Risk Factors For 30-day Readmission Research Articles

Risk factors of 90-day rehospitalization following discharge of pediatric patients hospitalized with mycoplasma Pneumoniae pneumonia

BackgroundAmong pediatric patients hospitalized for Mycoplasma pneumoniae pneumonia (MPP), the risk factors for 90-day readmission after discharge is undefined.MethodsWe conducted a retrospective observational study of patients <14 years of age who were discharged with a diagnosis of MPP between January 2016 and February 2017. We collected clinical, laboratory and radiographic variables at the time of initial admission. We assessed pneumonia-related readmission within 90-day after discharge. Risk factors independently associated with rehospitalization were identified using multiple logistic regression models.ResultsOf the 424 MPP hospitalizations, 48 (11.3%) were readmitted within 90 days and were mainly diagnosed with pneumonia. Patients with younger age or coinfection with influenza A were more likely to be readmitted. In addition, compared with children without readmission, the readmission ones showed different clinical and laboratory characteristics at the index hospital admission. Multiple logistic regression analysis identified age (OR 0.815, 95%CI 0.706–0.940) and body temperature (OR 0.659, 95%CI 0.518–0.839) were significantly associated with lower risk of 90-day readmission. Coinfection with influenza was independently associated with a greater likelihood of 90-day readmission (OR 4.746, 95%CI 1.191–18.913).ConclusionsReadmission after MPP are common and is related to patients’ age, body temperature and influenza A coinfection during initial hospital stay, indicating potential targets could be noticed to reduce the rehospitalization after pediatric MPP.

802 Risk Factors for 90-Day Readmission Among Hospitalized Patients With Ulcerative Colitis

INTRODUCTION: The hospitalization of a patient with an ulcerative colitis (UC) flare reflects a severe disease state and is a significant contributor to the overall costs of care. Thus, understanding which factors influence the likelihood of readmission among patients hospitalized for UC is critical to providing high quality, low cost care. This study aims to evaluate which factors for patients admitted with UC are associated with an increased risk for 90-day readmission. METHODS: We designed a retrospective study including all patients 18 years or older with an admission for ulcerative colitis at the University of Chicago Medical Center between 1/1/2013 and 4/1/2018. Cases of ulcerative colitis were identified using the ICD-9 code 556.X and ICD-10 code K51.X and separately reviewed based on clinical, radiographic, histologic and endoscopic information. Data was analyzed using a Wilcoxon rank-sum test for continuous variables and Fischer’s exact test for categorical variables. Multivariate logistic regression was performed to identify independent risk factors for 90-day readmission. RESULTS: 1,455 admissions were reviewed. 1,046 were excluded for age &lt; 18 (n = 102), diagnosis of Crohn’s disease (n = 42), colitis other than UC (n = 13), history of colectomy (n = 245), admissions unrelated to a UC flare (n = 430), planned surgical procedures (n = 199) and other (i.e. duplicate records, leaving against medical advice; n = 19). An additional 149 were removed for being rehospitalizations (n = 103), absence of 90 day follow up (n = 42). Of the 260 patients remaining, 48 patients (18%) were re-admitted to the hospital within 90 days. Factors associated with re-admission on univariate analysis included: history of parenteral nutrition use prior to colectomy (17.1% vs 6.2%, P = 0.036), use of steroids as an outpatient prior to admission (77.1% vs 57.1%, P = 0.013), and mean units of blood transfused during hospitalization (0.46 vs 0.25, P = 0.006). After controlling for factors in univariate analysis, only outpatient steroid use prior to admission was associated with increased risk of 90-day readmission (OR 3.52; 95% CI 1.32-9.33) (Table 1). CONCLUSION: Of the factors studied, only steroid use prior to admission was an independent risk factor for readmission. Additional factors related to readmission risk throughout the hospitalization to include laboratory and vital sign trends may offer additional insights into the risk of readmission.

Risk factors for 90-day readmission and return to the operating room following abdominal operations for Crohn’s disease

