC7483432 | biostudies-literature
Project description:A substantial number of patients treated in emergency general surgery (EGS) services die within a year of discharge. The aim of this study was to analyse causes of death and their relationship to discharge diagnoses, in patients who died within 1 year of discharge from an EGS service in Scotland. This was a population cohort study of all patients with an EGS admission in Scotland, UK, in the year before death. Patients admitted to EGS services between January 2008 and December 2017 were included. Data regarding patient admissions were obtained from the Information Services Division in Scotland, and cross-referenced to death certificate data, obtained from the National Records of Scotland. Of 507 308 patients admitted to EGS services, 7917 died while in hospital, and 52 094 within 1 year of discharge. For the latter, the median survival time was 67 (i.q.r. 21-168) days after EGS discharge. Malignancy accounted for 48 per cent of deaths and was the predominant cause of death in patients aged over 35 years. The cause of death was directly related to the discharge diagnosis in 56.5 per cent of patients. Symptom-based discharge diagnoses were often associated with a malignancy not diagnosed on admission. When analysed by subsequent cause of death, EGS is a cancer-based specialty. Adequate follow-up and close links with oncology and palliative care services merit development.
| S-EPMC8058150 | biostudies-literature
Project description:Diverticulitis is a common diagnosis in the emergency department (ED). Outpatient management of diverticulitis is safe in selected patients, yet the rates of admission and surgical procedures following ED visits for diverticulitis are unknown, as are the predictive patient characteristics. Our goal is to describe trends in admission and surgical procedures following ED visits for diverticulitis, and to determine which patient characteristics predict admission.: We performed a cross-sectional descriptive analysis using data on ED visits from 2006-2011 to determine change in admission and surgical patterns over time. The Nationwide Emergency Department Sample database, a nationally representative administrative claims dataset, was used to analyze ED visits for diverticulitis. We included patients with a principal diagnosis of diverticulitis (ICD-9 codes 562.11, 562.13). We analyzed the rate of admission and surgery in all admitted patients and in low-risk patients, defined as age <50 with no comorbidities (Elixhauser). We used hierarchical multivariate logistic regression to identify patient characteristics associated with admission for diverticulitis.Fryom 2006 to 2011 ED visits for diverticulitis increased by 21.3% from 238,248 to 302,612, while the admission rate decreased from 55.7% to 48.5% (-7.2%, 95% CI [-7.78 to -6.62]; p<0.001 for trend). The admission rate among low-risk patients decreased from 35.2% in 2006 to 26.8% in 2011 (-8.4%, 95% CI [-9.6 to -7.2]; p<0.001 for trend). Admission for diverticulitis was independently associated with male gender, comorbid illnesses, higher income and commercial health insurance. The surgical rate decreased from 6.5% in 2006 to 4.7% in 2011 (-1.8%, 95% CI [-2.1 to -1.5]; p<0.001 for trend), and among low-risk patients decreased from 4.0% to 2.2% (-1.8%, 95% CI [-4.5 to -1.7]; p<0.001 for trend).From 2006 to 2011 ED visits for diverticulitis increased, while ED admission rates and surgical rates declined, with comorbidity, sociodemographic factors predicting hospitalization. Future work should focus on determining if these differences reflect increased disease prevalence, increased diagnosis, or changes in management.
| S-EPMC4944797 | biostudies-other
Project description:BACKGROUND:Whether types of hospitals with high readmission rates also have high overall postdischarge acute care utilization (including emergency department and observation care) is unknown. DESIGN:Cross-sectional analysis. SUBJECTS:Nonfederal United States acute care hospitals. MEASURES:Using methodology established by the Centers for Medicare & Medicaid Services, we calculated each hospital's "excess days in acute care" for fee-for-service (FFS) Medicare beneficiaries aged over 65 years discharged after hospitalization for acute myocardial infarction, heart failure (HF), or pneumonia, representing the mean difference between predicted and expected total days of acute care utilization in the 30 days following hospital discharge, per 100 discharges. We assessed the multivariable association of 8 hospital characteristics with excess days in acute care and the proportion of hospitals with each characteristic that were statistical outliers (95% credible interval estimate does not include 0). RESULTS:We included 2184 hospitals for acute myocardial infarction [228 (10.4%) better than expected, 549 (25.1%) worse than expected], 3720 hospitals for HF [484 (13.0%) better and 840 (22.6%) worse], and 4195 hospitals for pneumonia [673 (16.0%) better, 1005 (24.0%) worse]. Results for all conditions were similar. Worse than expected outliers for pneumonia included: 18.8% of safety net hospitals versus 26.1% of nonsafety net hospitals; 16.7% of public hospitals versus 33.1% of for-profit hospitals; 19.5% of nonteaching hospitals versus 52.2% of major teaching hospitals; 7.9% of rural hospitals versus 42.1% of large urban hospitals; 5.9% of hospitals with 24-<50 beds versus 58% of hospitals with >500 beds; and 29.0% of hospitals with nurse-to-bed ratios >1.0-1.5 versus 21.7% of hospitals with ratios >2.0. CONCLUSIONS:Including emergency department and observation stays in measures of postdischarge utilization produces similar results as measuring only readmissions in that major teaching, urban and for-profit hospitals still perform disproportionately poorly versus nonteaching or public hospitals. However, it enables identification of more outliers and a more granular assessment of the association of hospital factors and outcomes.
