Risk Factors For 30-day Readmission Research Articles

The correlation between admission hyperglycemia and 30-day readmission after hip fracture surgery in geriatric patients: a propensity score-matched study.

This study aimed to investigate the association between admission hyperglycemia and 30-day readmission after hip fracture surgery in geriatric patients. This retrospective study included 1253 geriatric hip fracture patients. Patients were categorized into normoglycemia(<6.10 mmol/L) and hyperglycemia groups(≥6.10 mmol/L) based on admission blood glucose. We performed multivariable logistic regression analyses and propensity score matching (PSM) to estimate adjusted odds ratios and 95% confidence intervals for 30-day readmission, controlling for potential confounding factors. An analysis of the dose-dependent association between admission blood glucose and the probability of 30-day readmission was performed. Additional subgroup analysis was conducted to examine the impact of other factors on the relationship between admission blood glucose and 30-day readmission. Patients with hyperglycemia had higher 30-day readmission rates than normoglycemic patients before (19.1% vs 9.7%, p<0.001) and after PSM (18.1% vs 12.3%, p=0.035). Admission hyperglycemia was an independent predictor of increased 30-day readmission risk, with an adjusted odds ratio of 1.57 (95% CI 1.08-2.29, p=0.019) after multivariable regression and 1.57 (95% CI 1.03-2.39, p=0.036) after PSM. A dose-response relationship was observed between higher glucose levels and increased readmission risk. Admission hyperglycemia is an independent risk factor for 30-day readmission after hip fracture surgery in the elderly. Routine glucose testing upon admission and perioperative glycemic control may help reduce short-term readmissions in this vulnerable population.

Development and validation of a nomogram for 30-day readmission after hip fracture surgery in geriatric patients.

30-day readmission after hip fracture surgery in the elderly is common and costly. A predictive tool to identify high-risk patients could significantly improve outcomes. This study aims to develop and validate a risk nomogram for 30-day readmission after hip fracture surgery in geriatric patients. We retrospectively analyzed 1,249 geriatric hip fracture patients (≥60 years) undergoing surgery at Dandong Central Hospital from October 2011 to October 2023. Using a 7:3 ratio, patients were randomly divided into training (n=877) and validation (n=372) sets. Independent risk factors for 30-day readmission were identified using LASSO regression and logistic regression in the training set. A nomogram was constructed using the identified predictors. Finally, the C-index, ROC curve, calibration curve, and decision curve analysis were used to validate the model in the training and validation sets respectively. The nomogram was developed based on the 8 predictors of age, prior stroke, chronic liver disease, treatment, uric acid (UA), total protein (TP), albumin (ALB), and pneumonia that were found to be independently associated with 30-day readmission. The nomogram showed good discrimination with a C-index of 0.88 in the training set and 0.84 in the validation set. Calibration curves exhibited good agreement between predicted and observed outcomes. Decision curve analysis demonstrated clinical utility. We developed and validated a nomogram incorporating eight clinical variables to accurately predict the individualized risk of 30-day readmission after hip fracture surgery in elderly patients. The model demonstrated favorable discrimination, calibration, and clinical utility. It can help to identify high-risk patients needing additional interventions to prevent avoidable hospital readmissions.

Risk factors for rehospitalization within 90 days in patients with total joint replacement: A meta-analysis.

The risk factors influencing the readmission within 90 days following total joint replacement (TJR) are complex and heterogeneous, and few systematic reviews to date have focused on this issue. Web of Science, Embase, PubMed, and Chinese National Knowledge Infrastructure databases were searched from the inception dates to December 2022. Relevant, published studies were identified using the following keywords: risk factors, rehospitalization, total hip replacement, total knee replacement, total shoulder replacement, and total joint replacement. All relevant data were collected from the studies that meet the inclusion criteria. The methodological quality of the studies was assessed using the Newcastle-Ottawa Scale (NOS). Of 68,336 patients who underwent TJR, 1,269,415 (5.4%) were readmitted within 90 days. High American Society of Anesthesiologists (ASA) class (OR, 1.502; 95%CI:1.405-1.605; P < .001), heart failure (OR,1.494; 95%CI: 1.235-1.754; P < .001), diabetes (OR, 1.246; 95%CI:1.128-1.377; P < .001), liver disease (OR, 1.339; 95%CI:1.237-1.450; P < .001), drinking (OR, 1.114; 95%CI:1.041-1.192; P = .002), depression (OR, 1.294; 95%CI:1.223-1.396; P < .001), urinary tract infection (OR, 5.879; 95%CI: 5.119-6.753; P < .001), and deep vein thrombosis (OR, 10.007; 95%CI: 8.787-11.396; P < .001) showed statistically positive correlation with increased 90-day readmissions after TJR, but high blood pressure, smoking, and pneumonia had no significant association with readmission risk. The findings of this review and meta-analysis will aid clinicians as they seek to understand the risk factors for 90-day readmission following TJR. Clinicians should consider the identified key risk factors associated with unplanned readmissions and develop strategies to risk-stratify patients and provide dedicated interventions to reduce the rates of readmission and enhance the recovery process.