BackgroundThis study aimed to determine timing and risk factors for 30- and 90-day unplanned hospital readmissions and return to the operating room. MethodsRetrospective case series, including consecutive adult patients with Crohn’s disease, undergoing a major abdominal surgical procedure during a 3.5-year inclusion period was performed. The primary outcomes were 0- to 30-day and 30- to 90-day readmission and return to the operating room rates. Univariate and multivariable risk factors for both outcomes at 30 and 90 days were assessed through Cox regression analysis. ResultsOf 680 included patients with Crohn’s disease, 89 (13.1%) were readmitted within 30 days, 55 (8.1%) within 30–90 days, and 11 (1.6%) in both follow-up periods for a combined 90-day readmission rate of 24.4% (n = 166). Multivariable risk factors for 30-day readmissions were type of procedure performed, corticosteroid use (hazard ratio [HR] 1.71, P = .01), younger age (HR 0.98 per year, P = .01), and prolonged disease duration (HR 1.03 per year, P = .03). No significant risk factors identified for 30- to 90-day readmissions. By 90 days, 76 patients (11.2%) had a return to the operating room (of which 8.8% was within 30 days). Risk factors for 30-day return to the operating room included tobacco use (HR 1.86, P = .04), diabetes (HR 3.30, P = .01), corticosteroid use (HR 3.51, P <.001), and preoperative immunomodulator therapy (HR 2.70, P < .001). ConclusionType of surgery, corticosteroid use, younger age, and prolonged disease duration were associated with 30-day hospital readmission, and tobacco use, diabetes, corticosteroid use, and preoperative immunomodulator therapy were risk factors for 30-day return to the operating room. Postoperative biologic therapy did not increase hospital readmission or return to operating room rates within 90 days of surgery.

Rate of Risk Factors for and Interventions to Reduce Hospital Readmission in Patients With Inflammatory Bowel Diseases

We investigated 30- and 90-day rates and causes of, risk factors for, and interventions to reduce hospital readmission in patients who received medical treatment for inflammatory bowel diseases (IBD). We performed a systematic search of publications through July 1, 2018 for studies of rates of hospital readmission and associated causes and risk factors in patients who received medical treatments for IBD. Our final analysis included 17 cohort studies (6324 patients) of hospitalized adults with IBD who had received medical treatment, along with reported readmission rates with detailed chart review. We performed random effects meta-analysis to estimate 30- and 90-day rates of readmission and identified causes and risk factors associated with readmission. We also performed qualitative analyses of studies that focused on interventions to reduce readmission. Overall, the 30-day rate of readmission was 18.1% (95% CI, 14.4-22.4) and the 90-day rate was 26.0% (95% CI, 22.7-29.6). On meta-regression, studies with higher proportions of patients with ulcerative colitis than Crohn's disease reported higher risks for readmission. Most common reasons for readmission were IBD flare, infection, or complications from unplanned surgeries during hospitalizations. Consistent risk factors for 30-day readmission were admission for pain control (odds ratio [OR], 2.27; 95% CI, 1.69-3.03), need for total parenteral nutrition on discharge (OR, 2.13; 95% CI, 1.36-3.35), and prior or unplanned surgery during admission (OR, 3.11; 95% CI, 2.27-4.25). Only 1 study focused on interventions (specialized inpatient IBD service) to reduce risk of readmission. Overall 30- and 90-day rates of readmission for patients who received medical treatment for IBD are 18.1% and 26.0%, respectively. IBD flares and infections are common reasons for readmission, and inadequate pain control and need for parenteral nutrition were common risk factors. Interventional studies to reduce risk of readmission are needed.

Patient-related risk factors for unplanned 30-day readmission following total knee arthroplasty: a protocol for a systematic review and meta-analysis

BackgroundOsteoarthritis is a debilitating condition as well as a growing global health problem, and total knee arthroplasty is an effective treatment for advanced stages of disease. Unplanned 30-day hospital readmission is an indicator of complications, which is a significant financial burden on healthcare systems. The objective is to perform a systematic review of patient-related factors associated with unplanned 30-day readmission following total knee arthroplasty. This information will inform future strategies to improve health outcomes after knee arthroplasty surgery.MethodsMEDLINE and EMBASE will be systematically searched using a comprehensive search strategy. Studies of higher quality than case series will be included, in order to optimise the quality of the findings of this review. We will include studies reporting on patient-related risk factors for unplanned 30-day readmission following primary or revision total knee arthroplasty for any indication. Case series will be excluded, as will studies reporting exclusively on intraoperative, clinician, hospital, and health system risk factors. The reference lists of selected papers will then be screened for any additional literature. Two reviewers will independently apply stringent eligibility criteria to titles, abstracts, and full texts of studies identified in the literature search. They will then extract data from the final list of selected papers according to an agreed-upon taxonomy and vocabulary of the data to be extracted. Assessment of risk of bias and quality of evidence will then take place. Finally, the effect size of each identified risk factor will be determined; meta-analysis will be performed where adequate data is available.DiscussionThe findings of this review and subsequent meta-analysis will aid clinicians as they seek to understand the risk factors for 30-day readmission following total knee arthroplasty. Clinicians and patients will be able to use this information to align expectations of the postoperative course, which will enhance the recovery process, and aid in the development of strategies to mitigate identified risks. Another purpose of this review is to assist policy-makers in developing quality indicators for care and provide insights into the drivers of health costs.Systematic review registrationPROSPERO CRD42019118154.