| S-EPMC6170884 | biostudies-literature
Project description:BACKGROUND & AIMS:It is unclear whether mortality from upper gastrointestinal hemorrhage is changing: any differences observed might result from changes in age or comorbidity of patient populations. We estimated trends in 28-day mortality in England following hospital admission for gastrointestinal hemorrhage. METHODS:We used a case-control study design to analyze data from all adults administered to a National Health Service hospital, for upper gastrointestinal hemorrhage, from 1999 to 2007 (n=516,153). Cases were deaths within 28 days of admission (n=74,992), and controls were survivors to 28 days. The 28-day mortality was derived from the linked national death register. A logistic regression model was used to adjust trends in nonvariceal and variceal hemorrhage mortality for age, sex, and comorbidities and to investigate potential interactions. RESULTS:During the study period, the unadjusted, overall, 28-day mortality following nonvariceal hemorrhage was reduced from 14.7% to 13.1% (unadjusted odds ratio, 0.87; 95% confidence interval: 0.84-0.90). The mortality following variceal hemorrhage was reduced from 24.6% to 20.9% (unadjusted odds ratio, 0.8; 95% confidence interval: 0.69-0.95). Adjustments for age and comorbidity partly accounted for the observed trends in mortality. Different mortality trends were identified for different age groups following nonvariceal hemorrhage. CONCLUSIONS:The 28-day mortality in England following both nonvariceal and variceal upper gastrointestinal hemorrhage decreased from 1999 to 2007, and the reduction had been partly obscured by changes in patient age and comorbidities. Our findings indicate that the overall management of bleeding has improved within the first 4 weeks of admission.
| S-EPMC3194090 | biostudies-literature
Project description:ObjectiveMost studies based on state and nationwide registries evaluating perioperative outcome after carotid endarterectomy (CEA) rely on hospital discharge data only. Therefore, the true 30-day complication risk after carotid revascularization may be underestimated.MethodsWe used the National Surgical Quality Improvement Program database 2005-2010 to assess the in-hospital and postdischarge rate of any stroke, death, cardiac event (new Q-wave myocardial infarction or cardiac arrest), and combined stroke/death and combined adverse outcome (S/D/CE) at 30 days following CEA. Multivariable analyses were used to identify predictors for in-hospital and postdischarge events separately, and in particular, those that predict postdischarge events distinctly.ResultsA total of 35,916 patients who underwent CEA during 2005-2010 were identified in the National Surgical Quality Improvement Program database; 59% were male, median age was 72 years, and 44% had a previous neurologic event. Thirty-day stroke rate was 1.6% (n = 591), death rate was 0.8% (n = 272), cardiac event rate was 1.0% (n = 350), stroke or death rate was 2.2% (n = 794), and combined S/D/CE rate was 2.9% (n = 1043); 33% of strokes, 53% of deaths, 32% of cardiac events, 40% of combined stroke/death, and 38% of combined S/D/CE took place after hospital discharge. Patients with a prior stroke or transient ischemic attack had similar proportions of postdischarge events compared with patients without prior symptoms. Independent predictors for postdischarge events, but not for in-hospital events were female sex (stroke [odds ratio (OR), 1.6; 95% confidence interval (CI), 1.2-2.1] and stroke/death [OR, 1.4; 95% CI, 1.1-1.7]), renal failure (stroke [OR, 3.0; 95% CI, 1.4-6.2]) and chronic obstructive pulmonary disease (death [OR, 2.5; 95% CI, 1.6-3.7], stroke/death [OR, 1.8; 95% CI, 1.4-2.4], and S/D/CE [OR 1.8, 95% CI 1.4-2.3]).ConclusionsWith 38% of perioperative adverse events after CEA happening posthospitalization, regardless of symptoms status, we need to be alert to the ongoing risks after discharge particularly in women, patients with renal failure, or chronic obstructive pulmonary disease. This emphasizes the need for reporting and comparing 30-day adverse event rates when evaluating outcomes for CEA, or comparing carotid stenting to CEA.
