MELD score as a predictor of mortality, length of hospital stay, and disease burden: A single-center retrospective study in 39,323 inpatients.
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ABSTRACT:
SUBMITTER: Roth JA
PROVIDER: S-EPMC5478332 | biostudies-literature | 2017 Jun
REPOSITORIES: biostudies-literature
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MELD score as a predictor of mortality, length of hospital stay, and disease burden: A single-center retrospective study in 39,323 inpatients.
Roth Jan A JA Chrobak Carl C Schädelin Sabine S Hug Balthasar L BL
Medicine 20170601 24
The laboratory-based model for end-stage liver disease (MELD) score reflects the function of the kidney, liver, and extrinsic coagulation pathway and might be used as a general prognostic tool for the assessment of patients. We therefore aimed to investigate a potential association of the MELD score with mortality, length of hospital stay (LOS), and disease burden in a general patient population.We performed a retrospective observational study at a tertiary referral center. From January 2012 thr ...[more]
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Project description:BACKGROUND:Decreasing the length of hospital stay is an ideal course of action to appropriately allocate medical resources. The aim of this retrospective study was to identify perioperative factors that may decrease the length of hospital stay (LOS). METHODS:In this study, we collected the data on 1112 patients who underwent primary total knee arthroplasty surgery (TKAs) at our institution from Jan 1, 2011 to Nov 31, 2017. Based on the published literature, 16 potential factors (12 preoperative variables, 1 intraoperative variable, and 3 postoperative variables) were investigated. The patients requiring a hospital stay longer than the mean LOS (8?days) were defined as patients with a prolonged LOS. The factors with a P value less than 0.1 in the univariate analysis were further analysed in a multivariate model. An ordinal regression was used to determine independent risk factors for a prolonged LOS. RESULTS:The mean LOS was 8.3?days (±4.3), with a range of 2 to 30?days. Sixteen variables were analysed by univariate analysis, and 11 of them had p?<?0.1 and were included in the multivariable model. Finally, 9 factors were found to be associated with a prolonged LOS. Among the 9 variables, 2 were surgery-related factors (operative time and intraoperative blood loss), and 3 were patient-related factors (age, ASA classification and neurological comorbidities). CONCLUSION:In this study, we found that the clinical protocol, complications, the patient's age, the ASA classification, neurological comorbidities, the operative time, the ward, intraoperative blood loss and the surgeon were all factors contributing to a prolonged LOS. In clinical practice, these factors provide important information for the surgeon and are useful for identifying patients with a high risk of a prolonged LOS.
| S-EPMC6995082 | biostudies-literature
Project description:AimThis study aimed to explore factors may affect the length of hospital stay after laparoscopic appendectomy.MethodsThe data of 636 patients undergoing laparoscopic appendectomy between July 2016 and July 2019 in Beijing Tsinghua Changgung Hospital were retrospectively analyzed. The patients were divided into group A (hospital stay ≤3 days, 348 patients) and group B (hospital stay >3 days, 288 patients) according to their hospital stay.Sex, age, disease onset time(time from onset to admission), nausea, vomiting, diarrhea, peritonitis, comorbidities, and history of appendicitis; preoperative body temperature (T), white blood cell (WBC) count, percentage of neutrophilic granulocytes, and preoperative C-reactive protein (CRP) level; time from diagnosis to surgery. appendix diameter, appendicolith, and ascites in ultrasound or CT; surgical time(the surgery start time was the time of skin incision, and the end time was the time the anesthesia intubation was removed), intraoperative blood loss (the volume of blood infiltrating into a gauze was calculated by weighing the gauze infiltrated with water and calculating the volume of water), intraoperative adhesions or effusions, and stump closure methods, convert to open appendectomy, appendix pathology(perforated or gangrenous appendicitis were defined as complicated appendicitis and simple or suppurative appendicitis were defined as