48. Identification of risk factors for readmission risk in patients undergoing ACDF: a predictive risk scale

BACKGROUND CONTEXT Anterior cervical discectomy and fusion (ACDF) is the most common surgical treatment for a variety of cervical disk pathologies. With the Center for Medicare and Medicaid Services (CMS) selecting readmissions as a key measure of health care quality, increasing focus has been generated on the topic of reducing readmissions. PURPOSE The objective of this study was to analyze readmission rates in patients across several large state databases, analyze which factors were associated with risk of readmission, and develop a numeric scale for clinicians to utilize for prediction of readmission risk. STUDY DESIGN/SETTING Retrospective cohort study. PATIENT SAMPLE A total of 91,550 ACDF surgeries were recorded in the State Inpatient Database (SID) of NY and CA between 2006 and 2014, which made up the derivation cohort to identify risk factors. There were 87,655 ACDF surgeries recorded in the SID from FL and WA over the same time period, making up the validation cohort. OUTCOME MEASURES Readmission status within 30 days and goodness-of-fit of regression curve after application of scale to the validation cohort. METHODS Risk factors for readmission were identified using univariate and multivariate regression analysis of the derivation cohort. After identification of risk factors, odds ratios were then used to generate a predictive scale that was tested utilizing the validation cohort. An exponential regression model was applied to determine the goodness-of-fit of the scale to the readmission risk in the validation cohort. RESULTS Overall readmission rates within 30 days of discharge were 5.68% and 5.29% in the derivation and validation cohorts, respectively. In both cohorts, patients with renal failure and congestive heart failure were readmitted most often. On multivariate analysis of the derivation cohort, age greater than 80 years (OR, 1.74) male gender (OR, 1.16), Medicaid Insurance (OR, 1.99), Medicare Insurance (OR, 1.72), self-pay insurance (OR, 1.42), anemia (OR, 1.45), chronic lung disease (OR, 1.23), coagulopathy (OR, 1.42), depression (OR, 1.15), diabetes (OR, 1.24), fluid and electrolyte disorder (OR, 1.63), hypertension (OR, 1.09), liver disease (OR, 1.34), and renal failure (OR, 1.79) were found to be statistically significant predictors for readmission. These factors were incorporated into a numeric risk scale that, when tested on the validation cohort, could explain 95.5% of the variability in readmission rate. CONCLUSIONS Overall 30-day readmission following ACDF surgery was 5-6%. Factors including advanced age, male gender, Medicaid insurance, Medicare insurance, anemia, lung disease, congestive heart failure, coagulopathy, depression, diabetes, electrolyte disorder, hypertension, liver disease, and renal failure were found to be significant risk factors for 30-day readmission following ACDF surgery. A novel risk scale based on these factors may be helpful in identifying patients who require additional optimization to reduce perioperative morbidity. FDA DEVICE/DRUG STATUS This abstract does not discuss or include any applicable devices or drugs.

The prevalence of 30-day readmission after acute myocardial infarction: A systematic review and meta-analysis.

ObjectiveThe 30‐day readmission is associated with increased medical costs, which has become an important quality metric in several medical institutions. This current study is aimed at clarifying the prevalence, the underlying risk factors, and reasons of the 30‐day readmission after acute myocardial infarction (AMI).MethodsPubMed, Cochrane Library, and EMBASE were systematically searched to identify eligible studies. Random‐effect models were employed to perform pooled analyses. Means and 95% confidence intervals (CIs) were used to estimate prevalence and reasons for 30‐day readmission. We also used Odds ratios (ORs) to explore the potential significant predictors of risk factors of 30‐day readmission after AMI. Potential publication bias was assessed using funnel plot and Begg'test.ResultsA total of 14 relevant studies were included in this systematic review and meta‐analysis. The pooled 30‐day readmission rate of AMI was 12% (95% CI 0.11‐0.14). Acute coronary syndrome (ACS), angina and acute ischemic heart disease, and heart failure (HF) were the principal cardiovascular reasons of 30‐day readmission. Meanwhile, non‐specific chest pain was regarded as the significant cause among non‐cardiovascular reasons. The common co‐morbidities kidney disease, HF and diabetes mellitus were significant risk factors for 30‐day readmission. No significant publication bias was found by funnel plot and statistical tests.ConclusionsThe 30‐day readmission rate of post‐AMI ranged from 11% to 14% and can be mainly attributed to cardiovascular and non‐cardiovascular events. The common co‐morbidities, such as kidney disease, HF, and diabetes mellitus were significant risk factors for 30‐day readmission.

