Comparison of scoring systems used in acute pancreatitis for predicting major adverse events.

OBJECTIVES: Timely identification of patients with acute pancreatitis who are likely to have a severe disease course is critical. Based on that, many scoring systems have been developed throughout the years. Although many of them are currently in use, none of them has been proven to be ideal. In this study, we aimed to compare the discriminatory power of relatively newer risk scores with the historical ones for predicting in-hospital major adverse events, 30-day mortality and 30-day readmission rate. PATIENTS AND METHODS: Patients who had been admitted due to acute pancreatitis were retrospectively investigated. Five risk scoring systems including HAPS, Ranson, BISAP, Glasgow, and JSS were calculated using the data of the first 24h of admission. Predictive accuracy of each scoring system was calculated using the area under the receiver-operating curve method. RESULTS: Overall 690 patients were included in the study. In-hospital major adverse events were observed in 139 (20.1%) patients of whom, 19 (2.5%) died during hospitalization. 30-day all-cause mortality and 30-day readmission were observed in 22 (3.2%) and 27 (3.9%) patients respectively. Negative predictive value of each score was markedly higher compared to positive predictive values. Among all, JSS scoring system showed the highest AUC values across all end-points (0.80 for in-hospital major adverse events; 0.94 for in-hospital mortality; 0.91 for 30-day mortality). However, all five scoring systems failed to predict 30-day readmission. DISCUSSION: JSS was the best classifier among all five risk scoring systems particularly owing to its high sensitivity and negative predictive value.

Trends in hospital admissions, re-admissions, and in-hospital mortality among HIV-infected patients between 1993 and 2013: Impact of hepatitis C co-infection.

BACKGROUND: New patterns in epidemiological characteristics of people living with HIV infection (PLWH) and the introduction of Highly Active Antiretroviral Therapy (HAART) have changed the profile of hospital admissions in this population. The aim of this study was to evaluate trends in hospital admissions, re-admissions, and mortality rates in HIV patients and to analyze the role of HCV co-infection. METHODS: A retrospective cohort study conducted on all hospital admissions of HIV patients between 1993 and 2013. The study time was divided in two periods (1993-2002 and 2003-2013) to be compared by conducting a comparative cross-sectional analysis. RESULTS: A total of 22,901 patient-years were included in the analysis, with 6917 hospital admissions, corresponding to 1937 subjects (75% male, mean age 36±11 years, 37% HIV/HCV co-infected patients). The median length of hospital stay was 8 days (5-16), and the 30-day hospital re-admission rate was 20.1%. A significant decrease in hospital admissions related with infectious and psychiatric diseases was observed in the last period (2003-2013), but there was an increase in those related with malignancies, cardiovascular, gastrointestinal, and chronic respiratory diseases. In-hospital mortality remained high (6.8% in the first period vs. 6.3% in the second one), with a progressive increase of non-AIDS-defining illness deaths (37.9% vs. 68.3%, P<.001). The admission rate significantly dropped after 1996 (4.9% yearly), but it was less pronounced in HCV co-infected patients (1.7% yearly). CONCLUSIONS: Hospital admissions due to infectious and psychiatric disorders have decreased, with a significant increase in non-AIDS-defining malignancies, cardiovascular, and chronic respiratory diseases. In-hospital mortality is currently still high, but mainly because of non-AIDS-defining illnesses. HCV co-infection increased the hospital stay and re-admissions during the study period.

Skin and soft-tissue infections: Factors associated with mortality and re-admissions.

