A novel model for predicting prolonged stay of patients with type-2 diabetes mellitus: a 13-year (2010-2022) multicenter retrospective case-control study.

BACKGROUND: Length of stay (LOS) is an important metric for evaluating the management of inpatients. This study aimed to explore the factors impacting the LOS of inpatients with type-2 diabetes mellitus (T2DM) and develop a predictive model for the early identification of inpatients with prolonged LOS. METHODS: A 13-year multicenter retrospective study was conducted on 83,776 patients with T2DM to develop and validate a clinical predictive tool for prolonged LOS. Least absolute shrinkage and selection operator regression model and multivariable logistic regression analysis were adopted to build the risk model for prolonged LOS, and a nomogram was taken to visualize the model. Furthermore, receiver operating characteristic curves, calibration curves, and decision curve analysis and clinical impact curves were used to respectively validate the discrimination, calibration, and clinical applicability of the model. RESULTS: The result showed that age, cerebral infarction, antihypertensive drug use, antiplatelet and anticoagulant use, past surgical history, past medical history, smoking, drinking, and neutrophil percentage-to-albumin ratio were closely related to the prolonged LOS. Area under the curve values of the nomogram in the training, internal validation, external validation set 1, and external validation set 2 were 0.803 (95% CI [confidence interval] 0.799-0.808), 0.794 (95% CI 0.788-0.800), 0.754 (95% CI 0.739-0.770), and 0.743 (95% CI 0.722-0.763), respectively. The calibration curves indicated that the nomogram had a strong calibration. Besides, decision curve analysis, and clinical impact curves exhibited that the nomogram had favorable clinical practical value. Besides, an online interface ( https://cytjt007.shinyapps.io/prolonged_los/ ) was developed to provide convenient access for users. CONCLUSION: In sum, the proposed model could predict the possible prolonged LOS of inpatients with T2DM and help the clinicians to improve efficiency in bed management.

Characteristics and outcomes of unplanned intensive care unit admission after general anesthesia.

BACKGROUND: Unplanned ICU admission after surgery has been validated as a measure of a quality indicator of perioperative management because it may put surgical patients at risk of increased morbidity and mortality. Postoperative unscheduled admission to the ICU is usually determined either in the post-anesthesia care unit (PACU) or in the general surgical ward; however, it could be expected patient outcomes after ICU admission would be affected by the circumstances. The purpose of this retrospective observational study was to investigate the clinical characteristics and the outcome of unplanned admission to the ICU directly from the PACU or from the ward within 7 days after PACU discharge. METHODS: Forty-three thousand, five hundred fifty-three patients admitted to the PACU after general anesthesia were included in the study. Unplanned ICU admission was defined as the admission which was not anticipated preoperatively but was due to adverse events in the PACU (PACU group) or the ward after discharge from the PACU (Ward group). The following parameters were compared between the groups: patient characteristics, surgical characteristics, length of ICU and hospital stay, the principal adverse event for ICU admission, treatments in the ICU, and in-hospital mortality. The primary outcome was in-hospital mortality and the second was the length of ICU and hospital stay. RESULTS: Among 43,553 patients, 109 patients underwent unplanned ICU admission directly from the PACU (n= 73, 0.17%) or subsequently from the ward (n= 36, 0.08%). The length of both ICU and hospital stay was significantly longer in the Ward group than in the PACU group (1.4 and 19 days vs. 2.5 and 39 days, respectively). There was no significant difference in in-hospital mortality between the groups (4.1% vs. 8.3%, respectively). CONCLUSIONS: The incidence of unplanned ICU admission after PACU stay was low, however, delayed admission to the ICU from the ward may prolong the length of both ICU and hospital stay compared to those directly from the PACU.

Current Data on Effects of Long-Term Missions on the International Space Station on Skin Physiological Parameters.

BACKGROUND: Skin reaction to spaceflight has not really been studied yet, although the skin has a very important barrier function to protect the body and can contribute to a more general understanding of physiology. It is proposed here to make a more thorough investigation of the skin during long-term spaceflight, using noninvasive techniques. AIMS: The aim of the present Skin-B study is to investigate the kinetics and range of possible skin modifications during long-duration spaceflights and their recovery. METHODS: In order to investigate the effect on skin physiological parameters during spaceflight, measurements were carried out on 6 astronauts with respect to skin hydration, transepidermal water loss/barrier function, and surface evaluation of the living skin in orbit. Additional measured parameters on the ground were skin elasticity, skin density and thickness, as well as microcirculation. RESULTS: Data from the Skin-B subjects (n = 6) contradict the results obtained in the previous pilot study SkinCare (n = 1 subject). In the present study, no deterioration of the skin was found but rather an improvement in skin hydration and skin barrier function, and no changes or improvement in the appearance of the skin surface. Furthermore, the skin density and skin thickness as well as skin elasticity values were unchanged from pre-flight values. CONCLUSION: In conclusion, we found that spaceflight under present conditions has no negative impact on skin physiological parameters.