uncomplicated appendicitis) and antibiotic treatment schemes were analyzed.ResultsSignificant differences were detected between group A and group B in age (37.10 ± 13.52y vs 42.94 ± 15.57y, P<0.01), disease onset time (21.36 ± 16.56 h vs 32.52 ± 27.99 h, P <0.01), time from diagnosis to surgery (8.63 ± 7.29 h vs 10.70 ± 8.47 h, P<0.01); surgical time(64.09 ± 17.24 min vs 86.19 ± 39.96 min, P < 0.01); peritonitis(52.9% vs 74%, P < 0.01), comorbidities (12.4% vs 20.5%, P < 0.01), appendicolith (27.6% vs 41.7%, P < 0.01), ascites before the surgery(13.8% vs 22.9%, P < 0.01), intraoperative adhesions or effusions(56% vs 80.2%, P < 0.01); preoperative temperature (37.11 ± 0.64°C vs 37.54 ± 0.90°C, P < 0.01); preoperative WBC count (13.06 ± 3.39 × 109/L vs 14.21 ± 4.54 × 109/L, P = 0.04);preoperative CRP level(18.99 ± 31.72 mg/L vs 32.46 ± 46.68 mg/L, P < 0.01); appendix diameter(10.22 ± 2.59 mm vs 11.26 ± 3.23 mm, P < 0.01); intraoperative blood loss (9.36 ± 7.29 mL vs 13.74 ± 13.49 mL, P < 0.01); using Hem-o-lok for stump closure(30.7% vs 38.5%, P = 0.04); complicated appendicitis (9.5% vs 45.8%, P < 0.01); and using ertapenem for antibiotic treatment after the surgery(4.3% vs 21.5%, P < 0.01). Multivariate analysis demonstrated that age (OR = 1.021; 95%CI = 1.007-1.036), peritonitis (OR = 1.603; 95% CI = 1.062-2.419), preoperative WBC count (OR = 1.084; 95% CI = 1.025-1.046), preoperative CRP level (OR = 1.010; 95% CI = 1.005-1.015), time from diagnosis to surgery (OR = 1.043; 95% CI = 1.015-1.072), appendicolith (OR = 1.852; 95% CI = 1.222-2.807), complicated appendicitis (OR = 3.536; 95% CI = 2.132-5.863), surgical time (OR = 1.025; 95% CI = 1.016-1.034), use of Hem-o-lok for stump closure (OR = 1.894; 95% CI = 1.257-2.852), and use of ertapenem for antibiotic treatment (OR = 3.076; 95% CI = 1.483-6.378) were the risk factors for a prolonged hospital stay.ConclusionsThe patient with appendicitis was older and had peritonitis, higher preoperative WBC count or CRP level, longer time from diagnosis to surgery, appendicolith, and complicated appendicitis, predicting a prolonged hospital stay. Shorter surgical time and the use of silk ligation for stump closure and cephalosporins + metronidazole for antibiotic treatment might be better choices to obtain a shorter hospital stay.
| S-EPMC7725291 | biostudies-literature
Project description:BACKGROUND:Hospital length-of-Stay has been traditionally used as a surrogate to evaluate healthcare efficiency, as well as hospital resource utilization. Prolonged Length-of-stay (PLOS) is associated with increased mortality and other poor outcomes. Additionally, these patients represent a significant economic problem on public health systems and their families. We sought to describe and compare characteristics of patients with Normal hospital Length-of-Stay (NLOS) and PLOS to identify sociodemographic and disease-specific factors associated with PLOS in a tertiary care institution that attends adults with complicated diseases from all over Mexico. MATERIALS AND METHODS:We conducted a retrospective analysis of hospital discharges from January 2000-December 2017 using institutional databases of medical records. We compared NLOS and PLOS using descriptive and inferential statistics. PLOS were defined as those above the 95th percentile of length of hospitalization. RESULTS:We analyzed 85,904 hospitalizations (1,069,875 bed-days), of which 4,427 (5.1%) were PLOS (247,428 bed-days, 23.1% of total bed-days). Hematological neoplasms were the most common discharge diagnosis and surgery of the small bowel was the most common type of surgery. Younger age, male gender, a lower physician-to-patient ratio, emergency and weekend admissions, surgery, the number of comorbidities, residence outside Mexico City and lower socioeconomic status were associated with PLOS. Bone marrow transplant (OR 18.39 [95% CI 12.50-27.05, p<0.001), complex infectious diseases such as systemic mycoses and parasitoses (OR 4.65 [95% CI 3.40-6.63, p<0.001), and complex abdominal diseases such as intestinal fistula (OR 2.57 [95% CI 1.98-3.32) had the greatest risk for PLOS. Risk of mortality in patients with PLOS increased more than threefold (3.7% vs 13.3%, p<0.001). CONCLUSIONS:We report some key sociodemographic and disease-specific differences in patients with PLOS. These could serve to develop a specific model of directed hospital healthcare for patients identified as in risk of PLOS.