INTRODUCTION: Skin and soft-tissue infections (SSTIs) are common and are linked to a wide variety of clinical conditions. Few studies have analysed the factors associated with mortality and re-admissions in medical patients with SSTIs. Accordingly, this study sought to describe the clinical and microbiological characteristics of patients diagnosed with SSTIs, and identify mortality and re-admission related factors. PATIENTS AND METHODS: A total of 308 patients were included in the study. Clinical, socio-demographic and microbiological characteristics were collected. Univariate and logistic regression multivariate analyses were performed in order to identify factors associated with mortality and re-admission. RESULTS: The bacteria responsible were identified in 95 (30.8%) patients, with gram-positive bacteria being isolated in 67.4% and gram-negative in 55.8% of cases. Multi-resistant bacteria were frequent (39%), and the initial empirical treatment proved inadequate in 25.3% of all cases. In-hospital mortality was 14.9%; the related variables were heart failure (OR=5.96; 95%CI: 1.93-18.47), chronic renal disease (OR=6.04; 95%CI: 1.80-20.22), necrotic infection (OR=4.33; 95%CI: 1.26-14.95), and inadequate empirical treatment (OR=44.74; 95%CI: 5.40-370.73). Six-month mortality was 8%, with the main related factors being chronic renal disease (OR: 3.03; 95%CI: 1.06-8.66), and a Barthel Index score of under 20 (OR: 3.62; 95%CI: 1.17-11.21). Re-admission was necessary in 26.3% of cases, with the readmission-related variables being male gender (OR: 2.12; 95%CI: 1.14-3.94), peripheral vascular disease (OR: 3.05; 95%CI: 1.25-7.41), and an age-adjusted Charlson Comorbidity Index score of over 3 (OR: 3.27; 95%CI: 1.40-7.63). CONCLUSIONS: Clinical variables such as heart failure, chronic renal disease, peripheral vascular disease, and necrotic infection could help identify high-risk patients. The main factor associated with higher mortality was inadequate initial empirical treatment. Physicians should consider gram-negative, and even extended-spectrum beta-lactamase-producing bacteria when assigning initial empirical treatment for SSTIs, especially in healthcare-associated cases.

[Incidence and risk factors of 30-day readmission in neurosurgical patients]. / Incidencia y factores de riesgo de reingreso hospitalario a los 30 días en pacientes neuroquirúrgicos.

AIM: The 30-day readmission rate has become an important indicator of health care quality. This study focuses on the incidence of 30-day readmission in neurosurgical patients and related risk factors. MATERIAL AND METHODS: A retrospective review was performed on patients treated in a neurosurgery department between 1 January 2012 and the 31 December 2013. Patients requiring readmission within 30 days of discharge and the readmission diagnosis were identified, and the factors related to their readmission were analysed. RESULTS: A total of 1,854 interventions were carried out on 1,739 patients during the aforementioned (study) period. Of the remaining patients, 174 (10.2%) required readmission within 30 days of discharge. The main causes of readmission were problems related to the surgical wound (21.2% of all readmissions), followed by respiratory processes (18.8%). A total of 73.9% of readmissions occurred in patients who had undergone cranial surgery. Multiple comorbidities estimated by Charlson comorbidity index and length of hospital stay were identified as factors related to a higher readmission rate. CONCLUSIONS: The 30-day readmission rate observed in our series was 10.2%. Multiple comorbidity expressed by the Charlson comorbidity index and length of hospital stay were related to readmission.

[Effect of drug interaction between clopidogrel and omeprazole in hospital readmision of patients by a recurrent acute coronary syndrome: a case-control study]. / Efecto de la interacción clopidogrel-omeprazol en el reingreso hospitalario de pacientes por recidiva de síndrome coronario agudo: estudio de casos y controles.

OBJECTIVE: To evaluate the effect of drug interaction between omeprazol and clopidogrel in hospital readmission of patients with acute coronary syndrome (ACS). DESIGN: Case-control study. LOCATION: University Clinic LeonXIII, Medellin, Colombia. PARTICIPANTS: We selected from a prevalent population, between 2009-2010, use of clopidogrel patients on an outpatient basis (less than one year and more than 30days), and hospital stay for ACS or the presence of a previous ACS. MAIN MEASURES: A case-patient was defined as one who had a recurrence of ACS and a patient-control is defined as one that no recurrence of ACS. Both groups used ambulatory prior clopidogrel due to ACS. As defined risk factor the joint use of omeprazole and clopidogrel outpatients. RESULTS: During the study, 1680patients clopidogrel formulated. This group identified 50cases readmitted with ACS and 76controls. No statistically significant association was found between use of clopidogrel-omeprazole and increased risk of hospital readmission for ACS (OR: 1.05; 95%CI: 0.516-2.152; P=.8851). CONCLUSIONS: In this small group of patients with previous SCA, the simultaneous use of clopidogrel with omeprazole does not increase the risk of a readmission by recurrence of this type of coronary event.

