Admission Type Research Articles

Prediction of Long-Term Physical, Mental, and Cognitive Problems Following Critical Illness: Development and External Validation of the PROSPECT Prediction Model.

ICU survivors often suffer from long-lasting physical, mental, and cognitive health problems after hospital discharge. As several interventions that treat or prevent these problems already start during ICU stay, patients at high risk should be identified early. This study aimed to develop a model for early prediction of post-ICU health problems within 48 hours after ICU admission. Prospective cohort study in seven Dutch ICUs. ICU patients older than 16 years and admitted for greater than or equal to 12 hours between July 2016 and March 2020. None. Outcomes were physical problems (fatigue or ≥ 3 new physical symptoms), mental problems (anxiety, depression, or post-traumatic stress disorder), and cognitive impairment. Patient record data and questionnaire data were collected at ICU admission, and after 3 and 12 months, of 2,476 patients. Several models predicting physical, mental, or cognitive problems and a composite score at 3 and 12 months were developed using variables collected within 48 hours after ICU admission. Based on performance and clinical feasibility, a model, PROSPECT, predicting post-ICU health problems at 3 months was chosen, including the predictors of chronic obstructive pulmonary disease, admission type, expected length of ICU stay greater than or equal to 2 days, and preadmission anxiety and fatigue. Internal validation using bootstrapping on data of the largest hospital ( n = 1,244) yielded a C -statistic of 0.73 (95% CI, 0.70-0.76). External validation was performed on data ( n = 864) from the other six hospitals with a C -statistic of 0.77 (95% CI, 0.73-0.80). The developed and externally validated PROSPECT model can be used within 48 hours after ICU admission for identifying patients with an increased risk of post-ICU problems 3 months after ICU admission. Timely preventive interventions starting during ICU admission and follow-up care can prevent or mitigate post-ICU problems in these high-risk patients.

Strain on Scarce Intensive Care Beds Drives Reduced Patient Volumes, Patient Selection, and Worse Outcome: A National Cohort Study.

Strain on ICUs during the COVID-19 pandemic required stringent triage at the ICU to distribute resources appropriately. This could have resulted in reduced patient volumes, patient selection, and worse outcome of non-COVID-19 patients, especially during the pandemic peaks when the strain on ICUs was extreme. We analyzed this potential impact on the non-COVID-19 patients. A national cohort study. Data of 71 Dutch ICUs. A total of 120,393 patients in the pandemic non-COVID-19 cohort (from March 1, 2020 to February 28, 2022) and 164,737 patients in the prepandemic cohort (from January 1, 2018 to December 31, 2019). None. Volume, patient characteristics, and mortality were compared between the pandemic non-COVID-19 cohort and the prepandemic cohort, focusing on the pandemic period and its peaks, with attention to strata of specific admission types, diagnoses, and severity. The number of admitted non-COVID-19 patients during the pandemic period and its peaks were, respectively, 26.9% and 34.2% lower compared with the prepandemic cohort. The pandemic non-COVID-19 cohort consisted of fewer medical patients (48.1% vs. 50.7%), fewer patients with comorbidities (36.5% vs. 40.6%), and more patients on mechanical ventilation (45.3% vs. 42.4%) and vasoactive medication (44.7% vs. 38.4%) compared with the prepandemic cohort. Case-mix adjusted mortality during the pandemic period and its peaks was higher compared with the prepandemic period, odds ratios were, respectively, 1.08 (95% CI, 1.05-1.11) and 1.10 (95% CI, 1.07-1.13). In non-COVID-19 patients the strain on healthcare has driven lower patient volume, selection of fewer comorbid patients who required more intensive support, and a modest increase in the case-mix adjusted mortality.