30-Day Readmission Rate of Patients with COPD and Its Associated Factors: A Retrospective Cohort Study from a Tertiary Care Hospital.

Readmission of chronic obstructive pulmonary disease (COPD) has been used as a measure of performance for COPD care. This study aimed to determine the rate of readmission of COPD in tertiary care hospital in Malaysia and its associated factors. A retrospective cohort study was conducted at a tertiary care hospital in Malaysia from 1st January to 21st May 2019. Seventy admissions for COPD exacerbation involving 58 patients were analyzed. The majority of the patients were male (89.8%), had a mean age of 71.95 ± 7.24 years and a median smoking history of 40 (IQR = 25) pack-years, 84.5% were in GOLD group D and 91.4% had a mMRC grading of 2 or greater. Approximately 60.3% had upper or lower respiratory tract infection as the cause of exacerbation; one in five patients had uncompensated hypercapnic respiratory failure at presentation, and 27.6% needed mechanical ventilatory support. Approximately 43.1% of patients had a history of exacerbation that required hospitalisation in the past year. The mean blood eosinophil concentration was 0.38 ± 0.46 x109 cells/L. The 30-day readmission rate was 20.3%, revisit rate to the emergency room within 30 days after discharge was 3.4%, and in-hospital mortality rate was 1.7%. Among all characteristics, a higher baseline mMRC grade (p = 0.038) and history of exacerbation in the past 1 year (p < 0.001) were statistically associated with 30-day readmission. The 30-day readmission rate for COPD exacerbation in a Malaysian tertiary hospital is similar to the rates in high-income countries. Exacerbation in the previous year and a higher baseline mMRC grading were significant risk factors for 30-day readmission in patients with COPD. Strategies of COPD management should concentrate on improvement of symptoms control by optimisation of pharmacotherapy, and early initiation of pulmonary rehabilitation, and structured integrated care programs to reduce readmission rates.

Risk factors for 30-day readmission following shoulder arthroscopy: a systematic review.

Recently, there has been a rapid shift from open shoulder surgery to arthroscopic shoulder procedures for treating several shoulder pathologies. This shift is mainly due to reduced postoperative complications and 30-day readmission. Although the 30-day readmission rate is low, the risk still exists. One way to minimize the risk factors is to analyze all the risk factors contributing to the 30-day readmission following shoulder arthroscopy. Electronic databases such as PubMed, Google Scholar, and Cochrane library were searched. Studies were selected based on predefined inclusion and exclusion criteria. Newcastle-Ottawa score was used for the quality assessment of individual studies. Two reviewers extracted data from the selected studies. Results were evaluated through narrative analysis and presented as an odds ratio with 95% confidence interval. A meta-analysis was not possible due to the heterogeneity in the available data. A total of 12 studies evaluating 494,038 patients were selected in our review. All the studies have a low risk of bias (median=8). Significant factors predicting readmission included age, gender, COPD (chronic obstructive pulmonary disorder), steroid use, smoking, preoperative opioid use, higher American Society of Anesthesiologists (ASA) score (3 or higher), and general and regional anesthesia vs. regional anesthesia alone. Through our systematic review, we tried to identify risk factors that can predict 30-day readmission following shoulder arthroscopy. These include age > 65 years, COPD, steroid use, opioid use, and OR time > 90 mins. These high-risk patients could be triaged earlier by identifying these parameters, and effective pre and post-operative surveillance could minimize 30-day readmission risk following shoulder arthroscopy.