[Application of the Community Assessment Risk Screen in Primary Care centres of the Valencia Health System]. / Aplicación de The Community Assessment Risk Screen en centros de atención primaria del Sistema Sanitario Valenciano.

OBJECTIVE: Application of The Community Assessment Risk Screen (CARS) tool for detection of chronic elderly patients at risk of hospital readmission and the viability study for its inclusion in health information systems. DESIGN: Retrospective cohort study. LOCATION: Health Departments 6, 10, and 11 from the Valencia Community. PARTICIPANTS: Patients of 65 and over seen in 6 Primary Care centres in December 2008. The sample consisted of 500 patients (sampling error=±4.37%, sampling fraction=1/307). VARIABLES: The CARS tools includes 3items: Diagnostics (heart diseases, diabetes, myocardial infarction, stroke, COPD, cancer), number of prescribed drugs and hospital admissions or emergency room visits in the previous 6months. The data came from SIA-Abucasis, GAIA and MDS, and were compared by Primary Care professionals. The end-point was hospital admission in 2009. RESULTS: CARS risk levels are related to future readmission (P<.001). The value of sensitivity and specificity is 0.64; the tool accurately identifies patients with low probability of being hospitalized in the future (negative predictive value=0.91, diagnostic efficacy=0.67), but has a positive predictive value of 0.24. CONCLUSIONS: CARS does not properly identify the population at high risk of hospital readmission. However, if it could be revised and the positive predictive value improved, it could be incorporated into the Primary Care computer systems and be useful in the initial screening and grouping of chronic patients at risk of hospital readmission.

Risk factors for readmission after a cholecystectomy: a case-control study.

OBJECTIVE: The aim of this study was to assess the risk factors associated with 30-day hospital readmissions after a cholecystectomy. METHODS: We conducted a case-control study, with data obtained from UC-Christus from Santiago, Chile. All patients who underwent a cholecystectomy between January 2015 and December 2019 were included in the study. We identified all patients readmitted after a cholecystectomy and compared them with a randomized control group. Univariate and multivariate analyses were conducted to identify risk factors. RESULTS: Of the 4866 cholecystectomies performed between 2015 and 2019, 79 patients presented 30-day hospital readmission after the surgical procedure (1.6%). We identified as risk factors for readmission in the univariate analysis the presence of a solid tumor at the moment of cholecystectomy (OR = 7.58), high pre-operative direct bilirubin (OR = 2.52), high pre-operative alkaline phosphatase (OR = 3.25), emergency admission (OR = 2.04), choledocholithiasis on admission (OR = 4.34), additional surgical procedure during the cholecystectomy (OR = 4.12), and post-operative complications. In the multivariate analysis, the performance of an additional surgical procedure during cholecystectomy was statistically significant (OR = 4.24). CONCLUSION: Performing an additional surgical procedure during cholecystectomy was identified as a risk factor associated with 30-day hospital readmission.

OBJETIVO: El objetivo de este estudio fue evaluar los factores de riesgo asociados al reingreso hospitalario en los primeros 30 días post colecistectomía. MÉTODOS: Estudio de casos-controles con datos obtenidos del Hospital Clínico de la UC-Christus, Santiago, Chile. Se ­incluyeron las colecistectomías realizadas entre los años 2015-2019. Se consideraron como casos aquellos pacientes que reingresaron en los 30 primeros días posterior a una colecistectomía. Se realizó un análisis univariado y multivariado de diferentes posibles factores de riesgo. RESULTADOS: De un total de 4866 colecistectomías, 79 pacientes presentaron reingreso hospitalario. Los resultados estadísticamente significativos en el análisis univariado fueron; tumor sólido al momento de la colecistectomía (OR = 7.58) bilirrubina directa preoperatoria alterada (OR = 2.52), fosfatasa alcalina preoperatoria alterada (OR = 3.25), ingreso de urgencia (OR = 2.04), coledocolitiasis al ingreso (OR = 4.34) realización de otros procedimientos (OR = 4.12) y complicaciones postoperatorias. En el análisis multivariado sólo la realización de otro procedimiento durante la colecistectomía fue estadísticamente significativa (OR = 4.24). CONCLUSIÓN: La realización de otros procedimientos durante la colecistectomía es un factor de riesgo de reingreso hospitalario en los 30 días posteriores a la colecistectomía.