Impact of COVID-19 visitation policies and hospital capacity on discharge readiness in medicine patients

BackgroundCOVID-19 impacted the experience of being hospitalized with the widespread adoption of strict visitation policies to ensure healthcare worker safety. One result was decreased time of caregivers at the bedside of hospitalized patients.ObjectiveTo understand the impact of pandemic-related system effects on patient-reported discharge preparation.DesignThis mixed methods study included interviews with a sample of discharged patients during April 2020, and quantitative hospital data from April 2020 to February 2021.Participants616 patients completed a measure of discharge readiness on their day of discharge and 38 patients completed interviews about their discharge experiences.Main measuresReadiness for discharge (RHDS), visitation policies, ward structure changes, COVID-19-unit census, time into the COVID-19 pandemic, patient characteristics (age, sex, race/ethnicity), admission type (planned/unplanned, for COVID-19), and discharge destination (home, home health, skilled nursing).Key resultsAdult patients aged 30–45 (vs. young and older adult patients) and those being discharged to places other than home (e.g., skilled nursing facility) or to out-of-state residences report lower readiness (p < 0.05) on RHDS. Patient interviews revealed some gaps in discharge communication but, overall, patients expressed high discharge readiness and few concerns about how COVID-19 system changes impacted their discharge preparation.ConclusionsWhile there is some evidence that visitation policies and unit census may impact patient perceptions of discharge preparation, personal characteristics contributed more significantly to discharge readiness than system changes during COVID-19. Participant interviews demonstrated agreement, as most participants were discharged home and identified strong personal feelings of readiness for discharge.Clinical trials registration: ClinicalTrials.gov ID NCT04248738, https://clinicaltrials.gov/ct2/show/NCT04248738.

Comorbidity in the aging population with multiple sclerosis: a Danish nationwide study

IntroductionMultiple sclerosis (MS) is a neurodegenerative disease accumulating disabilities over time. However, the mean age of individuals with MS is increasing, consequently elevating their risk of developing comorbidities. Comorbidities' impact on MS is widely debated. Yet very few countries possess population-based registries, which provide unique opportunities for individual-level data linkage. This study aims to assess acute and chronic comorbidities among elderly patients with MS, comparing them to matched controls. Additionally, this study seeks to investigate the influence of chronic comorbidities on all-cause mortality.MethodsA nationwide register-based study using the Danish Multiple Sclerosis Registry to identify all living patients with MS older than 50 years at the reference date (January 1st, 2022). Patients were matched 1:10 with individuals from the general population. Comprehensive healthcare data within the Danish hospital system were obtained. Chronic comorbidities were classified according to the Charlson Comorbidity Index, while acute comorbidities were based on ICD-10 codes and an “acute” admission type. To investigate all-cause mortality, a Cox regression analysis was conducted.ResultsThe study encompassed a total of 8,688 individuals with MS, matched with 86,880 controls. The mean age was 63.5 years, with females constituting 68.3%. Individuals with MS exhibited a higher frequency of acute hospitalizations (OR: 2.1, 95% CI: 1.9–2.2), primarily due to various infectious diseases, along with longer median hospital stays (4 vs. 3 days, p &amp;lt; 0.001). When assessed using the Charlson Comorbidity Index, individuals with MS carried a significantly greater burden of chronic comorbidities (p &amp;lt; 0.001). The most prevalent chronic comorbidity among individuals with MS was “Uncomplicated Diabetes” (20.1%). Notably, while individuals with MS displayed an overall lower 5-year survival rate, this difference ceased to be statistically significant among those with a high Charlson Comorbidity Index score of ≥4 (p = 0.32).ConclusionThis study highlights a heightened prevalence of both acute and chronic comorbidities among individuals with MS, with chronic comorbidities significantly increasing the risk of mortality. These findings underscore the critical importance of factoring in comorbidities when devising treatment strategies for individuals living with MS.

The use and costs of same-day surgery versus overnight admission for total thyroidectomy: A multi-state, all-payer analysis