Severe Obesity Is an Independent Risk Factor of Early Readmission and Nonhome Discharge After Cervical Disc Replacement.

Despite growing interest in cervical disc replacement (CDR) for conditions such as cervical radiculopathy, limited data exists describing the impact of obesity on early postoperative outcomes and complications. These data are especially important as nearly half of the adult population in the United States is expected to become obese (body mass index [BMI] ≥ 30 kg/m2) by 2030. The goal of this study was to compare the demographics, perioperative variables, and complication rates following CDR. The 2005-2020 American College of Surgeons National Surgical Quality Improvement Program datasets were queried for patients who underwent primary 1- or 2-level CDR. Patients were divided into 3 cohorts: Nonobese (BMI: 18.5-29.9 kg/m2), Obese class-I (BMI: 30-34.9 kg/m2), Obese class-II/III (BMI ≥ 35 kg/m2). Morbidity was defined as the presence of any complication within 30 days postoperatively. Rates of 30-day readmission, reoperation, morbidity, individual complications, length of stay, frequency of nonhome discharge disposition were collected. A total of 5,397 patients were included for analysis: 3,130 were nonobese, 1,348 were obese class I, and 919 were obese class II/III. There were more 2-level CDRs performed in the class II/III cohort compared to the nonobese group (25.7% vs. 21.5%, respectively; p < 0.05). Class-II/III had more nonhome discharges than class I and nonobese (2.1% vs. 0.5% vs. 0.7%, respectively; p < 0.001). Readmission rates differed as well (nonobese: 0.5%, class I: 1.1%, class II/III: 2.1%; p < 0.001) with pairwise significance between class II/II and nonobese. Class II/III obesity was an independent risk factor for both readmission (odds ratio [OR], 3.32; p = 0.002) and nonhome discharge (OR, 2.51; p = 0.02). Neither 30-day reoperation nor morbidity rates demonstrated significance. No mortalities were reported. Although obese class-II/III were risk factors for 30-day readmission and nonhome discharge, there was no significant difference in reoperation rates or morbidity. CDR procedures can continue to be safely preformed independent of obesity status.

Identifying risk factors for 30-day readmission after outpatient total shoulder arthroplasty to aid in patient selection

A recent meta-analysis comparing inpatient and outpatient total shoulder arthroplasty (TSA) showed no statistically significant differences in complications, readmissions, revisions, and infections. However, there remains no research on the appropriate patient selection for outpatient TSA surgeries. This retrospective review seeks to aid surgeons in refining a safe patient selection algorithm by evaluating risk factors through a large database analysis of TSA surgeries. Patients who underwent TSA between 2015 and 2020 were identified in the National Surgical Quality Improvement Program database. Patients with a hospital stay of 0 days were designated as outpatient procedures. Multivariate analyses were used to determine risk factors for 30-day readmission following outpatient TSA and whether risk factors remained significant following overnight hospital stay. A total of 2431 outpatient TSA patients were identified. The incidence of 30-day readmission was 1.8%. The majority of readmissions were due to pulmonary complications. The clinically significant risk factors for 30-day readmission were chronic steroid use (odds ratio [OR] 3.55, 95% confidence interval [CI] 1.34-9.43; P=.011), chronic obstructive pulmonary disease (COPD) (OR 3.11, 95% CI 1.16-8.34; P=.024), and current smoking status (OR 2.27, 95% CI 1.02-5.03; P=.045). After overnight hospital stay, chronic steroid use and current smoking status were not significant, but COPD remained significant. Patients with chronic steroid use, COPD, or current smoking status are at increased risk for 30-day readmission. Inpatient hospital stay appears to benefit patients with chronic steroid use and current smoking status. Patients with COPD should be admitted for inpatient stay postoperatively but may still have high 30-day readmission rates following discharge.

The Path to Sustainable Healthcare: Implementing Care Transition Teams to Mitigate Hospital Readmissions and Improve Patient Outcomes.