[Hospital admissions and outcomes for systolic and diastolic heart failure in Spain between 2016 and 2019: A population-based study]. / Hospitalizaciones y eventos por insuficiencia cardiaca sistólica y diastólica en España entre 2016 y 2019. Un estudio de base poblacional.

BACKGROUND AND PURPOSE: In Spain there is a lack of population data that specifically compare hospitalization for systolic and diastolic heart failure (HF). We assessed clinical characteristics, in-hospital mortality and 30-day cardiovascular readmission rates differentiating by HF type. METHODS: We conducted a retrospective observational study of patients discharged with the principal diagnosis of HF from The National Health System' acute hospital during 2016-2019, distinguishing between systolic and diastolic HF. The source of the data was the Minimum Basic Data Set. The risk-standardized in-hospital mortality ratio and risk-standardized 30-day cardiovascular readmission ratio were calculated using multilevel risk adjustment models. RESULTS: The 190,200 episodes of HF were selected. Of these, 163,727 (86.1%) were classified as diastolic HF and were characterized by older age, higher proportion of women, diabetes mellitus, dementia and renal failure than those with systolic HF. In the multilevel risk adjustment models, diastolic HF was a protective factor for both in-hospital mortality (odds ratio [OR]: 0.79; 95% confidence interval [CI]: 0.75-0.83; P<.001) and 30-day cardiovascular readmission versus systolic HF (OR: 0.93; 95% CI: 0.88-0.97; P=.002). CONCLUSIONS: In Spain, between 2016 and 2019, hospitalization episodes for HF were mostly due to diastolic HF. According to the multilevel risk adjustment models, diastolic HF compared to systolic HF was a protective factor for both in-hospital mortality and 30-day cardiovascular readmission.

Thirty-day readmissions in children with complex chronic conditions.

INTRODUCTION: The rate of hospital readmission within 30 days of discharge is a quality indicator in health care. Paediatric patients with complex chronic conditions have high readmission rates. Failure in the transition between hospital and home care could explain this phenomenon. OBJECTIVES: To estimate the incidence rate of 30-day hospital readmission in paediatric patients with complex chronic conditions, estimate how many are potentially preventable and explore factors associated with readmission. MATERIALS AND METHOD: Cohort study including hospitalised patients with complex chronic conditions aged 1 month to 18 years. Patients with cancer or with congenital heart disease requiring surgical correction were excluded. The outcomes assessed were 30-day readmission rate and potentially preventable readmissions. We analysed sociodemographic, geographic, clinical and transition to home care characteristics as factors potentially associated with readmission. RESULTS: The study included 171 hospitalizations, and 28 patients were readmitted within 30 days (16.4%; 95% CI, 11.6%-22.7%). Of the 28 readmissions, 23 were potentially preventable (82.1%; 95% CI, 64.4%-92.1%). Respiratory disease was associated with a higher probability of readmission. There was no association between 30-day readmission and the characteristics of the transition to home care. CONCLUSIONS: The 30-day readmission rate in patients with complex chronic disease was 16.4%, and 82.1% of readmissions were potentially preventable. Respiratory disease was the only identified risk factor for 30-day readmission.

Predictors of postoperative complications and readmissions in laparoscopic pancreas resection: Results of a cohort 105 consecutive cases. A retrospective study.