| S-EPMC6224124 | biostudies-literature
Project description:ObjectiveThis study explored the risk factors influencing the length of hospital stay (LOS) and establish whether the type of anesthesia is independently associated with the LOS in patients after primary unilateral total knee arthroplasty (TKA).MethodsIn this retrospective cohort study, 2309 patients undergoing unilateral TKA were recruited between January 2013 and June 2014 in a tertiary academic medical center in Singapore. Univariate and multivariate linear regression analyses were used to identify the independent risk factors associated with LOS. Besides, subgroup and interaction analyses were performed to evaluate the relationship between the type of anesthesia and LOS.ResultIn total, 2309 patients were identified. Out of these, 791 patients underwent general anesthesia, whereas 1518 patients underwent regional anesthesia. Multivariate regression analyses revealed that prolonged LOS was significantly associated with age ≥ 65 years (β = 0.48; 95% CI, 0.09-0.87; P = 0.015), diabetes mellitus (DM) (β = 0.8; 95% CI, 0.33-1.27; P = 0.001), congestive cardiac failure (CCF) (β = 4.1; 95% CI, 2.02-6.17; P < 0.001), perioperative blood transfusion (β = 5.71; 95% CI, 4.86-6.56; P < 0.001), creatinine > 2 mg/dL (β = 4.54; 95% CI, 2.46-6.62; P < 0.001), ASA status (III) (β = 1.72; 95% CI, 0.72-2.71; P = 0.001), general anesthesia (β = 0.78; 95% CI, 0.41-1.66; P < 0.001). The LOS further decreased among participants receiving regional anesthesia at advanced age (age ≥ 65 years) (β = - 1.12; 95% CI, - 1.66 to - 0.58; P < 0.001), patients with BMI ≤ 25 kg/m2 (β = - 1.92; 95% CI, - 2.73 to - 1.11; P < 0.001) or ≥ 30 kg/m2 (β = - 0.58; 95% CI, - 1.1 to - 0.06; P = 0.029).ConclusionOur findings demonstrated that age ≥ 65 years, DM, CCF, perioperative blood transfusion, creatinine > 2 mg/dL, ASA status (III), general anesthesia are associated with a prolonged LOS after primary TKA. Elderly patients (age ≥ 65 years) and patients with BMI ≤ 25 kg/m2 or ≥ 30 kg/m2 receiving regional anesthesia have a further reduced LOS. Therefore, when TKA is performed, priority for regional anesthesia is given to the elderly patients (age ≥ 65 years old) and those with BMI ≤ 25 kg/m2 or ≥ 30 kg/m2.
| S-EPMC8591843 | biostudies-literature
Project description:BACKGROUND:Failure in the timely follow-up of test results has been widely documented, contributing to delayed medical care. Yet, the impact of delay in reviewing test results on hospital length of stay (LOS) has not been studied. We examine the relationship between laboratory tests review time and hospital LOS. METHODS:A retrospective cohort study of inpatients admitted to a metropolitan teaching hospital in Sydney, Australia, between 2011 and 2012 (n?=?5804). Generalized linear models were developed to examine the relationship between hospital LOS and cumulative clinician read time (CRT), defined as the time taken by clinicians to review laboratory test results performed during an inpatient stay after they were reported in the computerized test reporting system. The models were adjusted for patients' age, sex, and disease severity (measured by the Charlson Comorbidity index), the number of test panels performed, the number of unreviewed tests pre-discharge, and the cumulative laboratory turnaround time (LTAT) of tests performed during an inpatient stay. RESULTS:Cumulative CRT is significantly associated with prolonged LOS, with each day of delay in reviewing test results increasing the likelihood of prolonged LOS by 13.2% (p?<?0.0001). Restricting the analysis to tests with abnormal results strengthened the relationship between cumulative CRT and prolonged LOS, with each day of delay in reviewing test results increasing the likelihood of delayed discharge by 33.6% (p?<?0.0001). Increasing age, disease severity and total number of tests were also significantly associated with prolonged LOS. Increasing number of unreviewed tests was negatively associated with prolonged LOS. CONCLUSIONS:Reducing unnecessary hospital LOS has become a critical health policy goal as healthcare costs escalate. Preventing delay in reviewing test results represents an important opportunity to address potentially avoidable hospital stays and unnecessary resource utilization.