Introduction Hospital readmissions within 30 days suggest care quality issues and increased mortality risks. They result from ineffective initial treatment, poor discharge planning, and inadequate post-acute care. These high readmission rates harm patient outcomes and financially strain healthcare institutions, inviting penalties and discouraging potential patients. Enhancing inpatient care, care transitions, and case management is crucial to lowering readmissions. Our research underscores the role of care transition teams in reducing readmissions and financial stress in hospitals. By consistently applying transition strategies and focusing on high-quality care, we can improve patient outcomes and ensure hospital success in the long run. Methods This two-phase study investigated readmission rates and risk factors in a community hospital from May 2017 to November 2022. Phase 1 determined a baseline readmission rate and identified individual risk factors using logistic regression. In phase 2, a care transition team addressed these factors by providing post-discharge patient support through phone calls and assessing social determinants of health (SDOH). Readmission data from the intervention period was compared to baseline data using statistical tests. Data, including demographics, medical conditions, and comorbidities, were collected via electronic medical records and the International Classification of Diseases (ICD-10 codes). The study focused on patients aged 20-80 with readmissions within 30 days. Exclusions were made to minimize confounding effects from unmeasured comorbidities and ensure an accurate representation of factors affecting readmissions. Results In the study's initial phase, 74,153 patients participated, with an 18% mean readmission rate. Women accounted for 46% of readmissions, and the white population had the highest rate (49%). The 40-59 age group showed a higher readmission rate than other age groups, and certain health factors were identified as risk factors for 30-day readmission. In the subsequent phase, a care transition team intervened with high-risk groups using an SDOH questionnaire. They contacted 432 patients, resulting in a reduced overall readmission rate of 9%. The 60-79 age group and the Hispanic population experienced higher readmission rates, and the previously identified health factors remained significant risk factors. Conclusion This study emphasizes the crucial role of care transition teams in reducing hospital readmission rates and easing the financial strain on healthcare institutions. By identifying and addressing individual risk factors, the care transition team effectively lowered the overall readmission rate from 18% to 9%. Continually implementing transition strategies and prioritizing high-quality care focused on minimizing readmissions are essential for improving patient outcomes and long-term hospital success. Healthcare providers should consider utilizing care transition teams and social determinants of health assessments to better understand and manage risk factors and tailor post-discharge support for patients at higher risk of readmission.

Risk Factors for Unexpected Hospital Admission Following Achilles Tendon Repair: A National Database Study

INTRODUCTION Achilles tendon rupture (ATR) repair is one of the most common orthopaedic surgeries performed in the United States, however there is a paucity of literature on predisposing risk factors for hospital readmissions. The purpose of this study is to identify risk factors for 30-day readmission in patients undergoing ATR repair with emphasis on procedures performed in the outpatient setting. Specifically, we examine: 1) 30-day post-operative hospital readmission rates; 2) the medical comorbidities and patient characteristics that predisposed this cohort to post-operative complications; and 3) the complications leading to readmission. METHODS The ACS-NSQIP was queried for patients who underwent ATR from 2015 to 2019 using CPT code 27650 in all fields yielding a sample size of 3,887 cases. The following demographic, lifestyle, and comorbidity variables were recorded: age, sex, race, BMI, morbid obesity (BMI ≥ 40.00 kg/m2), bleeding disorders, chronic obstructive pulmonary disease (COPD), diabetes mellitus, hypertension, tobacco use, and chronic steroid use. The primary outcome of 30-day readmission was defined as unplanned hospital readmission likely related to the principal procedure. Independent samples Student’s t-tests, chi-squared, and, where appropriate, Fisher’s exact tests were used in univariate analyses to identify demographic, lifestyle, and peri-operative variables related to 30-day readmission following ATR. Multivariate logistic regression modeling was subsequently performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated and reported. RESULTS Of the 3,887 patients included in our sample, 28 were readmitted within the 30-day post-operative period, corresponding to a readmission rate of 0.73%. Significant relationships with univariate analyses between readmission status and the following patient variables included: mean patient age (p = 0.02); hypertension (p &lt; 0.001); BMI (p = 0.01); morbid obesity (p = 0.002); ASA Classification (p = 0.006); and bleeding disorders (p = 0.03). Multivariate logistic regression modeling confirmed that the following patient variables were associated with statistically significantly increased odds of readmission: age, p = 0.02), OR = 1.03, 95% CI [1.01, 1.06]; hypertension, p &lt; 0.001, OR = 3.82, 95% CI [1.81, 8.06]; BMI, p = 0.01, OR = 1.06, 95% CI [1.01, 1.11]; morbid obesity, p = 0.004, OR = 3.53, 95% CI [1.49, 8.36]. CONCLUSION Our study indicated that only 0.73% of patients were readmitted after their outpatient procedure. Patients who: 1) have BMIs greater than 40; 2) are older in age 3) have hypertension; and 4) a higher ASA Classification were at increased risk for readmission.