Outcomes and factors associated with prolonged stays among patients admitted to adult intensive care unit in a resource-limited setting: a multicenter chart review.

The length of stay in an intensive care unit is used as a benchmark for measuring resource consumption and quality of care and predicts a higher risk of readmission. The study aimed to assess the outcome and factors associated with prolonged intensive care unit stays among those admitted to adult intensive care units of selected public hospitals in Addis Ababa from January 1, 2022, to December 31, 2022. A multicenter retrospective chart review was conducted involving 409 adult patients. Binary logistic regression was used to assess factors associated with a prolonged stay and chi-square tests were used to assess associations and differences in outcomes for prolonged stays. The study, involving 409 of 421 individuals, revealed a predominantly male (55.0%) and the median age of study participants was 38, with an interquartile range (27, 55). Approximately 16.9% experienced prolonged stays, resulting in a 43.5% mortality rate. After adjustments for confounders, there were significant associations with prolonged stays for sedative/hypnotics, readmission, and complications. The study revealed that for every six patients admitted to the intensive care unit, one patient stayed longer, with nearly half experiencing mortality, demanding increased attention. The study emphasized the critical need for improvement in addressing associations between sedative/hypnotics, readmissions, complications, and prolonged stays.

Identification of Risk Factors Contributing to Prolonged Stay in the Post-anaesthesia Care Unit at a Tertiary Care Hospital in Abu Dhabi, United Arab Emirates.

INTRODUCTION: Post-anesthesia care units (PACU) were developed to reduce postoperative morbidity and mortality and the ideal duration of postoperative stay has been proposed as two hours; however, the incidence and risk factors for prolonged stay are variable. The objective of this study was to assess the incidence of prolonged length of stay in the post-anesthesia care unit at Sheikh Khalifa Medical City (SKMC), Abu Dhabi, United Arab Emirates, and identify the risk factors contributing to it. METHODS AND MATERIALS: This is a retrospective observational study of patients who stayed in the PACU for more than two hours. A total of 2387 patients, both male and female, who underwent surgical procedures between May 2022 to August 2022 at SKMC and were admitted to the PACU after surgery were included in the study and their data were analyzed. RESULTS: Of the 2387 patients who underwent surgical procedures, 43 (1.8%) had prolonged stays in the PACU. Of these, 20 (47%) were adult cases and 23 (53%) were pediatric cases. The main reasons for the delay in discharge from PACU in our study were the non-availability of ward beds (25.5%), followed by pain management (18.6%). CONCLUSIONS: We recommend improving the communication between different specialties, restructuring staffing, implementing changes in perioperative management, and changing operating room scheduling to prevent avoidable reasons contributing to a prolonged stay in the PACU.

Incidence of and Risk Factors for Prolonged Intensive Care Unit Stay After Open Heart Surgery Among Elderly Patients.

OBJECTIVE: Open heart surgery (OHS) is frequently performed on elderly patients. We aimed to investigate the risk factors associated with prolonged intensive care unit (ICU) stay in elderly patients undergoing open heart surgery. MATERIALS AND METHODS: Medical records of all patients ≥ 75 years who underwent OHS (coronary artery bypass grafting (CABG) and/or heart valve surgery) between June 1, 2013, and December 31, 2020, were retrospectively analyzed. Those staying in the ICU longer than five days were determined as prolonged ICU stay. Patients were divided into two groups, according to ICU stay <5 days and ≥5 days. RESULTS: Out of the 198 patients included in the study, 130 (65.7%) were male. Seventy patients (35.4%) had prolonged ICU stay. The mean age was higher in patients within the prolonged ICU stay group when compared to the other group (79.9±3.5 years vs.78.1±2.7 years, p<0.001). The patients who used statins and angiotensin-converting enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARBs) in the preoperative period had a shorter ICU stay compared to those who did not (45% vs 31.4%, p=0.04; 57% vs 42.9%, p=0.03). The history of previous thoracic surgery (2.3% vs 10% p=0.03), emergency surgery (12.5% vs 24.5% p=0.04), and preoperative pacemaker usage (0.8% vs 7%, 1 p=0.01) were higher in the group of patients with prolonged ICU stay compared to the other group. Preoperative ejection fraction (EF)% (47.7±11.3 vs 51.1±8.8, p<0.001) and hemoglobin level (11.8±1.9 mg/dL vs 12.9±1.6, p<0.001) were lower in the group with prolonged ICU stay compared to the other group. Incidence of cardiac arrest (3.9% vs 15.7% p=0.006), presence of arrhythmia (16.4% vs 41.6%,p<0.001), frequency of pacemaker and intra-aortic balloon pump (IABP) usage (0 vs 10% p=0.002; 1.6% vs 8.6% p=0.02), and need for renal replacement therapy (3.1% vs 12.9%,p=0.02) were higher in the group with prolonged ICU stay compared to the other group. According to the logistic regression analysis; higher age (OR: 1.225, 95%CI 1.104-1.360, p<0.001), preoperative pacemaker usage (OR: 0.100, 95%CI 0.01-0.969, p<0.04), preoperative statin non-use (OR: 2.056, 95%CI 1.040-4.066, p<0.03) and preoperative low EF (OR: 0.947, 95%CI 0.915-0.981, p=0.002) were determined as independent risk factors for prolonged ICU stay. CONCLUSION: The incidence of prolonged ICU stay after OHS among patients ≥75 years was 35.4% in our cohort. Higher age, preoperative pacemaker usage, preoperative statin non-use, and low preoperative EF were associated with prolonged ICU stay.

