Project description:BackgroundThe risk of all-cause mortality in patients with heart failure (HF) has been studied previously. Readmission risk of HF patients was rarely explored. Thus, we aimed to explore early warning factors that may influence short-term readmission of HF patients.MethodsThe data of this study came from an HF database in China. It was a retrospective single-center observational study that collected characteristic data on Chinese HF patients by integrating electronic medical records and follow-up outcome data. Eventually, 1,727 patients with HF were finally included in our study.ResultsIn our study, the proportion of HF patients with New York Heart Association (NYHA) class II, III, and IV HF were 17.20%, 52.69%, and 30.11%, respectively. The proportion of patients with readmission within 6 months and readmission within 3 months was 38.33% and 24.20%, respectively. Multivariate logistic regression showed that NYHA class (p III = 0.028, p IV < 0.001), diabetes (p = 0.002), Cr (p = 0.003), and RDW-SD (p = 0.039) were risk factors for readmission within 6 months of HF patients. NYHA class (p III = 0.038, p IV < 0.001), CCI (p = 0.033), Cr (p = 0.012), UA (p = 0.042), and Na (p = 0.026) were risk factors for readmission within 3 months of HF patients.ConclusionsOur study implied risk factors of short-term readmission risk in patients with HF, which may provide policy guidance for the prognosis of patients with HF.
Project description:BACKGROUND:Capturing and incorporating patient-centered factors into 30-day readmission risk prediction after hospitalized heart failure (HF) could improve the modest performance of current models. METHODS:Using a mixed-methods approach, we developed a patient-centered survey and evaluated the additional predictive utility of the survey compared to a traditional readmission risk model (the Krumholz et al. model). Area under the receiver operating characteristic curve (AUC) and the Hosmer-Lemeshow goodness-of-fit statistic quantified the performance of both models. We measured the amount of model improvement with the addition of patient-centered factors to the Krumholz et al. model with the integrated discrimination improvement (IDI). In an exploratory analysis, we used hierarchical clustering algorithms to identify groups with similar survey responses and tested for differences between clusters using standard descriptive statistics. RESULTS:From 3/24/2014 to 3/12/2015, 183 patients hospitalized with HF were enrolled from an urban, academic health system and followed for 30days after discharge. The Krumholz et al. plus patient-centered factors model had similar-to-slightly lower performance (AUC [95%CI]:0.62 [0.52, 0.71]; goodness-of-fit P=.10) than the Krumholz et al. model (AUC [95%CI]:0.66 [0.57, 0.76]; goodness-of-fit P=.19). The IDI (95%CI) was 0.003 (-0.014,0.020). We identified three patient clusters based on patient-centered survey responses. The clusters differed with respect to gender, self-rated health, employment status, and prior hospitalization frequency (all P<.05). CONCLUSIONS:The addition of patient-centered factors did not improve 30-day readmission model performance. Rather than designing interventions based on predicted readmission risk, tailoring interventions to all patients, based on their characteristics, could inform the design of targeted, readmission reduction strategies.
Project description:Background: Heart failure (HF) is a significant cause of mortality, morbidity and impaired quality of life and is the leading cause of readmissions and hospitalization. This study aims to identify the factors contributing to readmission in patients with HF. Methods: A prospective-observational single-centre study was conducted in Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates. A total of 146 patients with HF are included in the study. Patient's demographics, patient medical characteristics, lab values, medications were collected for each patient, and the factors associated with readmission are identified. The primary outcome is to identify the factors contributing to readmission and reduce readmission rate. SPSS software for windows version 26 is used for data analysis. Results: The number of patients with heart failure admitted to hospital is higher with males (73.3%) than females. 42.1% were readmitted and were not compliant, whereas patients who are not readmitted and were compliant shows a lower percentage. Noncompliance was the most significant factor associated with readmission (p = 0.02, OR = 3.6, 95%CI: 1.57 - 8.28). Other factors that are associated with readmission were low haemoglobin (p = 0.001, OR = 0.96, 95%CI: 0.94 - 0.98), and NYHA class of HF (p = 0.023, OR = 2.22, 95%CI: 1.12 - 4.43). In addition, there are other factors that are linked with the disease but were not associated with readmission in our findings such as hypertension, coronary artery disease, gender, systolic blood pressure on admission, and age. Majority of the readmitted patients were NYHA Class IV 32/57 (56.1%) against 20/89 (22.7%) in non-readmission group. Length of stay is (Median ± IQR, 6 ± 8.5). Conclusion: The study has revealed that noncompliance, low haemoglobin and NYHA Class IV of HF were the main factors associated with readmission. Clinical pharmacist as a team member could help to improve adherence in order to reduce the rate of admission.