Readmission Rates and Associated Outcomes for Alcoholic Hepatitis: A Nationwide Cohort Study.

Alcoholic hepatitis (AH) can lead to sudden and severe hepatic decompensation necessitating recurrent hospitalizations. We evaluated the trends, predictors, and healthcare cost burden of AH-related readmissions in the USA. Utilizing the National Readmissions Database 2010-2014, we performed a retrospective longitudinal analysis to identify the index readmission with AH for up to 90days after discharge. Annual trends of 30- and 90-day AH-related readmissions were calculated. Predictors of 30- and 90-day readmission were determined by multivariate logistic regression. Annual healthcare cost burden associated with AH-linked readmissions was estimated. Of the 21,572 (unweighted: 50,769) AH-related hospitalizations, 4917 (22.8%) and 7890 (36.6%) were readmitted in 30 and 90day, respectively, with rates that were statistically unchanged from 2010 to 2014. Predictors of 30-day readmissions included female gender, hepatitis C virus infection, cirrhosis, ascites, acute kidney injury, urinary tract infection, history of bariatric surgery, chronic pancreatitis, and high medical comorbidity index. Acute pancreatitis and palliative care consultation were associated with a lower risk of 30-day readmission. Predictors of 90-day readmission were similar to risk factors for 30-day readmission. From 2010 to 2014, the annual cost (and total hospitalization days) burden increased in 2014 to $164 million (22,244days) and $321 million (42,772days) for 30- and 90-day AH-related readmissions, respectively. Despite relatively stable trends in AH-related readmission, the total LOS and cost has been rising. A target-directed approach with a focus on high-risk subpopulations may help understand the unique challenges associated with the rising cost of AH-related readmissions.

Perioperative Opioid Prescribing Patterns and Readmissions After Total Knee Arthroplasty in a National Cohort of Veterans Health Administration Patients.

Among Veterans Health Administration (VHA) patients who undergo total knee arthroplasty (TKA) nationally, what are the underlying readmission rates and associations with perioperative opioid use, and are there associations with other factors such as preoperative health care utilization? We retrospectively examined the records of 5,514 TKA patients (primary N = 4,955, 89.9%; revision N = 559, 10.1%) over one fiscal year (October 1, 2010-September 30, 2011) across VHA hospitals nationwide. Opioid use was classified into no opioids, tramadol only, short-acting only, or any long-acting. We measured readmission within 30 days and the number of days to readmission within 30 days. Extended Cox regression models were developed. The overall 30-day hospital readmission rate was 9.6% (N = 531; primary 9.5%, revision 11.1%). Both readmitted patients and the overall sample were similar on types of preoperative opioid use. Relative to patients without opioids, patients in the short-acting opioids only tier had the highest risk for 30-day hospital readmission (hazard ratio = 1.38, 95% confidence interval = 1.14-1.67). Preoperative opioid status was not associated with 30-day readmission. Other risk factors for 30-day readmission included older age (≥66 years), higher comorbidity and diagnosis-related group weights, greater preoperative health care utilization, an urban location, and use of preoperative anticonvulsants. Given the current opioid epidemic, the routine prescribing of short-acting opioids after surgery should be carefully considered to avoid increasing risks of 30-day hospital readmissions and other negative outcomes, particularly in the context of other predisposing factors.

Risk Factors for 30-Day Readmission following Knee Arthroscopy.

This study evaluates knee arthroscopy cases in a national surgical database to identify risk factors associated with readmission. The American College of Surgeons National Surgical Quality Improvement Program database was queried from 2012 to 2016 for billing codes related to knee arthroscopy. International Classification of Diseases diagnostic codes were then used to exclude cases which involved infection. Patients were subsequently reviewed for readmission within 30 days. Univariate and multivariate analyses were then performed to identify risk factors associated with 30-day readmission. A total of 69,022 patients underwent knee arthroscopy. The overall 30-day complication rate was 1.75% and the 30-day readmission rate was 0.92%. On multivariate analysis, age > 60 years (odds ratio [OR], 1.29; 95% confidence interval [CI], 1.07-1.55), smoking (OR, 1.40; 95% CI, 1.15-1.70), recent weight loss (OR, 13.22; 95% CI, 5.03-34.73), chronic obstructive pulmonary disease (OR, 1.98; 95% CI, 1.39-2.82), hypertension (OR, 1.48; 95% CI, 1.23-1.78), diabetes (OR, 1.92; 95% CI, 1.40-2.64), renal failure (OR, 10.65; 95% CI, 2.90-39.07), steroid use within 30 days prior to the procedure (OR, 1.91; 95% CI, 1.24-2.94), American Society of Anesthesiologists (ASA) class ≥ 3 (OR, 1.69; 95% CI, 1.40-2.04), and operative time > 45 minutes (OR, 1.68; 95% CI, 1.42-2.00) were identified as independent risk factors for readmission. These findings confirm that the 30-day overall complication (1.75%) and readmission rates (0.92%) are low for knee arthroscopy procedures; however, age > 60 years, smoking status, recent weight loss, chronic obstructive pulmonary disease, hypertension, diabetes, chronic steroid use, ASA class ≥ 3, and operative time > 45 minutes are independent risk factors for readmission.