An age-independent hospital record-based frailty score correlates with adverse outcomes after heart surgery and increased health care costs.

Background: Globally, an increasing number of vulnerable or frail patients are undergoing cardiac surgery. However, large-scale frailty data are often limited by the need for time-consuming frailty assessments. This study aimed to (1) create a retrospective registry-based frailty score (FS), (2) determine its effect on outcomes and age, and (3) health care costs. Methods: Retrospective data were obtained from the New Brunswick Heart Centre registry for all cardiac surgery patients between 2012 and 2017. A 20-point FS was created using available binary risk variables. The primary outcomes of interest most relevant to vulnerable patients were prolonged hospitalization, failure to be discharged home, and hospitalization bed cost. Composite outcome of prolonged hospitalization (>8 days) and/or non-home discharge were analyzed using multivariate analysis. Results: A total of 3463 patients (mean age, 66 ± 10 years) were included in the final analysis. Tercile-based FSs were: low (0-4; n = 856), medium (5-7; n = 1709), high (≥8; n = 898). In unadjusted data, frail patients were older with more comorbidities. High FS patients had greater risks of prolonged hospitalization (median 7 vs 5 days; P < .001), lower home-discharge rates (51% vs 83%; P < .001), higher 30-day readmission rates (18% vs 10%; P < .001), and increased 30-day mortality rates (≤0.7% [low], >0.7% to ≤1.2% [medium], and >1.2% to 4.8% [high]; P < .001). After statistical adjustment, the FS was an independent predictor of composite outcome (odds ratio, 1.3: 95% CI, 1.26-1.35), and increased hospital bed costs. Conclusions: A registry-based FS can be used to identify vulnerable or frail patients undergoing cardiac surgery and was associated with poor outcomes independent of age. This highlights that although frailty defined by increased vulnerability is often associated with older age, it is not a surrogate for aging, thereby having important implications in reducing health system costs and efforts to provide streamlined care to the most vulnerable.

Length of Stay in the Emergency Department and Its Associated Factors at Jimma Medical Center, Southwest Ethiopia.

BACKGROUND: Prolonged emergency department stays can adversely affect patient outcomes leading to an increased length of hospital admission and higher mortality. Despite this fact, there are few data describing emergency department length of stay and associated factors in Ethiopia. OBJECTIVE: To assess length of stay in the emergency department and its associated factors among patients visited adult emergency department of Jimma Medical Center, Jimma town, southwest of Ethiopia. METHODS: Institution-based cross-sectional study was conducted from April 9, 2018 to May 11, 2018. Overall, 422 patients presented during study period were sequentially included in the study. A semi-structured questionnaire was used to collect data through interview, observation and medical record review. The collected data were cleaned, entered to Epi-data 3.1 and exported to SPSS version 21 for binary and multivariable logistic regression analysis. To identify factors associated with outcome variable, candidate variables were fitted to multivariable analysis, and those with P-values <0.05 were considered as significantly associated. RESULTS: More than one-third, 162 (38.4%), experienced prolonged length of stay in the emergency department. The odds of prolonged stay were higher among rural area residency (AOR, 3.0; CI, 1.279-7.042), evening presentation (AOR, 4.25; CI, 1.742-10.417), and night-time presentation (AOR, 14.93; CI, 4.22-52.63), and having at least one diagnostic investigation (AOR, 4.48; CI, 1.69-11.88). However, participants who did not experience shift changes of nurses during their stay (AOR, 0.003; CI, 0.001-0.010) had a less prolonged stay. CONCLUSION: A significant proportion of patients experienced a prolonged stay at the emergency department. Age, rural residency, evening and night-time presentation, shift change and having a diagnostic investigation were predictors of prolonged stay. Thus, establishing time-targeted service for patients can reduce the length of stay.