BackgroundOutpatient thyroidectomy is increasingly favored, given evidence of safety and convenience for selected patients. However, the prevalence of same-day discharge is unclear. We aimed to evaluate temporal trends, hospital characteristics, and costs associated with same-day discharge after total thyroidectomy in an all-payer, multi-state cohort. MethodsWe included patients aged ≥18 years who underwent a total thyroidectomy (2013–2019) using Healthcare Cost and Utilization Project data. Admission type was defined as same-day, overnight, or inpatient based on length of stay. Same-day patients were propensity-score matched 1:1 with overnight patients. Hospital characteristics and costs were compared in the matched cohort. ResultsAmong 86,187 patients who underwent total thyroidectomy, 16,743 (19.4%) cases were same-day, 59,778 (69.4%) were overnight, and 9,666 (11.2%) were inpatient. The proportion of patients who underwent same-day thyroidectomy increased from 14.8% to 20.8% over the study period (P < .001), whereas overnight admissions decreased from 72.9% to 68.8% (P < .001). In total, 9,571 same-day patients were matched to 9,571 overnight patients. Same-day patients had higher odds of treatment at a certified cancer center (odds ratio 1.77; 95% confidence interval 1.65–1.90), Accreditation Council for Graduate Medical Education-accredited teaching hospital (odds ratio 1.72; 95% confidence interval 1.61–1.85), and high-volume hospital (odds ratio 1.53; 95% confidence interval 1.42–1.65). Pairwise cost differences showed median savings of $974 (interquartile range –1,610 to 3,491) for same-day relative to overnight admission (P < .001). ConclusionAlthough over two-thirds of patients are admitted overnight, same-day total thyroidectomy is increasingly performed. Same-day thyroidectomy may be a lower-cost option for selected patients, particularly in specialty centers with experience in thyroidectomy.

Effect of a quality improvement program on compliance to the sepsis bundle in non-ICU patients: a multicenter prospective before and after cohort study.

Sepsis and septic shock are major challenges and economic burdens to healthcare, impacting millions of people globally and representing significant causes of mortality. Recently, a large number of quality improvement programs focused on sepsis resuscitation bundles have been instituted worldwide. These educational initiatives have been shown to be associated with improvements in clinical outcomes. We aimed to evaluate the impact of a multi-faceted quality implementing program (QIP) on the compliance of a "simplified 1-h bundle" (Sepsis 6) and hospital mortality of severe sepsis and septic shock patients out of the intensive care unit (ICU). Emergency departments (EDs) and medical wards (MWs) of 12 academic and non-academic hospitals in the Lombardy region (Northern Italy) were involved in a multi-faceted QIP, which included educational and organizational interventions. Patients with a clinical diagnosis of severe sepsis or septic shock according to the Sepsis-2 criteria were enrolled in two different periods: from May 2011 to November 2011 (before-QIP cohort) and from August 2012 to June 2013 (after-QIP cohort). The effect of QIP on bundle compliance and hospital mortality was evaluated in a before-after analysis. We enrolled 467 patients in the before-QIP group and 656 in the after-QIP group. At the time of enrollment, septic shock was diagnosed in 50% of patients, similarly between the two periods. In the after-QIP group, we observed increased compliance to the "simplified rapid (1 h) intervention bundle" (the Sepsis 6 bundle - S6) at three time-points evaluated (1 h, 13.7 to 18.7%, p = 0.018, 3 h, 37.1 to 48.0%, p = 0.013, overall study period, 46.2 to 57.9%, p < 0.001). We then analyzed compliance with S6 and hospital mortality in the before- and after-QIP periods, stratifying the two patients' cohorts by admission characteristics. Adherence to the S6 bundle was increased in patients with severe sepsis in the absence of shock, in patients with serum lactate <4.0 mmol/L, and in patients with hypotension at the time of enrollment, regardless of the type of admission (from EDs or MWs). Subsequently, in an observational analysis, we also investigated the relation between bundle compliance and hospital mortality by logistic regression. In the after-QIP cohort, we observed a lower in-hospital mortality than that observed in the before-QIP cohort. This finding was reported in subgroups where a higher adherence to the S6 bundle in the after-QIP period was found. After adjustment for confounders, the QIP appeared to be independently associated with a significant improvement in hospital mortality. Among the single S6 procedures applied within the first hour of sepsis diagnosis, compliance with blood culture and antibiotic therapy appeared significantly associated with reduced in-hospital mortality. A multi-faceted QIP aimed at promoting an early simplified bundle of care for the management of septic patients out of the ICU was associated with improved compliance with sepsis bundles and lower in-hospital mortality.

Cost structure in specialist mental healthcare: what are the main drivers of the most expensive episodes?