Modelling 30-day hospital readmission after discharge for COPD patients based on electronic health records

Chronic Obstructive Pulmonary Disease (COPD) is the third most common chronic disease in China with frequent exacerbations, resulting in increased hospitalization and readmission rate. COPD readmission within 30 days after discharge is an important indicator of care transitions, patient’s quality of life and disease management. Identifying risk factors and improving 30-day readmission prediction help inform appropriate interventions, reducing readmissions and financial burden. This study aimed to develop a 30-day readmission prediction model using decision tree by learning from the data extracted from the electronic health record of COPD patients in Macao. Health records data of COPD inpatients from Kiang Wu Hospital, Macao, from January 1, 2018, to December 31, 2019 were reviewed and analyzed. A total of 782 hospitalizations for AECOPD were enrolled, where the 30-day readmission rate was 26.5% (207). A balanced dataset was randomly generated, where male accounted for 69.1% and mean age was 80.73 years old. Age, length of stay, history of tobacco smoking, hemoglobin, systemic steroids use, antibiotics use and number of hospital admission due to COPD in last 12 months were found to be significant risk factors for 30-day readmission of CODP patients (P < 0.01). A data-driven decision tree-based modelling approach with Bayesian hyperparameter optimization was developed. The mean precision-recall and AUC value for the classifier were 73.85, 73.7 and 0.7506, showing a satisfying prediction performance. The number of hospital admission due to AECOPD in last 12 months, smoke status and patients’ age were the top factors for 30-day readmission in Macao population.

Risk Factors for Readmission and Mortality Following Colonic Surgery: A Consecutive Retrospective Series of More Than 2500 Cases.

Introduction: The optimal strategy to reduce short-term readmission rates following colectomy remains unclear. Identifying possible risk factors can minimize the burden associated with surgical complications leading to readmissions. Materials and Methods: A retrospective review of all adult patients who underwent colectomies between January 2008 and December 2020 in a large tertiary medical center was conducted. Data were collected from patient's medical charts and analyzed. Results: Overall, 2547 patients were included in the study (53% females; mean age 68.3 years). The majority of patients (83%, n = 2112) were operated in an elective setting, whereas 435 patients (17%) underwent emergency colonic resection. Overall, the 30-day readmission rate was 8.3% (n = 218) with an overall 30-day mortality rate of 1.65% (n = 42). Multivariable analysis of possible risk factors for 30-day readmission demonstrated that patient age (odds ratio [OR] 0.98; P = .002), length of stay before surgery (OR 1.01; P = .003), and blood transfusion rate during hospitalization (OR 2.09; P < .001) were all independently associated with an increased risk. Laparoscopic colectomy (OR 0.53; P = .001) was associated with a reduced risk for readmission. Multivariable analysis of risk factors for mortality showed that age (OR 1.10; P < .001), cognitive decline (OR 12.35; P < .001), diabetes (OR 1.00; P = .004), and primary ostomy formation (OR 2.80; P = .006) were all associated with higher mortality. Conclusion: Patient age, history of cognitive decline, and blood transfusion along with a longer hospital stay were all correlated with an increased risk for 30-day patient readmission following colectomy.

Risk factors for ninety-day readmissions following full-endoscopic transforaminal lumbar discectomy for 1542 patients in the biggest spine institutes in Korea.