INTRODUCTION: Laparoscopic resection of the pancreas (LRP) has been implemented to a varying degree because it is technically demanding and requires a long learning curve. In the present study we analyze the risk factors for complications and hospital readmissions in a single center study of 105 consecutive LRPs. METHODS: We conducted a retrospective study using a prospective database. Data were collected on age, gender, BMI, ASA score, type of surgery, histologic type, operative time, hospital stay, postoperative complications, degree of severity and hospital readmission. RESULTS: The cohort included 105 patients, 63 females and 42 males with a median age and BMI of 58 (53-70) and 25.5 (22,2-27.9) respectively. Eighteen (17%) central pancreatectomies, 5 (4.8%) enucleations, 81 (77.6%) distal pancreatectomies and one total pancreatectomy were performed. Fifty-six patients (53.3%) experienced some type of complication, of which 13 (12.3%) were severe (Clavien-Dindo > IIIb) and 11 (10.5%) patients were readmitted in the first 30 days after surgery. In the univariate analysis, age, male gender, ASA score, central pancreatectomy and operative time were significantly associated with the development of complications (P <0.05). In the multivariate analysis, male gender (OR 7.97; 95% CI 1.08-58.88)), severe complications (OR 59.40; 95% CI, 7.69-458.99), and the development of intrabdominal collections (OR 8.97; 95% CI, 1.28-63.02)) were associated with hospital readmission. CONCLUSIONS: Age, male gender, ASA score, operative time and central pancreatectomy are associated with a higher incidence of complications. Male gender, severe complications and intraabdominal collections are associated with more hospital readmissions.

Early readmissions post kidney transplantation: lessons learned.

INTRODUCTION: Kidney transplantation (KT) is the gold standard treatment for end-stage renal disease (ESRD) patients. Hospital readmissions post-transplant is a common complication and can be considered an indication of avoidable morbidity and hospital quality, and there is a significant correlation between EHR and adverse patient outcomes. This study aimed to assess the readmission rate following kidney transplants, the underlying causes, and possible ways to prevent it. MATERIAL AND METHODS: We retrospectively reviewed the medical records of recipients from January 2016 to December 2021 in a single center. The primary objective of this study is to find the readmission rate for kidney transplants and the variables that contribute to readmission. Post-transplant complications that were resulted in the readmission categorized into surgical complications, graft-related complications, infections, DVT, and other medical complications. RESULTS: Four hundred seventy-four renal allograft recipients met our inclusion criteria and were included in the study. 248 (52.3%) of the allograft recipients had at least one readmission during the first 90 days after the transplantation. 89 (18.8%) allograft recipients had more than one readmission episode in the first 90 days post-transplant. The perinephric fluid collection was the most common surgical complication (52.4%), and UTI was the most common infection (50%), causing readmission in the first 90 days post-transplant. The readmission odd ratio was significantly higher in patients above 60 years old and in kidneys with KDPI ≥ 85, and in recipients with DGF. CONCLUSION: Early hospital readmission (EHR) following a kidney transplant is a common complication. Identifying the causes not only helps the transplant centers to take further steps to prevent some incidents and help to improve the patients' morbidities and mortalities, but also it can reduce the unnecessary costs of readmissions.

Validation of the COVID-19-12O score for predicting readmissions/revisits in patients with SARS-CoV-2 pneumonia discharged from the emergency department.

OBJECTIVE: The COVID-19-12O-score has been validated to determine the risk of respiratory failure in patients hospitalized for COVID-19. Our study aims to assess whether the score is effective in patients with SARS-CoV-2 pneumonia discharged from a hospital emergency department (HED) to predict readmission and revisit. METHOD: Retrospective cohort of patients with SARS-CoV-2 pneumonia discharged consecutively from an HUS of a tertiary hospital, from January 7 to February 17, 2021, where we applied the COVID-19-12O -score, with a cut-off point of 9 points to define the risk of admission or revisit. The primary outcome variable was revisit with or without hospital readmission after 30 days of discharge from HUS. RESULTS: We included 77 patients, with a median age of 59 years, 63.6% men and Charlson index of 2. 9.1% had an emergency room revisit and 15.3% had a deferred hospital admission. The relative risk (RR) for emergency journal was 0.46 (0.04-4.62, 95% CI, p=0.452), and the RR for hospital readmission was 6.88 (1.20-39.49, 95% CI, p<0.005). CONCLUSIONS: The COVID-19-12O -score is effective in determining the risk of hospital readmission in patients discharged from HED with SARS-CoV-2 pneumonia, but is not useful for assessing the risk of revisit.