Sex Differences in Veterans Admitted to the Hospital for Chronic Obstructive Pulmonary Disease Exacerbation.

Rationale: As chronic obstructive pulmonary disease (COPD) prevalence in women has outpaced that in men, COPD-related hospitalization and mortality are now higher in women. Presentation, evaluation, and treatment of COPD differ between women and men. Despite higher smoking rates in Veterans, little work has characterized differences in Veterans with COPD by sex. Objectives: To determine risk factors for 30-day readmission among Veterans hospitalized for COPD exacerbations and how they differed by sex. Methods: We performed a retrospective observational analysis of Veterans receiving primary care in Veterans Health Affairs facilities. We included Veterans Administration-based hospitalizations for Veterans with a COPD exacerbation (identified by International Classification of Disease, Ninth Revision codes) who survived to discharge between fiscal years 2012 and 2015. Primary outcome was 30-day readmission. Predictors ascertained before hospitalization included smoking status (current, former, never), pulmonary function testing, pulmonary medication prescriptions, and medical and psychiatric comorbidities (identified by International Classification of Disease, ninth revision codes). We created combined and sex-stratified multivariate logistic regression models to identify associations with 30-day readmission. Results: Our sample included 48,888 Veterans (4% women). Compared with men, women Veterans were younger, more likely to be nonwhite, and differed in smoking status. Women were more likely to have asthma, drug use, and several psychiatric comorbidities. Before hospitalization, women were less likely to have pulmonary function testing (76% vs. 78%; P = 0.01) or be treated with antimuscarinic (43% vs. 48%) or combined long-acting bronchodilator/inhaled corticosteroid (61% vs. 64%) inhalers. Women were more likely to receive nicotine-replacement therapy (all P < 0.01). Women had shorter length of stay (median days, 2 vs. 3; P = 0.04) and lower 30-day readmission rate (20% vs. 22%; P = 0.01). In adjusted models including both sexes, age, antimuscarinic use, comorbidities, and diagnosis of drug or alcohol use were associated with readmission; there was no association with sex and readmission risk. In models stratified by sex, associations were similar between women and men. Conclusions: This study suggests differences between women and men hospitalized for COPD regarding presentation, evaluation, and management. Readmission is strongly influenced by comorbidities, suggesting individualized and comprehensive case management may reduce readmission risk for women and men with COPD.

Hospital admission and readmission among homeless patients with neurologic disease.

To characterize the most common neurologic diagnoses leading to hospitalization for homeless compared to housed individuals and to assess whether homelessness is an independent risk factor for 30-day readmission after an admission for a neurologic illness. We performed a retrospective serial cross-sectional study using data from the Healthcare Cost and Utilization Project California State Inpatient Database from 2006 to 2011. Adult patients with a primary neurologic discharge diagnosis were included. The primary outcome was 30-day readmission. We used multilevel logistic regression to examine the association between homelessness and readmission after adjustment for patient factors. We identified 1,082,347 patients with a neurologic primary diagnosis. The rate of homelessness was 0.37%. The most common indications for hospitalization among homeless patients were seizure and traumatic brain injury, both of which were more common in the homeless compared to housed population (19.3% vs 8.1% and 31.9% vs 9.2%, respectively, p < 0.001). A multilevel mixed-effects model controlling for patient age, sex, race, insurance type, comorbid conditions, and clustering on the hospital level found that homelessness was associated with increased 30-day readmission (odds ratio 1.5, 95% confidence interval 1.4-1.6, p < 0.001). This association persisted after this analysis was repeated within specific diagnoses (patients with epilepsy, trauma, encephalopathy, and neuromuscular disease). The most common neurologic reasons for admission among homeless patients are seizure and traumatic brain injury; these patients are at high risk for readmission. Future interventions should target the drivers of readmissions in this vulnerable population.