Endoscopic techniques are becoming popular among spine surgeons because of their advantages. Though the advantages of endoscopic spine surgery are evident and patients can be discharged home within hours of surgery, readmissions can be sought for incomplete relief of leg pain, recurrent disc herniation, and recurrent leg pain. We aim to find out the factors related to the readmission of patients treated for lumbar pathologies. This is a retrospective analysis of the data between the time duration of 2012 and 2022. Patients in the age group of 18-85years, with lumbar disc herniation treated by transforaminal endoscopic lumbar procedures, were included. The patients who were readmitted within 90days were included in the R Group and those who were not were included in the NR group. Univariable and multivariable logistic regression analyses were used to find the risk factors for 90-day readmission. There were a total of 1542 patients enrolled in this study. Sex, number of episodes before admission, hypertension, smoking, BMI, migration, disc height, disc height index, spondylolisthesis, instability, pelvic tilt (PT), and disc cross-sectional area (CSA) were found significant on univariable analysis. Age, spondylolisthesis, instability and muscle CSA were the only variables that were found to be statistically significant on multivariable analysis. This study shows that the elderly age group, presence of spondylolisthesis, segmental instability and decreased muscle cross-sectional area are independent risk factors for 90-day hospital readmissions. Patients having the above risk factors should be carefully counseled regarding the possibility of readmission in the future.

Risk Factors for Thirty-Day Readmission Following Lumbar Surgery: A Meta-Analysis.

Thirty-day readmission is one of the common complications after lumbar surgery. More 30-day readmission increases the total hospitalization, economic burden, and physical pain of patients, delays the progress of postoperative rehabilitation, and even lead to die. Therefore, it is necessary to analyze the risk factors of 30-day readmission following lumbar surgery. We searched for all the clinical trials published from the establishment of the database to May 1, 2022 through the Cochrane Library, Web of Science, Embase, and PubMed. Data including age, American Society of Anesthesiology physical status class, preoperative hematocrit (Hct), diabetes mellitus (DM), current smoker, chronic obstructive pulmonary disease (COPD), length of hospital stay (LHS), operation time, and surgical site infection (SSI) were extracted. We used Review Manager 5.4 for data analysis. Six studies with 30,989 participants were eligible for this meta-analysis. The analysis revealed that there were statistically significant differences in the age (95% confidence interval [CI]:-3.35-2.90, P < 0.001), preoperative Hct (95% CI: 0.75-1.33, P < 0.001), DM (95% CI: 0.56-0.74, P < 0.001), COPD (95% CI: 0.38-0.58, P < 0.001), operation time (95% CI:-35.54-16.18, P < 0.001), LHS (95% CI:-0.54-0.50, P < 0.001), and SSI (95% CI: 0.02-0.03, P<0.001) between no readmission and readmission groups. In terms of the American Society of Anesthesiology physical status class and current smoker, there was no significant effect on the 30-day readmission (P= 0.16 and P= 0.35 respectively). Age, preoperative Hct, DM, COPD, operation time, LHS, and SSI are the danger factors of 30-day readmission following lumbar surgery.

Hypothyroidism as an Independent Predictor of 30-day Readmission in Head and Neck Cancer Patients.

To define the role of hypothyroidism and other risk factors for unplanned readmissions after surgery for head and neck cancer. Retrospective cohort study. The Nationwide Readmission Database (NRD) was used to identify patients who underwent surgery for mucosal head and neck cancer (oral cavity, oropharynx, larynx, and hypopharynx) between 2010 and 2017. Univariate and multivariate logistic regression were performed to determine patient, tumor, and hospital related risk factors for 30-day readmission. Readmitted patients were stratified by preoperative diagnosis of hypothyroidism to compare readmission characteristics. For the 131,013 patients who met inclusion criteria, the readmission rate was 15.9%. Overall, 11.91% of patients had a preoperative diagnosis of hypothyroidism. After controlling for other variables, patients with a preoperative diagnosis of hypothyroidism had 12.2% higher odds of readmission compared to those without hypothyroidism (OR: 1.12, 1.03-1.22, p = 0.008). Patients with hypothyroidism had different reasons for readmission, including higher rates of wound dehiscence, fistula, infection, and electrolyte imbalance. Among readmitted patients, the length of stay for index admission (mean 10.5 days vs. 9.2 days, p < 0.001), readmission (mean 7.0 vs. 6.6 days, p = 0.05), and total hospital charge were higher for hypothyroid patients ($137,742 vs. $119,831, p < 0.001). Hypothyroidism is an independent risk factor for 30-day readmission following head and neck cancer resection. Furthermore, hypothyroid patients are more likely to be readmitted for wound complications, infection, and electrolyte imbalance. Targeted interventions should be considered for hypothyroid patients to decrease readmission rates and associated patient morbidity, potentially leading to earlier initiation of adjuvant treatment. 3 Laryngoscope, 133:2988-2998, 2023.