BackgroundMental disorders are one of the costliest conditions to treat in Norway, and research into the costs of specialist mental healthcare are needed. The purpose of this article is to present a cost structure and to investigate the variables that have the greatest impact on high-cost episodes.MethodsPatient-level cost data and clinic information during 2018–2021 were analyzed (N = 180,220). Cost structure was examined using two accounting approaches. A generalized linear model was used to explain major cost drivers of the 1%, 5%, and 10% most expensive episodes, adjusting for patients’ demographic characteristics [gender, age], clinical factors [length of stay (LOS), admission type, care type, diagnosis], and administrative information [number of planned consultations, first hospital visits, interval between two hospital episode].ResultsOne percent of episodes utilized 57% of total resources. Labor costs accounted for 87% of total costs. The more expensive an episode was, the greater the ratio of the inpatient (ward) cost was. Among the top-10%, 5%, and 1% most expensive groups, ward costs accounted for, respectively, 89%, 93%, and 99% of the total cost, whereas the overall average was 67%. Longer LOS, ambulatory services, surgical interventions, organic disorders, and schizophrenia were identified as the major cost drivers of the total cost, in general. In particular, LOS, ambulatory services, and schizophrenia were the factors that increased costs in expensive subgroups. The “first hospital visit” and “a very short hospital re-visit” were associated with a cost increase, whereas “the number of planned consultations” was associated with a cost decrease.ConclusionsThe specialist mental healthcare division has a unique cost structure. Given that resources are utilized intensively at the early stage of care, improving the initial flow of hospital care can contribute to efficient resource utilization. Our study found empirical evidence that planned outpatient consultations may be associated with a reduced health care burden in the long-term.

Abstract 18981: Regional Variation in Inpatient Hospital Resources Utilized in Cardiac Surgery Performed in Children

Introduction: Care for congenital heart disease is highly resource-intensive due to its complexity, and due to patients’ need for surgery and other inpatient care. Understanding regional variation in resource utilization for cardiac surgical care can promote collaborative learning opportunities that could help optimize resources for patient-centered care. Methods: This cross-sectional analysis used the nationally representative 2012 Kids’ Inpatient Database, managed by the Healthcare Cost and Utilization Project of the Agency for Healthcare Research and Quality. Based on International Classification of Diseases, Ninth Revision, Clinical Modification procedure codes, we identified hospital discharges of cardiac surgery patients under 18 years of age. We excluded patients undergoing cardiac transplantation and newborns under 31 days of age who only underwent ligation of isolated patent ductus arteriosus. Included cases were aggregated based on the nine US geographic divisions used by the US Census Bureau. Regional variation in observed inpatient billed charges, estimated hospital costs based on cost-to-charge ratios and inpatient length of stay (LOS) were analyzed. The log transformed outcomes were compared unadjusted, and after adjusting for RACHS-1 inpatient surgical mortality risk, admission type, expected primary payer and coded complications (as appropriate). Results: Among 15,350 analyzed discharges, the mean nationwide adjusted in-hospital mortality was 3%. It was highest in East South Central (5%). However, the differences among divisions were not significant for all RACHS-1 categories. Mean adjusted complications frequencies ranged from 21 to 32%.LOS showed only minor variations across divisions. Median billed hospital charges ranged from $93,869 to $226,061. For all RACHS-1 categories, New England (lowest) and East North Central had significantly lower charges than did the Mid-Atlantic division. Estimated costs were significantly lower than charges, ranging from $44,402 to $66,726 across all divisions. Costs were lowest in the Mid-Atlantic division. Conclusions: There is regional variation in resource utilization in cardiac surgical care for CHD with no observed correlation with LOS, case mix or complications.

Construction of integrated platform for emergency clinical scientific research based on big data

To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.

Effects of DementiaNet's Community Care Network Approach on Admission Rates and Healthcare Costs: A Longitudinal Cohort Analysis.