Patterns of paediatric emergency admissions and predictors of prolonged hospital stay at the children emergency room, University of Calabar Teaching Hospital, Calabar, Nigeria.

BACKGROUND: There is a high prevalence of paediatric emergency cases in less developed countries. However, prolonged hospital stay at emergency units may further overstretch the facilities. OBJECTIVE: To assess the patterns of presentations, services offered and predictors of a prolonged stay at the Children Emergency Room of a tertiary hospital in Southern Nigeria. METHODS: This prospective cross-sectional, study was conducted at the University of Calabar Teaching Hospital, Nigeria from 1st January-31st December 2014. Socio-demographic and clinical characteristics of consecutively recruited children (n=633) were recorded in a proforma. Binary logistic regression was conducted to determine predictors of prolonged stay (>72 hours). RESULT: The median age of participants was 2 (1 - 4.6) years. Three-fifths of children were admitted at off-hours and the commonest symptom was fever (73.9%). About 16.4% (95%CI:13.6% - 19.4%, n= 103/633) of the children had prolonged stay while those with sepsis had the longest mean stay (65.5±72.1 hours). Children admitted on account of Sickle cell disease (OR:11.2, 95%CI:1.3-95.1, P-value = 0.03), Malaria (OR:10.7, 95%CI:1.4-82.5, P-value = 0.02) or sepsis (OR:10.5, 95%CI:1.3 - 82.7, P-value = 0.03) had higher odds of prolonged hospital stay. There was no significant difference in hospital stay among children admitted by the consultant as compared to other health personnel (P-value = 0.08). CONCLUSION: Prevention and proper management of Sickle cell disease and malaria reduces paediatric hospital stay in our environment. Paediatric emergency medicine should be re-organized to cater for high volume of off-hour admissions.

Prolonged stay predictors in patients admitted with chronic obstructive pulmonary disease acute exacerbation.

OBJECTIVES: The study aimed to identify the factors related to prolonged stay in those patients admitted with acute exacerbations of chronic obstructive pulmonary disease (AECOPD) to our hospital. METHODS: We conducted a retrospective study by reviewing the medical records of all patients admitted with AECOPD to the University Hospital Complex of Santiago de Compostela in 2007 and 2008. To identify variables independently associated with length of stay, we conducted a logistic regression including those variables which proved to be significant in the univariate analysis. RESULTS: Six hundred and sixty-one patients were assessed; 76.6% were male and the mean age was 74.5 years (standard deviation [SD]: 11.48). The mean stay was 11.9 days (SD: 8) and 24% of all patients required prolonged stay. Factors associated with prolonged mean stay in multivariate analysis were admission to the Intensive Care Unit (odds ratio [OR], 14.7), hospitalization by internal medicine (OR, 2.1), and use of noninvasive mechanical ventilation (OR, 1.75). CONCLUSIONS: Prolonged stay in AECOPD is primarily related to the unit patients are admitted to, and to the need for more intensive care.

Factors associated with prolonged length of stay following cardiac surgery in a major referral hospital in Oman: a retrospective observational study.

OBJECTIVES: Two objectives were set for this study. The first was to identify factors influencing prolonged postoperative length of stay (LOS) following cardiac surgery. The second was to devise a predictive model for prolonged LOS in the cardiac intensive care unit (CICU) based on preoperative factors available at admission and to compare it against two existing cardiac stratification systems. DESIGN: Observational retrospective study. SETTINGS: A tertiary hospital in Oman. PARTICIPANTS: All adult patients who underwent cardiac surgery at a major referral hospital in Oman between 2009 and 2013. RESULTS: 30.5% of the patients had prolonged LOS (≥11 days) after surgery, while 17% experienced prolonged ICU LOS (≥5 days). Factors that were identified to prolong CICU LOS were non-elective surgery, current congestive heart failure (CHF), renal failure, combined coronary artery bypass graft (CABG) and valve surgery, and other non-isolated valve or CABG surgery. Patients were divided into three groups based on their scores. The probabilities of prolonged CICU LOS were 11%, 26% and 28% for group 1, 2 and 3, respectively. The predictive model had an area under the curve of 0.75. Factors associated with prolonged overall postoperative LOS included the body mass index, the type of surgery, cardiopulmonary bypass machine use, packed red blood cells use, non-elective surgery and number of complications. The latter was the most important determinant of postoperative LOS. CONCLUSIONS: Patient management can be tailored for individual patient based on their treatments and personal attributes to optimise resource allocation. Moreover, a simple predictive score system to enable identification of patients at risk of prolonged CICU stay can be developed using data that are routinely collected by most hospitals.