Multimorbidity and prior falls correlate with risk of 30-day hospital readmission in aged 80+: A prospective cohort study

Thirty-day hospital readmission rate significantly raised with advanced age. The performance of existing predictive models for readmission risk remained uncertain in the oldest population. We aimed to examine the effect of geriatric conditions and multimorbidity on readmission risk among older adults aged 80 and over. This prospective cohort study enrolled patients aged 80 and older discharged from a geriatric ward at a tertiary hospital, with phone follow-up for 12 months. Demographics, multimorbidity, and geriatric conditions were assessed before hospital discharge. Logistic regression models were conducted to analyse risk factors for 30-day readmission. Patients readmitted had higher Charlson comorbidity index scores, and were more likely to have falls, frailty, and longer hospital stay, compared to those without 30-day readmission. Multivariate analysis revealed that higher Charlson comorbidity index score was associated with readmission risk. Older patients with a fall history within 12 months had a near 4-fold increase in readmission risk. Severe frailty status before index admission was associated with a higher 30-day readmission risk. Functional status at discharge was not associated with readmission risk. In addition to multimorbidity, history of falls and frailty were associated with higher hospital readmission risk in the oldest.

Risk factors for 90-day readmission and prolonged length of stay after hip surgery in children with cerebral palsy

ObjectiveSpastic hip dysplasia is a common complication of cerebral palsy in children, and surgical intervention is usually warranted. While current literature has primarily analyzed single institution outcomes, this study utilized a national database to describe readmission rates and factors correlated with readmission for children with cerebral palsy undergoing hip surgery in order to treat this population more effectively. MethodsThis study queried the Nationwide Readmissions Database (2014–2018) for pediatric patients with cerebral palsy who underwent hip surgery. Patient demographics, pre-operative comorbidities, length of stay (LOS), treatment complications, and readmission data were collected for each patient and analyzed with inferential statistics. ResultsOf the 1225 patients included, the average age was 9.3 ± 3.8 years and 42.8% were female. Approximately 26.3% patients had a prolonged LOS (≥5 days) and 14.2% patients required readmission within 90-days of surgery. Medical complications, cardiac arrhythmias, and iron deficiency anemia were all significantly associated with elongated LOS as well as 90-day readmission. Patients with Medicaid were more frequently associated with an inpatient medical complication and the overall complication rate was 5.5%. ConclusionsWhile current literature has analyzed common risk factors and complications associated with hip surgery in the pediatric cerebral palsy patient, this study identifies a national readmission rate (14.2%) as well as preoperative comorbidities associated with readmission within 90-days and/or elongated LOS. Notably, complications are more frequently associated with patients using Medicaid. These results further exemplify the importance of equitable access to care and thorough selection of pediatric cerebral palsy patients appropriate for hip surgery.

Dementia and readmission risk in patients with heart failure participating in a transitional care program

BackgroundCognitive impairment is prevalent in patients hospitalized for heart failure (HF). We aimed to generate further evidence on the value of dementia screening in hospitalized HF patients by examining whether and when dementia would be an independent risk factor for 30-day readmission while modeling permutations of known risk factors such as patient demographics, disease burden, prior utilization, and index hospitalization characteristics. Methods and resultsA retrospective cohort study was employed, consisting of 26,128 patients (2,075 or 7.9% with dementia) in a transitional care program post HF hospitalization. The overall 30-day all-cause readmission rate was 18.1%. Patients with dementia had higher unadjusted rates of readmission (22.0 vs 17.8%) and death (4.5 vs. 2.2%) within 30 days post hospitalization, compared to those without dementia. Hierarchical multivariable proportional hazards regression results showed that dementia independently predicted readmission when both patient demographics and disease burden variables were controlled for (HR=1.15, p=0.02). However, the association between dementia and readmission was attenuated in the full model when prior utilization and index hospitalization characteristics were added (HR=1.04, p=0.55). For dementia patients, Charlson comorbidity index, prior ED visits, and length of stay were significant risk factors of readmission. ConclusionsThe presence of dementia and the predictors of 30-day readmission in those with dementia may help identify this subset of high-risk HF patients for potential efforts to improve their prognosis.