Project description:BackgroundHeart failure is characterised as a strong risk factor for systemic failure after cardiac surgery. However, the impact has never been substantiated.MethodsPatients with heart failure (n = 48) - scheduled for elective ventricular reconstruction or external constraint device-were compared with a one-to-one matched control group of patients without heart failure undergoing cardiac surgery between 2006 and 2009.ResultsAs expected, patients with heart failure more frequently experienced complications definitely related to pump failure (p = 0.01). However, complications not related to their pump failure were also more often observed, such as prolonged mechanical ventilation, sepsis and vasoplegia (p = 0.01). Overall, organ dysfunction-circulatory, renal, and pulmonary failure-was often observed in heart failure patients, contributing to a prolonged stay in the intensive care unit (p < 0.001) as well as in hospital (p = 0.01).ConclusionThe adverse postoperative course in patients with heart failure is not only directly related to circulatory failure, but merely reflects a systemic dysregulation. Our findings suggest that heart failure impacts outcome and should therefore be included in prevailing risk classification systems. Offensive perioperative treatment strategies, focused on the main complications in patients with heart failure, will lead to improved results after cardiac surgery.
Project description:AimsCardiac amyloidosis (CA) is an under-diagnosed cause of heart failure (HF) and has a worse prognosis than other forms of HF. The frequency of death or rehospitalization following discharge for acute heart failure (AHF) in CA (relative to other causes) has not been documented. The study aims to compare hospital readmission and death rates 90 days after discharge for AHF in patients with vs. without CA and to identify risk factors associated with these events in each group.Methods and resultsPatients with HF and CA (HF + CA+) were recruited from the ICREX cohort, after screening of their medical records. The cases were matched 1:5 by sex and age with control HF patients without CA (HF + CA-). There were 27 HF + CA + and 135 HF + CA- patients from the ICREX cohort included in the study. Relative to the HF + CA- group, HF + CA+ patients had a higher heart rate (P = 0.002) and N-terminal prohormone of brain natriuretic peptide levels (P < 0.001) and lower blood pressure (P < 0.001), weight, and body mass index values (P < 0.001) on discharge. Ninety days after discharge, the HF + CA+ group displayed a higher death rate, a higher all-cause hospital readmission rate, and a higher hospital readmission rate for AHF. Death and hospital readmissions occurred sooner after discharge in the HF + CA+ group than in the HF + CA- group.ConclusionsThe presence of CA in patients with HF was associated with a three-fold greater risk of death and a two-fold greater risk of all-cause hospital readmission 90 days after discharge. These findings emphasize the importance of close, active management of patients with CA and AHF.