Variations in Nationwide Readmission Patterns after Umbilical Hernia Repair

Up to one in three readmissions occur at a different hospital and are thus missed by current quality metrics. There are no national studies examining 30-day readmission, including to different hospitals, after umbilical hernia repair (UHR). We tested the hypothesis that a large proportion were readmitted to a different hospital, that risk factors for readmission to a different hospital are unique, and that readmission costs differed between the index and different hospitals. The 2013 to 2014 Nationwide Readmissions Database was queried for patients admitted for UHR, and cost was calculated. Multivariate logistic regression identified risk factors for 30-day readmission at index and different hospitals. There were 102,650 admissions for UHR and 8.9 per cent readmissions, of which 15.8 per cent readmissions were to a different hospital. The most common reason for readmission was infection (25.8%). Risk factors for 30-day readmission to any hospital include bowel resection, index admission at a for-profit hospital, Medicare, Medicaid, and Charlson Comorbidity Index ≥ 2. Risk factors for 30-day readmission to a different hospital include elective operation, drug abuse, discharge to a skilled nursing facility, and leaving against medical advice. The median cost of initial admission was higher in those who were readmitted ($16,560 [$10,805-$29,014] vs $11,752 [$8151-$17,724], P < 0.01). The median cost of readmission was also higher among those readmitted to a different hospital ($9826 [$5497-$19,139] vs $9227 [$5211-$16,817], P = 0.02). After UHR, one in six readmissions occur at a different hospital, have unique risk factors, and are costlier. Current hospital benchmarks fail to capture this subpopulation and, therefore, likely underestimate UHR readmissions.

MON-LB003 Risk Factors For 30-day Readmission After Diabetic Ketoacidosis Using Nationwide Readmissions Database

Introduction: Nearly 1 in 10 individuals in the United States have Diabetes Mellitus [1]. One potential preventable complication is Diabetic Ketoacidosis (DKA). Better understanding of the risk factors for readmissions of DKA will allow the development and implementation of specific patient-centered interventions to decrease future readmissions. We sought out to determine the 30-day all-cause readmission rate for adults (age > 18) admitted with DKA and the associated predictors of readmissions. Methods: We utilized Agency of Healthcare Research and Quality’s (AHRQ) Health Care Utilization Project’s (HCUP) 2014 Nationwide Readmission Database which includes 14.9 Million discharges across 22 states accounting for 51.2% of the total U.S. population and 49.3% of all U.S. hospitalizations to identify admissions with a DKA related ICD-9 diagnosis (250.10, 250.11, 250.12, and 250.13) associated with both Type 1 and Type 2 Diabetes Mellitus. Applicable admissions were all adults (age > 18)with an index hospitalization between January 1 and November 30, 2014. Patients who died during index admission and those with missing covariates were excluded. All-cause readmission including DKA within 30-days of DKA were analyzed. Statistical analysis was completed with Stata 15 (StataCorp, College Station, TX) with p-values < 0.05 considered statistically significant. A univariate and multivariate analysis of data collected was completed using both odds ratio and chi square test for significance. Predictors for readmission were determined using a multivariate logistic regression model following sequential step-wise elimination of covariates including demographics, comorbidities, hospital characteristics, length of stay (LOS) for index admission, and the modified Elixhauser Comorbidity Index. Results: A total of 66,896 patients met criteria for DKA related index admission. Of which, there was 12,954 (19.36%) all-cause readmissions within 30-days including 7,167 were again for DKA accounting for 55.32% of all readmissions. Multivariate analysis showed that the predictors of 30-day readmission were younger age, (with adults age <35 the highest risk), female, disposition at discharge to short term hospital or home health or against medical advice), from a zip code with the lowest income quartile, Medicare as payer, lengthier LOS, presence of comorbidities, absence of obesity, and presence of renal failure. Conclusion: Almost 1 in 5 (19.36%) patients discharged after a DKA admission were readmitted within 30 days. Physician awareness and development of targeted interventions for individuals with risk factors and high-risk for readmissions may help decrease future morbidity and mortality.