| S-EPMC3669222 | biostudies-literature
Project description:Background: Far less is known about the reasons for hospitalization or mortality during and after hospitalization among school-aged children than among under-fives in low- and middle-income countries. This study aimed to describe common types of illness causing hospitalisation; inpatient mortality and post-discharge mortality among school-age children at Kilifi County Hospital (KCH), Kenya. Methods: A retrospective cohort study of children 5-12 years old admitted at KCH, 2007 to 2016, and resident within the Kilifi Health Demographic Surveillance System (KHDSS). Children discharged alive were followed up for one year by quarterly census. Outcomes were inpatient and one-year post-discharge mortality. Results: We included 3,907 admissions among 3,196 children with a median age of 7 years 8 months (IQR 74-116 months). Severe anaemia (792, 20%), malaria (749, 19%), sickle cell disease (408, 10%), trauma (408, 10%), and severe pneumonia (340, 8.7%) were the commonest reasons for admission. Comorbidities included 623 (16%) with severe wasting, 386 (10%) with severe stunting, 90 (2.3%) with oedematous malnutrition and 194 (5.0%) with HIV infection. 132 (3.4%) children died during hospitalisation. Inpatient death was associated with signs of disease severity, age, bacteraemia, HIV infection and severe stunting. After discharge, 89/2,997 (3.0%) children died within one year during 2,853 child-years observed (31.2 deaths [95%CI, 25.3-38.4] per 1,000 child-years). 63/89 (71%) of post-discharge deaths occurred within three months and 45% of deaths occurred outside hospital. Post-discharge mortality was positively associated with weak pulse, tachypnoea, severe anaemia, HIV infection and severe wasting and negatively associated with malaria. Conclusions: Reasons for admissions are markedly different from those reported in under-fives. There was significant post-discharge mortality, suggesting hospitalisation is a marker of risk in this population. Our findings inform guideline development to include risk stratification, targeted post-discharge care and facilitate access to healthcare to improve survival in the early months post-discharge in school-aged children.
| S-EPMC7656274 | biostudies-literature
Project description:BACKGROUND:As populations age, more elderly patients will undergo surgery. Frailty and complications are considered to increase in-hospital cost in older adults, but little is known on costs following discharge, particularly those borne by the patient. We examined risk factors for increased cost and the type of costs accrued following discharge in elderly surgical patients. METHODS:Acute abdominal surgery patients aged 65 years and older were prospectively enrolled. We assessed baseline clinical characteristics, including Clinical Frailty Scale (CFS) scores. We calculated 6-month cost (in Canadian dollars) from patient-reported use following discharge according to the validated Health Resource Utilization Inventory. Primary outcomes were 6-month overall cost and cost for health care services, medical products and lost productive hours. Outcomes were log-transformed and assessed in multivariable generalized linear and zero-inflated negative binomial regressions and can be interpreted as adjusted ratios (AR). Complications were assessed according to Clavien-Dindo classification. RESULTS:We included 150 patients (mean age 75.5 ± 7.6 yr; 54.1% men) in our analysis; 10.8% had major and 43.2% had minor complications postoperatively. The median 6-month overall cost was $496 (interquartile range $140-$1948). Disaggregated by cost type, frailty independently predicted increasing costs of health care services (AR 1.76, 95% confidence interval [CI] 1.43-2.18, p < 0.001) and medical products (AR 1.61, 95% CI 1.15-2.25, p = 0.005), but decreasing costs in lost productive hours (AR 0.39, p = 0.002). Complications did not predict increased cost. CONCLUSION:Frail patients accrued higher health care services and product costs, but lower costs from lost productive hours. Interventions in elderly surgical patients should consider patient-borne cost in older adults and lost productivity in less frail patients. TRIAL REGISTRATION:NCT02233153 (clinicaltrials.gov).
| S-EPMC5785285 | biostudies-literature
Project description:OBJECTIVES:To identify risk factors for inpatient mortality after patients' emergency admission and to create a novel model predicting inpatient mortality risk. DESIGN:This was a retrospective observational study using data extracted from electronic health records (EHRs). The data were randomly split into a derivation set and a validation set. The stepwise model selection was employed. We compared our model with one of the current clinical scores, Cardiac Arrest Risk Triage (CART) score. SETTING:A single tertiary hospital in Singapore. PARTICIPANTS:All adult hospitalised patients, admitted via emergency department (ED) from 1 January 2008 to 31 October 2017 (n=433 187 by admission episodes). MAIN OUTCOME MEASURE:The primary outcome of interest was inpatient mortality following this admission episode. The area under the curve (AUC) of the receiver operating characteristic curve of the predictive model with sensitivity and specificity for optimised cut-offs. RESULTS:15 758 (3.64%) of the episodes were observed inpatient mortality. 19 variables were observed as significant predictors and were included in our final regression model. Our predictive model outperformed the CART score in terms of predictive power. The AUC of CART score and our final model was 0.705 (95% CI 0.697 to 0.714) and 0.817 (95% CI 0.810 to 0.824), respectively. CONCLUSION:We developed and validated a model for inpatient mortality using EHR data collected in the ED. The performance of our model was more accurate than the CART score. Implementation of our model in the hospital can potentially predict imminent adverse events and institute appropriate clinical management.
| S-EPMC6773418 | biostudies-literature