Project description:BackgroundThe purpose of this study is to further investigate the leading causes of readmission at 30 days in heart failure exacerbation patients, along with associations to mortality and intensive care unit (ICU) admissions.MethodsA retrospective data analysis was performed on a total of 33,400 patients between January 1, 2016, and December 31, 2020. The primary endpoints were to determine whether guideline-directed medical therapy (GDMT), length of stay, and time to first diuretic affect readmission rates. Secondary endpoints include time to first chest X-ray, time to first echocardiogram, administration of intravenous fluids, diet, presence of cardiology consult, and ICU admission.ResultsPatients who received GDMT had decreased likelihood of mortality (odds ratio (OR): 0.518; 95% confidence interval (CI): 0.394 - 0.682; P < 0.001). Patients who had an echocardiogram done within 1 day of admission had less likelihood of death (OR: 0.606; 95% CI: 0.483 - 0.759; P < 0.001). In addition, patients who had a cardiac diet during their hospitalization were 0.632 times less likely to experience mortality (95% CI: 0.502 - 0.797; P < 0.001). Patients that received their first intravenous diuretic 2 h or more after admission were 1.290 times as likely to be readmitted within 30 days (95% CI: 1.018 - 1.634; P = 0.035). In addition, patients that did not receive intravenous diuretics were even more likely to be readmitted within 30 days (OR: 1.555; 95% CI: 1.237 - 1.955; P < 0.01). Patients who were treated with GDMT had a decreased chance of being readmitted within 30 days (OR: 0.781; 95% CI: 0.647 - 0.944; P = 0.01).ConclusionsThis study stresses the importance of initiating GDMT, cardiac diet, diuretics, and echocardiogram in timely manner.
Project description:BackgroundA corpectomy of the lumbar spine is a widely performed surgical procedure with numerous indications. Previous research predominantly focused on various surgical techniques and their outcomes, lacking a general and comprehensive analysis of factors affecting this procedure. With this study, we aimed to assess the all-cause 90-day readmission rate and identify risk factors for adverse events following a lumbar corpectomy.MethodsUtilizing the 2020 Nationwide Readmissions Database adults (>18 years) were selected by ICD-10 procedure category codes for lumbar corpectomy. Patients with adult deformity or degenerative conditions were excluded due to coding inconsistencies. Demographic information and clinical data, including comorbidities, was extracted. Patients were categorized by their readmission status. The primary outcome was readmission, with multivariable logistic regression analysis used to identify independent risk factors.ResultsA total of 3,238 patients were included, with 20.8% readmitted. The readmission group was significantly older and had higher comorbidity burdens. Malignancy had the greatest odds of readmission (OR 3.172, p=.002), with spondylodiscitis also showing significant association (OR 2.177, p=.030). Fractures were significantly more frequent in the single admission group and not associated with readmission (OR 1.235, p=.551). Medical comorbidities differed significantly between the groups with a variety of them being identified as risk factors.ConclusionsWe established an all-cause 90-day readmission rate of 20.8%, which is in range of other procedures in spine surgery but underscores the severity of lumbar corpectomy. Underlying pathologies have a greater impact on the readmission rate compared to medical comorbidities. These findings highlight the importance of preoperative patient selection, especially when performing more invasive procedures. However, the study's limitations may limit the generalizability of the findings.
Project description:IntroductionCardiac rehabilitation improves disease-related symptoms, quality of life, and clinical outcomes. This study was done to evaluate the effect of cardiac rehabilitation program on cardiovascular risk factors in chronic heart failure patients as well as functional capacity and health related quality of life.MethodsThe study was conducted on 80 Patients with chronic stable heart failure. All patients had full history and thorough physical examination. Body mass index (BMI), waist circumference, glycated hemoglobin (HbA1c), lipid profile, and echocardiography, all of which were done before and after recruitment in a 2 months cardiac rehabilitation program (through prescribed exercise training, 2 sessions/week for 2 months). The changes in functional capacity were evaluated by 6-min walk test (6MWT) and the changes in the health related quality of life were measured by Minnesota living with heart failure questionnaire (MLHFQ), both were done before and after the rehabilitation program.ResultsThere was a highly significant reduction in the blood pressure, heart rate, BMI, waist circumference, the smokers' number and the glycated hemoglobin (HbA1c) (P < 0.01). However, there was no statistically significant reductions in low density lipoproteins (LDL), Triglycerides (P > 0.05). Highly significant improvements were noted in the functional capacity and the health related quality of life as evidenced by improvement in the 6MWT and the MLHFQ scores (total score, physical and psychological domains, P < 0.01).ConclusionCardiac rehabilitation had a significant improvement of cardiovascular risk factors, functional capacity and Health related quality of life in patients with chronic heart failure.