Lower mortality and readmission in patients with few comorbidities who underwent hip fracture surgery and were discharged early. / Menor mortalidad y reingreso en pacientes con pocas comorbilidades intervenidos de fractura de cadera y con alta precoz.

INTRODUCTION: Preoperative delay in patients with hip fracture surgery (HF) has been associated with poorer outcomes; however, the optimal timing of discharge from hospital after surgery has been little studied. The aim of this study was to determine mortality and readmission outcomes in HF patients with and without early hospital discharge. MATERIAL AND METHODS: A retrospective observational study was conducted selecting 607 patients over 65years of age with HF intervened between January 2015 and December 2019, from which 164 patients with fewer comorbidities and ASA ≤II were included for analysis and divided according to their postoperative hospital stay into early discharge or stay ≤4 days (n=115), and non-early or post-operative stay >4days (n=49). Demographic characteristics; fracture and surgical-related characteristics; 30-day and one-year postoperative mortality rates; 30-day postoperative hospital readmission rate; and medical or surgical cause were recorded. RESULTS: In the early discharge group all outcomes were better compared to the non-early discharge group: lower 30-day (0.9% vs 4.1%, P=.16) and 1-year postoperative (4.3% vs 16.3%, P=.009) mortality rates, as well as a lower rate of hospital readmission for medical reasons (7.8% vs 16.3%, P=.037). CONCLUSIONS: In the present study, the early discharge group obtained better results 30-day and 1-year postoperative mortality indicators, as well as readmission for medical reasons.

[Impact of early follow-up from primary care on 30days readmission after heart failure hospitalization]. / Impacto del seguimiento precoz desde atención primaria en el reingreso a 30días tras el alta hospitalaria por insuficiencia cardiaca.

INTRODUCTION: Reducing heart failure (HF) admissions is one of the main objectives in disease control, due to its impact on prognosis and costs. The transitional models at discharge are imposed as a strategy capable of reducing hospitalizations, most of them based on specific hospital units. We analyzed the impact of the primary care (PC) post-discharge follow-up. MATERIAL AND METHODS: Retrospective observational study at the referral area of a tertiary hospital. Linear regression analysis was performed between early follow-up from the PC center after HF admission rate and the 30-day all-cause readmission rate throughout 2021. RESULTS: The degree of follow-up from PC after hospital discharge for heart failure is associated with fewer 30-day readmissions for all causes (Pearson's R=0.53, P=.02); with a decrease of 20%, similar to that observed when it is performed from other care facilities and which is maintained when adjusting for the complexity of the patients. CONCLUSIONS: PC heart failure post-discharge follow-up could be effective in reducing hospitalizations, and is complementary to that carried out by hospital units.

[Translated article] Lower mortality and readmission in patients with few comorbidities who underwent hip fracture surgery and were discharged early.

INTRODUCTION: Pre-operative delay in patients with hip fracture surgery (HF) has been associated with poorer outcomes; however, the optimal timing of discharge from hospital after surgery has been little studied. The aim of this study was to determine mortality and readmission outcomes in HF patients with and without early hospital discharge. MATERIAL AND METHODS: A retrospective observational study was conducted selecting 607 patients over 65years of age with HF intervened between January 2015 and December 2019, from which 164 patients with fewer comorbidities and ASA≤II were included for analysis and divided according to their post-operative hospital stay into early discharge or stay ≤4 days (n=115), and non-early or post-operative stay >4days (n=49). Demographic characteristics; fracture and surgical-related characteristics; 30-day and one-year post-operative mortality rates; 30-day post-operative hospital readmission rate; and medical or surgical cause were recorded. RESULTS: In the early discharge group all outcomes were better compared to the non-early discharge group: lower 30-day (0.9% versus 4.1%, p=.16) and 1-year post-operative (4.3% versus 16.3%, p=.009) mortality rates, as well as a lower rate of hospital readmission for medical reasons (7.8% versus 16.3%, p=.037). CONCLUSIONS: In the present study, the early discharge group obtained better results 30-day and 1-year post-operative mortality indicators, as well as readmission for medical reasons.