People with dementia are increasingly living at home, relying on primary care providers for most healthcare needs. Suboptimal collaboration and communication between providers could cause inefficiencies and worse patient outcomes. Innovative strategies are needed to address this growing disease burden and rising healthcare costs. The DementiaNet programme, a community care network approach targeted at patients with dementia in the Netherlands, has been shown to improve patient's quality of care. However, very little is known about the impact of DementiaNet on admission risks and healthcare costs. This study addresses this knowledge gap. A longitudinal cohort analysis was performed, using medical and long-term care claims data from 38 525 patients between 2015-2019. The primary outcomes were risk of hospital admission and annual total healthcare costs. Mixed-model regression analyses were used to identify changes in outcomes. Patients who received care from a DementiaNet community care network showed a general trend in lower risk of admission for all types of admissions studied (ie, hospital, emergency ward, intensive care, crisis, and nursing home). Also, the intervention group showed a significant reduction of 12% in nursing days (relative risk [RR] 0.88; 95% CI: 0.77- 0.96). No significant differences were found for total healthcare costs. However, we found effects in two sub-elements of total healthcare costs, being a decrease of 19.7% (95% CI: 7.7%-30.2%) in annual hospital costs and an increase of 10.2% (95% CI: 2.3%-18.6%) in annual primary care costs. Our study indicates that DementiaNet's community care network approach may reduce admission risks for patients with dementia over a long-term period of five years. This is accompanied by a decrease in nursing days and savings in hospital care that exceed increased primary care costs. This improvement in integrated dementia care supports wider scale implementation and evaluation of these networks.

Hospital spending and length of stay attributable to perioperative adverse events for inpatient hip, knee, and spine surgery: a retrospective cohort study

BackgroundThe incremental hospital cost and length of stay (LOS) associated with adverse events (AEs) has not been well characterized for planned and unplanned inpatient spine, hip, and knee surgeries.MethodsRetrospective cohort study of hip, knee, and spine surgeries at an academic hospital in 2011–2012. Adverse events were prospectively collected for 3,063 inpatient cases using the Orthopaedic Surgical AdVerse Event Severity (OrthoSAVES) reporting tool. Case costs were retrospectively obtained and inflated to equivalent 2021 CAD values. Propensity score methodology was used to assess the cost and LOS attributable to AEs, controlling for a variety of patient and procedure factors.ResultsThe sample was 55% female and average age was 64; 79% of admissions were planned. 30% of cases had one or more AEs (82% had low-severity AEs at worst). The incremental cost and LOS attributable to AEs were $8,500 (95% confidence interval [CI]: 5100–11,800) and 4.7 days (95% CI: 3.4–5.9) per admission. This corresponded to a cumulative $7.8 M (14% of total cohort cost) and 4,290 bed-days (19% of cohort bed-days) attributable to AEs. Incremental estimates varied substantially by (1) admission type (planned: $4,700/2.4 days; unplanned: $20,700/11.5 days), (2) AE severity (low: $4,000/3.1 days; high: $29,500/11.9 days), and (3) anatomical region (spine: $19,800/9 days; hip: $4,900/3.8 days; knee: $1,900/1.5 days). Despite only 21% of admissions being unplanned, adverse events in these admissions cumulatively accounted for 59% of costs and 62% of bed-days attributable to AEs.ConclusionsThis study comprehensively demonstrates the considerable cost and LOS attributable to AEs in orthopaedic and spine admissions. In particular, the incremental cost and LOS attributable to AEs per admission were almost five times as high among unplanned admissions compared to planned admissions. Mitigation strategies focused on unplanned surgeries may result in significant quality improvement and cost savings in the healthcare system.

Daily temperature variability in cities and mental health-related hospitalizations

Abstract Despite plausible behavioral and physiological pathways, limited evidence exists on how temperature variability is associated with acute mental health-related episodes. This analysis explored associations between daily temperature range (DTR) and mental health-related hospitalizations in New York State during 1995-2014. A case-crossover design with distributed lag non-linear DTR terms (0-6 days) estimated associations between ZIP Code-level DTR and hospitalizations for mood, anxiety, adjustment, and schizophrenia disorders, adjusting for daily mean temperature, and how associations varied by age, sex, admission type and season. For all outcomes, across most DTR distribution, divergence from the study period daily mean (7.7 °C) yielded a positive association to a threshold (5.2 °C, 25th percentile; 12.2 °C, 90th percentile), beyond which negative associations were observed. For mood disorders, an increase in DTR from 7.7 °C to 12.2 °C was associated with a cumulative 4.8% (95%CI, 4.0%−5.6%) increase in daily hospitalization rates. This increase was highest during transition seasons (6.0%, 4.5%−7.4%) compared with summer (1.8%, 0.6%−3.0%) and winter (-0.6%, -0.7%−1.9%). Evidence for effect-modification by age group and admission type was inconsistent across outcomes, without evidence for effect modification by sex. This study highlights potential impacts of increased temperature variability in a changing climate on mental health-related outcomes.