Project description:ObjectiveTo determine timing and risk factors associated with readmission within 30 days of discharge following noncardiac surgery.BackgroundHospital readmission after noncardiac surgery is costly. Data on the drivers of readmission have largely been derived from single-center studies focused on a single surgical procedure with uncertainty regarding generalizability.MethodsWe undertook an international (28 centers, 14 countries) prospective cohort study of a representative sample of adults ≥45 years of age who underwent noncardiac surgery. Risk factors for readmission were assessed using Cox regression (ClinicalTrials.gov, NCT00512109).ResultsOf 36,657 eligible participants, 2744 (7.5%; 95% confidence interval [CI], 7.2-7.8) were readmitted within 30 days of discharge. Rates of readmission were highest in the first 7 days after discharge and declined over the follow-up period. Multivariable analyses demonstrated that 9 baseline characteristics (eg, cancer treatment in past 6 months; adjusted hazard ratio [HR], 1.44; 95% CI, 1.30-1.59), 5 baseline laboratory and physical measures (eg, estimated glomerular filtration rate or on dialysis; HR, 1.47; 95% CI, 1.24-1.75), 7 surgery types (eg, general surgery; HR, 1.86; 95% CI, 1.61-2.16), 5 index hospitalization events (eg, stroke; HR, 2.21; 95% CI, 1.24-3.94), and 3 other factors (eg, discharge to nursing home; HR, 1.61; 95% CI, 1.33-1.95) were associated with readmission.ConclusionsReadmission following noncardiac surgery is common (1 in 13 patients). We identified perioperative risk factors associated with 30-day readmission that can help frontline clinicians identify which patients are at the highest risk of readmission and target them for preventive measures.
Project description:BACKGROUND:The aim of our study was to analyze the risk factors of nosocomial infection after cardiac surgery in children with congenital heart disease (CHD). METHODS:We performed a retrospective cohort study, and children with CHD who underwent open-heart surgeries at Shanghai Children's Medical Center from January 1, 2012 to December 31, 2018 were included. The baseline characteristics of these patients of different ages, including neonates (0-1 months old), infants (1-12 months old) and children (1-10 years old), were analyzed, and the association of risk factors with postoperative nosocomial infection were assessed. RESULTS:A total of 11,651 subjects were included in the study. The overall nosocomial infection rate was 10.8%. Nosocomial infection rates in neonates, infants, and children with congenital heart disease were 32.9, 15.4, and 5.2%, respectively. Multivariate logistic regression analysis found age (OR 0798, 95%CI: 0.769-0.829; P < 0.001), STS risk grade (OR 1.267, 95%CI: 1.159-1.385; P < 0.001), body mass index (BMI) <5th percentile (OR 1.295, 95%CI: 1.023-1.639; P = 0.032), BMI >95th percentile (OR 0.792, 95%CI: 0.647-0.969; P = 0.023), cardiopulmonary bypass (CPB) time (OR 1.008, 95%CI: 1.003-1.012; P < 0.001) and aortic clamping time (OR 1.009, 1.002-1.015; P = 0.008) were significantly associated with nosocomial infection in CHD infants. After adjusted for confounding factors, we found STS risk grade (OR 1.38, 95%CI: 1.167-1.633; P < 0.001), BMI < 5th percentile (OR 1.934, 95%CI: 1.377-2.715; P < 0.001), CPB time (OR 1.018, 95%CI: 1.015-1.022; P < 0.001), lymphocyte/WBC ratio<cut off value (OR 3.818, 95%CI: 1.529-9.533; P = 0.004) and AST>cut off value (OR 1.546, 95%CI: 1.119-2.136; P = 0.008) were significantly associated with nosocomial infection in CHD children. CONCLUSION:Our study suggested STS risk grade, BMI, CPB duration, low lymphocyte/WBC or high neutrophil/WBC ratio were independently associated with nosocomial infection in CHD infant and children after cardiac surgery.