| S-EPMC5956538 | biostudies-literature
Project description:BackgroundPostoperative complications are a significant source of morbidity and mortality. There are limited studies, however, assessing the impact of common postoperative complications on health care resource utilization.ObjectiveTo assess the association of clinically important postoperative complications with total hospital costs and length of stay (LOS) in patients undergoing noncardiac surgery.MethodsWe determined total hospital costs and LOS in all patients admitted to a single tertiary care center between July 1, 1996 and March 31, 1998 using a detailed administrative hospital discharge database. Total hospital costs and LOS were adjusted for preoperative and surgical characteristics.ResultsOf 7,457 patients who underwent noncardiac surgery, 6.9% developed at least 1 of the postoperative complications. These complications increased hospital costs by 78% (95% confidence interval [CI]: 68% to 90%) and LOS by 114% (95% CI: 100% to 130%) after adjustment for patient preoperative and surgical characteristics. Postoperative pneumonia was the most common complication (3%) and was associated with a 55% increase in hospital costs (95% CI: 42% to 69%) and an 89% increase in LOS (95% CI: 70% to 109%).ConclusionsPostoperative complications consume considerable health care resources. Initiatives targeting prevention of these events could significantly reduce overall costs of care and improve patient quality of care.
| S-EPMC1484655 | biostudies-literature
Project description:Hospital length of stay (LOS) after burn injury is commonly estimated as 1 day per percent burn, but LOS often exceeds that estimate. The purpose of this study is to develop a novel method for estimating burn hospital LOS at any time during hospitalization. The authors used the American Burn Association National Burn Repository from 2000 to 2009 to directly estimate the median residual LOS (MRLOS) of patients hospitalized for burn injuries and who survived to discharge. The MRLOS is the median of how many more days a burn patient will be hospitalized given that the person has been in hospital for a specified time period. The authors also estimated the 25th and 75th percentiles of residual life and quantified the relationship between MRLOS and LOS with ordinary least squares for all burn patients, by burn size and by presence of inhalation injury. MRLOS increased with increasing LOS, confirming that discharge estimates change over time. Patients with inhalation injury had longer MRLOS than patients without inhalation injury in the first 100 hospital days. Patients with large burns (>25%) had large MRLOS consistent with prolonged hospitalization, but patients with small burns (<25%) also had steadily increasing MRLOS during hospitalization (ie, the longer the patient was in the hospital, the longer the predicted LOS regardless of initial LOS estimate). Estimating remaining hospital LOS at any time during admission has been problematic; MRLOS can be used to provide an estimate of remaining hospital LOS and resource utilization to families, administrators, and other medical professionals.
| S-EPMC5014656 | biostudies-literature
Project description:In South Korea, people injured in road traffic accidents receive compensation for medical costs through their automobile insurance. However, the automobile insurance system appears to manage health care inefficiently. This study aimed to investigate the factors associated with the hospital length of stay (LOS), which was used as an indicator of healthcare utilization, for inpatients covered by automobile insurance and undergoing invasive cervical discectomy.Insurance claims data from 158 hospitals were used. The study included 850 inpatients who were involved in automobile accidents in 2014 and 2015 and who underwent invasive cervical discectomy. Poisson regression analysis was performed to examine the associations between the LOS and hospital-level characteristics.The mean LOS for inpatients covered by automobile insurance was 25.75 days. A higher proportion of inpatients with automobile insurance were associated with a longer LOS (rate ratio [RR]: 1.027 per 1% increase, 95% confidence interval [CI]: 1.012-1.042). A higher hospital volume of invasive cervical discectomy (RR: 0.970 per 10 case increase, 95% CI: 0.945-0.997), bed turnover rate (RR: 0.988 per 1 increase, 95% CI: 0.979-0.997), and number of neurosurgeons or orthopedic specialists (RR: 0.930 per 1/100 beds increase, 95% CI: 0.876-0.987) were associated with a shorter LOS.Our findings suggest that inpatients covered by automobile insurance were associated with a longer LOS when treated at small-sized, low-provider, and low-volume hospitals with high proportions of such patients. Based on these findings, policymakers and healthcare professionals ought to consider improved strategies for efficient management of automobile insurance for inpatients in small-sized hospitals.