Lactate Dehydrogenase and Risk of Readmission with Gastric Cancer: A Propensity Score Matching Analysis

Purpose Readmission is one of the measures of quality of care and potential costs. This study aimed to determine whether lactate dehydrogenase (LDH) is associated with an increased risk of 30-day readmission in gastric cancer. Methods We performed a retrospective study of patients who underwent radical gastrectomy for gastric cancer at our institution between July 2014 and May 2018. Balanced cohorts were created by propensity score matching (PSM) with a 1:1 ratio to generate the elevated LDH (ELDH) group (n = 151) and the low LDH group (Control) (n = 302). To determine the incidence, causes, and risk factors of 30-day readmission, subgroup analyzes were performed and used to develop an efficient prediction model. Results A total of 788 patients met the criteria to be included in the study. The cutoff value for serum LDH was 215.5. After PSM, a total of 302 patients were matched in pairs (ELDH group, n = 151, Control group, n = 151). ELDH levels had a higher risk of readmission (p = 0.005, Odds ratio 3.768, 95% confidence interval 1.493–9.510). The pre-match 30-day readmission rate was 7.2 percent, and common causes of post-match readmission included infection-related symptoms, gastrointestinal symptoms, and gastrointestinal bleeding. Conclusions Patients with preoperative ELDH levels, postoperative complications, and high preoperative American Society of Anesthesiologists Scores had a higher risk of readmission 30 days after surgery.

Established and Novel Risk Factors for 30-Day Readmission Following Total Knee Arthroplasty: A Modified Delphi and Focus Group Study to Identify Clinically Important Predictors.

Thirty-day readmission following total knee arthroplasty (TKA) is an important outcome influencing the quality of patient care and health system efficiency. The aims of this study were (1) to ascertain the clinical importance of established risk factors for 30-day readmission risk and give clinicians the opportunity to suggest and discuss novel risk factors and (2) to evaluate consensus on the importance of these risk factors. This study was conducted in two stages: a modified Delphi survey followed by a focus group. Orthopaedic surgeons and anaesthetists involved in the care of TKA patients completed an anonymous survey to judge the clinical importance of risk factors selected from a systematic review and meta-analysis and to suggest other clinically meaningful risk factors, which were then discussed in a focus group designed using elements of nominal group technique. Eleven risk factors received a majority (≥50%) vote of high importance in the Delphi survey overall, and six risk factors received a majority vote of high importance in the focus group overall. Lack of consensus highlighted the fact that this is a highly complex problem which is challenging to predict and which depends heavily on risk factors which may be open to interpretation, difficult to capture, and dependent upon personal clinical experience, which must be tailored to the individual patient.

Social network and severe lower respiratory tract infections in older adults: findings from a Swedish longitudinal population-based study

ObjectivesTo investigate the association between social network and the risk and prognosis of severe lower respiratory tract infections (LRTIs) in older adults. MethodsData from Swedish hospital records were matched with the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K). Social network was operationalized as social connections and social support, based on different self-reported variables, and categorized as low, medium, and high. The risk of severe LRTI and related outcomes were assessed using Cox, Poisson, and logistic regression models where appropriate. ResultsA total of 362 individuals experienced LRTI-related hospitalizations between 2001 and 2016 (479 total hospitalizations). High levels of social support decreased the hazard of incident LRTI by 29% (hazard ratio 0.71, 95% confidence interval [CI] 0.52-0.96), the hospital length of stay by 21% (incidence rate ratio 0.79, 95% CI 0.65-0.97), and the risk of 30-day mortality by 92% (odds ratio 0.08, 95% CI 0.01-0.68), but was a risk factor for 30-day readmission (odds ratio 3.16, 95% CI 1.38-7.24). High levels of social connections were associated with a higher risk of incident LRTI in women and those with dementia and/or slow walking speed (Pinteraction <0.05). ConclusionOlder individuals’ quality of social support seems to be a stronger determinant of LRTI incidence and prognosis than the quantity of their social connections. These findings may inform evidence-based policies aimed at preventing LRTIs in older adults.