Prepayment meters strongly associated with multiple types of deprivation and emergency respiratory hospital admissions: an observational, cross-sectional study

BackgroundPrepayment meters (PPMs) require energy to be paid in advance. Action groups and media contend that PPMs are concentrated in the most vulnerable groups, prone to run out of credit...

Gender, BMI, Patient Comorbidities, and Hospital Characteristics Influence 30-Day Readmission Following Vertical Sleeve Gastrectomy.

Obesity impacts 300 million people worldwide and the number continues to increase. Laparoscopic sleeve gastrectomy (LSG) is one of several bariatric procedures offered to help these individuals achieve a healthier life. Here, we report 30-day readmission rates and risk factors for readmission after gastrectomy. We used the US Healthcare Utilization Project's Nationwide Readmission Database (NRD) from 2016 to 2019 for patients who underwent laparoscopic gastrectomy and evaluated 30-day readmission rates, comparing readmitted patients to non-readmitted patients. Confounder adjusted and unadjusted analysis were proceeded to the potential factors. The study population consisted of 235,563 patients, with a 3.0% readmission rate. Factors associated with a higher readmission rate included older age, male gender, higher BMI, Medicare as the primary payer, longer length of stay, higher total charge, higher Charlson Comorbidity Index, higher Elixhauser-Comorbidity Index, lower household income, non-elective admission type, and non-routine disposition. Additionally, larger hospital bed size, and private, invest-own hospital ownership were associated with higher readmission rates. After adjusting for confounders, several comorbidities and complications were found to be significantly associated with readmission, including ileus, abnormal weight loss, postprocedural complications of digestive system, acute posthemorrhagic anemia, and history of pulmonary embolism (all p < 0.001). Patient characteristics including age, BMI, and payment source, as well as hospital characteristics, can impact the 30-day readmission after LSG. Such factors should be considered by CMS when deciding on penalties related to readmission.

Residential Greenness and Long-term Mortality Among Patients Who Underwent Coronary Artery Bypass Graft Surgery.

Studies have reported inverse associations between exposure to residential greenness and mortality. Greenness has also been associated with better surgical recovery. However, studies have had small sample sizes and have been restricted to clinical settings. We investigated the association between exposure to residential greenness and all-cause mortality among a cohort of cardiac patients who underwent coronary artery bypass graft (CABG) surgery. We studied this cohort of 3,128 CABG patients between 2004 and 2009 at seven cardiothoracic departments in Israel and followed patients until death or 1st May 2021. We collected covariate information at the time of surgery and calculated the patient-level average normalized difference vegetation index (NDVI) over the entire follow-up in a 300 m buffer from the home address. We used Cox proportional hazards regression models to estimate associations between greenness and death, adjusting for age, sex, origin, socioeconomic status, type of hospital admission, peripherality, air pollution, and distance from the sea. Mean age at surgery was 63.8 ± 10.6 for men and 69.5 ± 10.0 for women. During an average of 12.1 years of follow-up (37,912 person-years), 1,442 (46%) patients died. A fully adjusted Cox proportional hazards model estimated a 7% lower risk of mortality (HR: 0.93, 95% CI = [0.85, 1.00]) per 1 interquartile range width increase (0.04) in NDVI. Results were robust to the use of different buffer sizes (100 m-1,250 m from the home) and to the use of average NDVI exposure during the first versus the last 2 years of follow-up. Residential greenness was associated with lower risk of mortality in CABG patients.

A novel score for predicting 1-year mortality of intensive care patients.