| S-EPMC5559848 | biostudies-other
Project description:Human immunodeficiency virus (HIV) infection accelerates liver disease progression in patients with hepatitis C virus (HCV) and could shorten survival of those awaiting liver transplants. The Model for End-Stage Liver Disease (MELD) score predicts mortality in HIV-negative transplant candidates, but its reliability has not been established in HIV-positive candidates.We evaluated predictors of pretransplantation mortality in HIV-positive liver transplant candidates enrolled in the Solid Organ Transplantation in HIV: Multi-Site Study (HIVTR) matched 1:5 by age, sex, race, and HCV infection with HIV-negative controls from the United Network for Organ Sharing.Of 167 HIVTR candidates, 24 died (14.4%); this mortality rate was similar to that of controls (88/792, 11.1%, P = .30) with no significant difference in causes of mortality. A significantly lower proportion of HIVTR candidates (34.7%) underwent liver transplantation, compared with controls (47.6%, P = .003). In the combined cohort, baseline MELD score predicted pretransplantation mortality (hazard ratio [HR], 1.27; P < .0001), whereas HIV infection did not (HR, 1.69; P = .20). After controlling for pretransplantation CD4(+) cell count and HIV RNA levels, the only significant predictor of mortality in the HIV-infected subjects was pretransplantation MELD score (HR, 1.2; P < .0001).Pretransplantation mortality characteristics are similar between HIV-positive and HIV-negative candidates. Although lower CD4(+) cell counts and detectable levels of HIV RNA might be associated with a higher rate of pretransplantation mortality, baseline MELD score was the only significant independent predictor of pretransplantation mortality in HIV-infected liver transplant candidates.
| S-EPMC2826170 | biostudies-literature
Project description:IntroductionHospital readmissions are common, expensive, and a key target of the Medicare Value Based Purchasing (VBP) program. Risk assessment tools have been developed to identify patients at high risk of hospital readmission so they can be targeted for interventions aimed at reducing the rate of readmission. One such tool is the HOSPITAL score that uses seven readily available clinical variables to predict the risk of readmission within 30 days of discharge. The HOSPITAL score has been internationally validated in large academic medical centers. This study aims to determine if the HOSPITAL score is similarly useful in a moderate sized university affiliated hospital in the midwestern United States.Materials and methodsAll adult medical patients discharged from the SIU-SOM Hospitalist service from Memorial Medical Center (MMC) from October 15, 2015 to March 16, 2016, were studied retrospectively to determine if the HOSPITAL score was a significant predictor of hospital readmission within 30 days.ResultsDuring the study period, 998 discharges were recorded for the hospitalist service. The analysis includes data for the 931 discharges. Patients who died during the hospital stay, were transferred to another hospital, or left against medical advice were excluded. Of these patients, 109 (12%) were readmitted to the same hospital within 30 days. The patients who were readmitted were more likely to have a length of stay greater than or equal to 5 days (55% vs. 41%, p = 0.005) and were more likely to have been admitted more than once to the hospital within the last year (100% vs. 49%, p < 0.001). A receiver operating characteristic evaluation of the HOSPITAL score for this patient population shows a C statistic of 0.77 (95% CI [0.73-0.81]), indicating good discrimination for hospital readmission. The Brier score for the HOSPITAL score in this setting was 0.10, indicating good overall performance. The Hosmer-Lemeshow goodness of fit test shows a ? (2) value of 1.63 with a p value of 0.20.DiscussionThis single center retrospective study indicates that the HOSPITAL score has good discriminatory ability to predict hospital readmissions within 30 days for a medical hospitalist service at a university-affiliated hospital. This data for all causes of hospital readmission is comparable to the discriminatory ability of the HOSPITAL score in the international validation study (C statistics of 0.72 vs. 0.77) conducted at considerably larger hospitals (975 average beds vs. 507 at MMC) for potentially avoidable hospital readmissions.ConclusionsThe internationally validated HOSPITAL score may be a useful tool in moderate sized community hospitals to identify patients at high risk of hospital readmission within 30 days. This easy to use scoring system using readily available data can be used as part of interventional strategies to reduce the rate of hospital readmission.
| S-EPMC5018668 | biostudies-literature