Risk factors for readmission to ICU and analysis of intra-hospital mortality. / Factores de riesgo de reingreso en UCI y análisis de la mortalidad intrahospitalaria.

INTRODUCTION: Critical patients, despite initial recovery in the intensive care unit (ICU), may require readmission to the ICU or even die in the same hospital episode. The objectives are to determine the incidence and to identify risk factors for ICU readmission, and to determine hospital mortality. METHODS: Observational cohort study of all patients admitted consecutively for more than 24hours to the ICU of the University Hospital of Getafe between April 1, 2018 and September 30, 2018 and discharged alive from their first ICU admission. RESULTS: Of the 164 patients alive at ICU discharge, 14 (8.5%) were readmitted to ICU (2.4% at≤48hours). The adjusted risk of ICU readmission was higher in patients with disabling neurological deficits prior to ICU admission [odds ratio (OR) 7.96, 95% confidence interval (CI) 1.55-40.92] or who received vasoactive drugs (OR 5.07, 95% CI 1.41-18.29) during their ICU stay. Readmitted patients had higher hospital mortality (4 of 14 [29%] versus 5 of 150 [3%], P<.001) and longer hospital stay (74.5 [37.5-99.75] days versus 16 [9-34] days, median [interquartile range], P=.001). CONCLUSIONS: Patients with disabling neurological deficits prior to hospital admission or who received vasoactive drugs during their ICU stay have a higher risk of readmission to the ICU, which increases hospital stay and mortality.

Determination of factors associated with early readmission of patients with mental illness in two cities in Colombia during 2018.

INTRODUCTION: Early rehospitalisation in mental health units (SMHUs) is when a patient needs to be readmitted in the first 30 days after receiving discharge, and is mainly due to recurrent decompensation of their mental illness. This phenomenon is related to a worse prognosis and has an impact on the family, social and work environment. Absenteeism from work and additional hospital time are expenses for the health and employment system which have made rehospitalisation a phenomenon of special interest. The present study was carried out with the objective of exploring the factors associated with the readmission of patients with psychiatric illnesses treated in two MHUs during 2018, as well as those modifiable factors that act as protection for this condition. METHODS: Observational, descriptive study with analytical component of cases and controls in two MHUs in different cities of Colombia. Information was obtained by collecting data from the medical records of patients who were admitted between 1 January 2018 and 31 December 2018. The data were collected between 20 February and 27 May 2019. The sample was composed of all the patients who met the criteria for early readmission in both institutions. The study group consisted of 113 patients: (28 cases and 85 controls), matched by by the variables: age, sex, place of hospitalisation and diagnosis. RESULTS: In the two hospital MHUs the diagnoses found were: depression (15.5%), bipolar affective disorder (33.1%) and schizophrenia (37.3%). In Bogotá, the most prevalent was depression (31.1%) and, in Tunja, it was schizophrenia (44.8%). For both institutions, the factor most associated with readmission was alcohol consumption, but other variables of treatment, family nucleus, and individual intervention were also associated with a greater probability of early readmission. CONCLUSIONS: It was possible to demonstrate that the use of atypical and/or depot antipsychotics, hospitalisations longer than 15 days, and prescriptions of less than three drugs at discharge, reduce the number of early readmissions to MHUs.

Short-term outcomes of patients with a long stay in an internal medicine service.