We aimed to develop a simple scoring table for predicting probability of death within 1-year after admission to an intensive care unit. We analysed data on emergency admissions from the nationwide Finnish intensive care quality registry. We included first admissions of adult patients with data available on 1-year vital status (dead or alive) and all five variables included in a premorbid functional status score, which is the number of activities the person can manage independently of the following five: get out of bed, move indoors, dress, climb stairs and walk 400 m. We analysed data on patient characteristics and admission-associated factors from 2012 to 2014 to find predictors of 1-year mortality and to develop a score for predicting probability of death. We tested the performance of this score in data from 2015. We assessed the 1-year functional status score of survivors with data available. Out of 25,261 patients, 20,628 (81.7%) patients were able to perform all five functional activities independently prior to the intensive care unit admission. At 1-year post admission, 19,625 (77.7%) patients were alive. 1-year functional status score was known for 11,011 patients and 8970 (81.5%) patients achieved functional status score 5, managing all five activities independently. The score based on age, sex, preceding functional status, type of intensive care unit admission, severity of acute illness and the most significant diagnoses predicted 1-year mortality with an area under the receiver operating characteristic curve 0.78 (95% CI, 0.76-0.79). The calibration of our prediction model was good, with calibration intercept -0.01 (-0.07 to 0.05) and calibration slope 0.96 (0.90 to 1.02). Our score based on data available at intensive care unit admission predicted 1-year mortality with fairly good discrimination. Most survivors achieved good functional recovery.

Association of Discharge Location Following Pediatric Tracheostomy with Social Determinants of Health: A National Analysis.

To evaluate the breakdown of discharge locations among pediatric tracheostomy patients and determine the impact of demographic variables and social determinants of health. Retrospective review of the 2016 and 2019 Healthcare Cost and Utilization Project Kids' Inpatient Database (HCUP KID). A total of 4000 United States community hospitals, defined as short-term, non-Federal, general, and specialty hospitals. ICD-10-PCS, ICD-10 CM codes, and HCUP data elements were selected for patients and variables of interest. Bivariate comparisons were performed using Rao-Scott Chi-square tests; significance levels in post hoc pairwise testing were adjusted using Bonferroni adjustment. Multinomial generalized logistic regression models were used to determine the average annual odds ratio (OR) of 3 dispositions at discharge relative to discharge home for self-care. Patients aged 11-17, patients from large metropolitan areas, and patients of "Other" race have an increased odds of discharge to a short- or long-term care facility (all P < .001). Weekend admissions, nonelective admissions, patients in Northeast hospitals, and patients at urban nonteaching hospitals are also more likely to be discharged to a short- or long-term care facility (all P < .001). Mean and median total costs of admission were $424,387 and $243,479, respectively, with a median total charge of $854,499. Among pediatric tracheostomy patients, demographic factors that affect discharge disposition include age, community type, and race, and significant hospital factors include day and type of admission, geographic region, and hospital type. Hospitalizations are associated with high overall costs and charges to the patient, which are increasing over time.

Analysis of Lower Extremity Amputations from the SerbVasc Registry.

Peripheral arterial disease (PAD) and diabetes are the major causes of lower extremity amputations (LEAs) worldwide. Morbidity and mortality in patients with LEAs are high with an associated significant burden on the global health system. The aim of this article is to report the overall morbidity and mortality rates after major and minor LEAs from the Serbian Vascular Registry (SerbVasc), with an analysis of predictive factors that influenced adverse outcomes. SerbVasc was created in 2019 as a part of the Vascunet collaboration that is aiming to include all vascular procedures from 21 hospitals in Serbia. Prevalence of diabetes among patients with LEAs, previous revascularization procedures, the degree and the type of foot infection and tissue loss, and overall morbidity and mortality rates were analyzed, with a special reference to mortality predictors. In the period from January 2020 to December 2022, data on 702 patients with LEAs were extracted from the SerbVasc registry, mean age of 69.06±10.63 years. Major LEAs were performed in 59%, while minor LEAs in 41% of patients. Diabetes was seen in 65.1% of the patients, with 44% of them being on insulin therapy. Before LEA, only 20.3% of patients had previous peripheral revascularization. Soft tissue infection, irreversible acute ischemia, and Fontaine III and IV grade ischemia were the most common causes of above-the-knee amputations while diabetic foot was the most common cause of transphalangeal and toe amputations. The infection rate was 3.7%, the re-amputation rate was 5.7%, and the overall mortality rate was 6.9%, with intrahospital mortality in patients with above-the-knee amputation of 11.1%. The most significant intrahospital mortality predictors were age >65 years (p<0.001), chronic kidney disease (CKD) (p<0.001), ischemic heart disease (IHD) (p=0.001), previous myocardial revascularization (p=0.017), emergency type of admission (p<0.001), not using aspirin (p=0.041), using previous anticoagulation therapy (p=0.003), and postoperative complications (p<0.001). The main predictors of increased mortality after LEAs from the SerbVasc registry are age >65 years, CKD, IHD, previous myocardial revascularization, emergency type of admission, not using aspirin, using previous anticoagulation therapy, and postoperative complications. Taking into account high mortality rates after LEAs and a small proportion of previous peripheral revascularization, the work should be done on early diagnosis and timely treatment of PAD hopefully leading to decreased number of LEAs and overall mortality. Mortality after lower limb amputation from the SerbVasc register is high. A small number of previously revascularized patients is of particular clinical importance, bearing in mind that the main reasons for above-the-knee amputations were irreversible ischemia, Fontaine III and Fontaine IV grade ischemia. Lack of diagnostics procedures and late recognition of patients with PAD, led to subsequent threating limb ischemia and increased amputation rates. The work should be done on early diagnosis and timely treatment of PAD in Serbia, hopefully leading to an increased number of PAD procedures, decreased number of LEAs, and lower overall mortality.