Risk factors for 90-day reoperation and readmission after lumbar surgery for lumbar spinal stenosis

The objective of this study was to evaluate the incidence and risk factors for 90-day readmission and reoperation after elective surgery for lumbar spinal stenosis (LSS). The authors performed a retrospective consecutive cohort analysis of patients undergoing posterior lumbar decompression with or without fusion for LSS with claudication from January 2014 through December 2015. Data were collected on 1592 consecutive patients. The mean age at surgery was 67.4 ± 10.1 years and 45% of patients were female. The 90-day reoperation rate was 4.7%, and 69.3% of the reoperations occurred within the first 30 days. The 90-day readmission rate was 7.2%. Multivariable analysis showed that postoperative development of a surgical site infection (SSI; odds ratio [OR] 14.09, 95% confidence interval [CI] 7.86–25.18), acute kidney injury (AKI; OR 6.76, 95% CI 2.39–19.57), and urinary tract infection (UTI; OR 3.96, 95% CI 2.43–6.37), as well as a history of congestive heart failure (CHF; OR 3.03, 95% CI 1.69–5.28), were significant risk factors for readmission within 90 days. Male sex (OR 0.60, 95% CI 0.38–0.92) was associated with decreased odds for readmission. With regards to reoperation, development of SSI (OR 25.06, 95% CI 13.54–46.51), sepsis (OR 7.63, 95% CI 1.52–40.59), UTI (OR 2.54, 95% CI 1.31–4.76), and increased length of stay (LOS; OR 1.25, 95% CI 1.17–1.33) were found to be significant risk factors. A subsequent analysis found that morbid obesity (OR 6.99), history of coronary artery disease (OR 2.263), increased duration of surgery (OR 1.004), and LOS (OR 1.07) were significant risk factors for developing an SSI. Overall, this study found rates of 4.7% and 7.2% for reoperation and readmission, respectively, within 90 days: 30.7% of the reoperations and 44.7% of the readmissions occurred beyond the first 30 days. A diagnosis of SSI, AKI, UTI, and history of CHF were significant factors for readmission, while male sex was associated with decreased odds for readmission. A diagnosis of SSI, sepsis, UTI, and increased LOS were found to be significant predictors for reoperation. Understanding 90-day complication rates is imperative because there has been increased discussion and healthcare policy extending the global postoperative window to 90 days. Current literature supports a readmission rate of 3%–9% after spine surgery. However, this literature either is limited to a 30-day window or does not stratify between different types of spine surgeries. AKI = acute kidney injury; BPH = benign prostate hyperplasia; CAD = coronary artery disease; CHF = congestive heart failure; CI = confidence interval; CMS = Centers for Medicare and Medicaid Services; COPD = chronic obstructive pulmonary disease; DM = diabetes mellitus; EBL = estimated blood loss; LOS = length of stay; LSS = lumbar spinal stenosis; OR = odds ratio; POUR = postoperative urinary retention; SSI = surgical site infection; UTI = urinary tract infection.

Risk and Causes of 30-Day Readmissions Following Extracorporeal Membrane Oxygenation Support for Cardiogenic Shock

Purpose Cardiogenic shock (CS) is associated with significant mortality, morbidity and healthcare costs. Extracorporeal membrane oxygenation (ECMO) is increasingly used in CS. Inpatient mortality is high, but readmission risk in survivors is not well studied. We conducted our study to identify risk and causes of 30-day readmission following ECMO. Methods Using the 2016 Healthcare Cost and Utilization Project National Readmission Database, we studied the incidence and causes of 30-day readmissions following ECMO support for CS (January to November 2016). Patients ICD codes . Logistic regression models were used to explore risk factors for 30-day readmissions. Results Out of 62,302 patients admitted for CS, 1490 (2.4%) were supported with ECMO. Median time from admission to ECMO placement was 2 [0-6] days. A total of 661 (44%%) patients survived to discharge. Out of those, 158 (24%) were readmitted within 30 days; (52.5%) occurred within 12 days. Causes of readmissions are shown in figure. Factors associated with 30-day readmissions included (multivariable model): discharge to skilled nursing facility (odds ratio [OR], 3.25; 95% confidence interval (CI) [1.66-6.39], P home health care (OR 2.47; 95% CI [1.31-4.63], P ventricular assist device (OR 2.85; 95% CI [1.52-5.33], P Conclusion Patients with cardiogenic shock who are supported with ECMO have high risk of mortality and 30-day readmission rate following discharge. Identifying patient at high risk of readmission may help targeting resources to improve long-term outcomes.

Risk Factors for 30-Day Readmission of Otolaryngology Patients

Risk Factors for 30-Day Readmission of Otolaryngology Patients

Are Urinary Biomarkers Better Than Acute Kidney Injury Duration for Predicting Readmission?