OBJECTIVE: To describe the characteristics and short-term prognostic factors of patients with prolonged stay in internal medicine. MATERIAL AND METHODS: Retrospective case series study including patients admitted to an Internal Medicine service of a university hospital with lengths of stay greater than 30 days during 5 years. Information was obtained from the Minimum Basic Data Set. Outcome variables were a very long length of stay, in-hospital mortality, and adverse outcomes in the first 30 days after discharge. RESULTS: Out of 11,948 patients, 335 (2.8%) cases had a prolonged stay. The total length of stay was 15,271 days (15% of the total length of stay of the service). The mean age was 74.5 (±13.9) years, 180 (53.7%) were male. The median length of stay was 39 (RIC 34-49) days. Intensive Care Unit admission (OR = 2.5; 95%CI 1.4-4.7; p = 0.003) and receiving a geriatric assessment (OR = 0.3; 95%CI 0.8-0.9; p = 0.042) were independent factors with an effect on very long length of stay. Having an admission in the previous year was an independent factor for an adverse outcome 30 days after discharge (OR = 2.2; 95%CI 1.0-4.8). CONCLUSIONS: The percentage of patients with prolonged length of stay is less than 3%, but they have a high impact on the activity of an internal medicine service. There are factors associated with a very long length of stay and with the presence of an early adverse outcome after discharge.

Spontaneous coronary artery dissection in Spain: a study using the minimum data set of the Spanish National Health System.

INTRODUCTION AND OBJECTIVES: Spontaneous coronary artery dissection (SCAD) is a rare cause of acute myocardial infarction (AMI). We sought to compare the results on in-hospital mortality and 30-day readmission rates among patients with AMI-SCAD vs AMI due to other causes (AMI-non-SCAD). METHODS: Risk-standardized in-hospital mortality (rIMR) and risk-standardized 30-day readmission ratios (rRAR) were calculated using the minimum dataset of the Spanish National Health System (2016-2019). RESULTS: A total of 806 episodes of AMI-SCAD were compared with 119 425 episodes of AMI-non-SCAD. Patients with AMI-SCAD were younger and more frequently female than those with AMI-non-SCAD. Crude in-hospital mortality was lower (3% vs 7.6%; P<.001) and rIMR higher (7.6±1.7% vs 7.4±1.7%; P=.019) in AMI-SCAD. However, after propensity score adjustment (806 pairs), the mortality rate was similar in the 2 groups (AdjOR, 1.15; 95%CI, 0.61-2,2; P=.653). Crude 30-day readmission rates were also similar in the 2 groups (4.6% vs 5%, P=.67) whereas rRAR were lower (4.7±1% vs 4.8%±1%; P=.015) in patients with AMI-SCAD. Again, after propensity score adjustment (715 pairs) readmission rates were similar in the 2 groups (AdjOR, 1.14; 95%CI, 0.67-1.98; P=.603). CONCLUSIONS: In-hospital mortality and readmission rates are similar in patients with AMI-SCAD and AMI-non-SCAD when adjusted for the differences in baseline characteristics. These findings underscore the need to optimize the management, treatment, and clinical follow-up of patients with SCAD.

Enhanced pharmaceutical recovery as postoperative standard care after radical cystectomy: A meta-analysis.

INTRODUCTION: We performed a meta-analysis to evaluate the effect of enhanced pharmaceutical recovery as postoperative standard care after radical cystectomy. METHODS: A systematic literature search up to April 2021 was done and 33 studies included 6596 subjects submitted to surgery for radical cystectomy at the start of the study; 3143 of them received enhanced pharmaceutical recovery after surgery and 3453 were controls. The studies reported relationships about the effects of enhanced pharmaceutical recovery as postoperative standard care after radical cystectomy. We calculated the odds ratio (OR) and mean difference (MD) with 95% confidence intervals (CIs) to assess the effects of enhanced pharmaceutical recovery as postoperative standard care after radical cystectomy using the dichotomous and continuous methods with a random or fixed-effect model. RESULTS: Enhanced pharmaceutical recovery after surgery had significantly lower length of hospital stay (MD, -2.78; 95% CI, -3.59 to -1.97, p < 0.001), complications (OR, 0.75; 95% CI, 0.60-0.94, p = 0.01), readmission within 30 days (OR, 0.80; 95% CI, 0.69-0.94, p = 0.007), and time to defecation (MD, -1.30; 95% CI, -2.22 to -0.37, p = 0.006) compared to control in subjects submitted to radical cystectomy. CONCLUSIONS: Enhanced pharmaceutical recovery after surgery may reduce the length of hospital stay, complications, readmission within 30 days, and time to first bowel movement compared to control in subjects with surgery for radical cystectomy. Furthers studies are required to validate these findings.