Hospital admissions and mortality over 20 years in community-dwelling older people: findings from the Hertfordshire Cohort Study

BackgroundDemographic changes worldwide are leading to pressures on health services, with hospital admissions representing an important contributor. Here, we report admission types experienced by older people and examine baseline risk factors for subsequent admission/death, from the community-based Hertfordshire Cohort Study.Methods2997 participants (1418 women) completed a baseline questionnaire and clinic visit to characterize their health. Participants were followed up from baseline (1998–2004, aged 59–73 years) until December 2018 using UK Hospital Episode Statistics and mortality data, which report clinical outcomes using ICD-10 coding. Baseline characteristics in relation to the risk of admission/death during follow-up were examined using sex-stratified univariate logistic regression.ResultsDuring follow-up, 36% of men and 26% of women died and 93% of men and 92% of women had at least one hospital admission; 6% of men and 7% of women had no admissions and were alive at end of follow-up. The most common types of admission during follow-up were cardiovascular (ever experienced: men 71%, women 68%) and respiratory (men 40%, women 34%). In both sexes, baseline risk factors that were associated (p < 0.05) with admission/death during follow-up were older age, poorer SF-36 physical function, and poorer self-rated health. In men, manual social class and a history of smoking, and in women, higher BMI, not owning one’s home, and a minor trauma fracture since age 45, were also risk factors for admission/death.ConclusionsSociodemographic factors were related to increased risk of admission/death but a small proportion experienced no admissions during this period, suggesting that healthy ageing is achievable.

Epidemiology of Diabetic Ketoacidosis in the Waikato Region of New Zealand: 2000-2019.

Diabetic ketoacidosis (DKA) is not well characterised in New Zealand. This study is aimed at characterising the change in epidemiology and severity of DKA from 2000 to 2019 at a tertiary hospital in the Waikato region of New Zealand. A retrospective clinical data review of all patients admitted to Waikato District Health Board hospitals with DKA was undertaken. Characteristics and severity of DKA were assessed by type of DKA admission (diagnosed at admission, nonrecurrent, and recurrent), ethnicity, social deprivation, intensive care unit (ICU) admission, and length of hospital stay, with linear regression reporting on changes over time. There were 1254 admissions for DKA (564 individual patients), two-thirds being recurrent events. Nonrecurrent DKA patients were younger, whilst recurrent admissions for DKA were associated with T1D, female gender, greater socioeconomic deprivation, and rural living (all P values < 0.01). DKA admission increased 8-fold between 2000 and 2019, mostly due to an increased number of recurrent events, particularly in Māori and female patients (P < 0.001). ICU admissions increased over time (P < 0.001) whilst length of hospital stay trended down (P = 0.031). The rise in recurrent DKA is concerning, particularly in youth and indigenous Māori. Healthcare inequities need to be addressed, including adequate access to mental health support to ensure optimal outcomes for all patients with diabetes.