Acute kidney injury (AKI) is a common complication of cardiac surgery. Postprocedural AKI is a risk factor for 30-day readmission. We sought to examine the association of AKI and kidney injury biomarkers with readmission after cardiac surgery. Patients alive at discharge who underwent cardiac surgery from the Translational Research Investigating Biomarker Endpoints-AKI cohort were enrolled from six medical centers in the United States and Canada. AKI duration was defined as the total number of days AKI was present during index admission (no AKI, 1-2, 3-6, and 7+ days). Preoperative and postoperative urinary levels were collected for interleukin-18, neutrophil gelatinase-associated lipocalin, kidney injury molecule-1, liver-fatty-acid-binding protein, cystatin C, microalbumin, creatinine, and albumin-to-creatinine ratio. Readmission and death events were identified through US (Medicare) and Canadian administrative databases at 30 days and 365 days after discharge. Of 968 patients 15.9% were readmitted or died within 30 days of discharge and 35.9% were readmitted or died within 365 days. AKI duration of 3 to 6 days was significantly associated with 30-day readmission or death (adjusted odds ratio, 1.82%; 95% confidence interval, 1.08-3.05). Patients with AKI duration ≥ 7 days had increased odds of readmission or death at both 30 days (adjusted odds ratio, 2.49%; 95% confidence interval, 1.15-5.43) and 365 days (adjusted odds ratio, 3.67%; 95% confidence interval, 1.73-7.79). Urinary biomarkers had no association with readmission and death. AKI duration ≥ 3 days, and not kidney biomarkers, was strongly associated with readmission or death. These clinical outcomes are potentially due to cardiovascular or hemodynamic causes rather than intrinsic injury to the kidney parenchyma.

Predictors of Adverse Outcomes in the Management of Mandibular Fractures.

Mandibular fractures are the most common isolated facial fractures in the United States. Various risk factors have been associated with increased rates of postoperative complications. However, national outcome reports are limited and data are conflicting. Using a national multi-institutional database, the authors sought to analyze 30-day outcomes after mandibular fracture repair and determine risk factors for complications, readmission, and reoperation. Retrospective review of the American College of Surgeons National Surgical Quality Improvement database was performed to identify patients undergoing surgical treatment of mandibular fractures between 2010 and 2015 using current procedural terminology codes. Primary outcomes included: wound complications, overall complications, as well as readmission and reoperation rates. Multivariate regression analysis was performed to adjust for confounders. A total of 953 patients were eligible for analysis. Mean patient age was 34.5 years, 84% were males, and 50% were active smokers. Wound complications, overall complications, 30-day reoperation, and readmission occurred in 4.0%, 7.9%, 2.2%, and 33% of patients, respectively. Age was a significant risk factor for 30-day readmission (odds ratio [OR] = 1.06, P = 0.01), reoperation (OR = 1.05, P = 0.01), and overall complications (OR = 1.03, P = 0.02) on multivariate analysis, and smoking was a significant risk factor for 30-day reoperation (OR = 4.86, P = 0.03). The analysis identified age as an independent risk factor for readmission, reoperation, and overall complications. Smokers were also nearly 5 times as likely to undergo additional surgery. This is particularly important given that over half of patients were active smokers, highlighting the importance of perioperative patient education and smoking cessation within this population.

Risk factors for 30-day readmission following hip arthroscopy.

Hip arthroscopy is known to be safe with low rates of postoperative complications. The purpose of this study is to evaluate hip arthroscopy cases in a national surgical database to identify risk factors associated with readmission. The American College of Surgeons National Surgical Quality Improvement Program database was queried from 2012 to 2016 for current procedural terminology billing codes related to hip arthroscopy. International Classification of Diseases diagnostic codes were used to exclude cases involving infection, fracture, or open procedures. Univariate and multivariate analyses were performed to identify risk factors associated with 30-day readmission. 1493 patients were identified who had undergone hip arthroscopy. The most common procedures were labral resection or chondroplasty (n = 589, 39.5%) and femoroplasty (n = 527, 35.3%). The 30-day complication rate was 1.7% and the most common complications following the procedure were bleeding (n = 12, 0.8%) superficial infections (n = 5, 0.3%), and returning to the operating room (n = 4, 0.3%). The 30-day readmission rate was 1.3%. On multivariate analysis, hypertension requiring anti-hypertensive medication (odds ratio [OR], 3.5; 95% confidence interval [CI], 1.4-8.7) and chronic corticosteroid or immunosuppressant use (OR 7.2; 95% CI 1.9-26.7) were identified as independent risk factors for readmission. There was no difference in complication rates when hip arthroscopy was performed with isolated femoroplasty (n = 340), isolated acetabuloplasty (n = 103), both (n = 187) or neither (n = 863). These findings confirm that the 30-day readmission (1.3%) and complication rate (1.7%) are low for isolated hip arthroscopy procedures; however, hypertension and chronic steroid use are independent risk factors for readmission. Retrospective comparative study, Level III.