Acute Care Hospital Admissions Research Articles

Malnutrition defined by global leadership initiative on malnutrition criteria impedes home discharge in acute care hospital admissions

Background & aimsLimited evidence exists on the association between malnutrition diagnosis using the Global Leadership Initiative on Malnutrition (GLIM) criteria in hospitalized acute care patients and their outcomes; several aspects still require clarification. This study aimed to evaluate the relationship between malnutrition, as defined by the GLIM criteria, at the time of acute hospital admission and discharge to home. MethodsThis retrospective observational study was conducted at a hospital that provides acute care in Japan. Adult patients admitted between July 2023 and April 2024 were included in this study. The primary outcome was the number of patients discharged to home, with in-hospital mortality as the secondary outcome. To ensure the reliability of the cohort-wide results, background factors were adjusted using propensity score matching. The two groups were compared based on the presence or absence of malnutrition, as defined by the GLIM criteria at admission. Furthermore, multiple logistic regression analysis was conducted, with the outcome as the dependent variable and malnutrition, diagnosed using the GLIM criteria, as the explanatory variable, adjusting for covariates. ResultsA total of 1,007 patients were included in the final analysis, of whom 492 (49%) were diagnosed without malnutrition, while 515 (51%) were diagnosed with malnutrition according to the GLIM criteria. In the multivariate logistic regression analysis after matching, malnutrition defined by the GLIM criteria emerged as an independent factor associated with discharge to home (odds ratio [OR] = 0.37, 95% confidence interval = 0.25–0.56, P < 0.001) when adjusting for age, sex, and various comorbidities. Among the GLIM sub-criteria, reduced muscle mass, reduced food intake or assimilation, and disease burden or inflammation were independently associated with discharge to home. Notably, disease burden/inflammation exhibited the lowest OR among the GLIM sub-criteria for discharge. ConclusionMalnutrition diagnosed using the GLIM criteria upon admission in patients admitted to a regional hospital providing acute care was associated with decreased rates of discharge to home and increased in-hospital mortality. Specifically, attention should be paid to the criteria for reduced muscle mass and disease burden or inflammation within the GLIM framework.

Health service use in major trauma survivors: A population-based cohort study from Ontario, Canada.

Little is known about how major trauma survivors access health services in the years following their injury. Our study sought to characterize patterns of health services use in trauma survivors following discharge from a provincial trauma center and to identify sociodemographic factors associated with service utilization. We conducted a population-based retrospective case-control study using linked administrative data on trauma survivors' population-based controls between April 1, 2011, and March 31, 2021. For each major trauma survivor, we matched four cases based on age and sex. The primary outcome was the composite rate (sum) of health service use episodes including outpatient visits to family physicians and specialists, emergency department visits, and acute care hospital admissions during the 5-year period following discharge from the trauma center. We used multivariate regression to compute rate ratios comparing the rates of health service use in trauma survivors versus controls and to assess for associations between sociodemographic variables and health services use. The study cohort consisted of a total of 273,406 individuals: 55,060 trauma survivors and 218,346 controls. Trauma survivors were predominately males (71%) with a median age of 46 years (interquartile range, 26-65 years). Health service use in trauma survivors peaked within a year of hospital discharge but remained increased throughout the follow-up period. Trauma survivorship was associated with a 56% increase in overall health services use (adjusted rate ratio, 1.56; 95% confidence interval, 1.55-1.57), including an 88% increase in hospital admissions (adjusted rate ratio, 1.88; 95% confidence interval, 1.85-1.92). Male sex and rural residence were associated with a reduced overall use of health services but greater use of emergency department services. Major trauma survivors have long-term health services needs that persist for years after discharge from the trauma center. Future research should focus on the understanding why trauma survivors have prolonged health services requirements and ensure that care needs are aligned with service delivery. Prognostic and Epidemiological; Level IV.

Trajectories of Serious Illness Communication During Long-term Acute Care Hospital Admissions (GP151)

Trajectories of Serious Illness Communication During Long-term Acute Care Hospital Admissions (GP151)

Short-term mortality and palliative care use after delayed hospital discharge: a population-based retrospective cohort study

ObjectivesIn Canada, patients whose acute medical issues have been resolved but are awaiting discharge from hospital are designated as alternate level of care (ALC). We investigated short-term mortality and palliative...

Population-Based Trends in Complexity of Hospital Inpatients

Clinical experience suggests that hospital inpatients have become more complex over time, but few studies have evaluated this impression. To assess whether there has been an increase in measures of hospital inpatient complexity over a 15-year period. This cohort study used population-based administrative health data from nonelective hospitalizations from April 1, 2002, to January 31, 2017, to describe trends in the complexity of inpatients in British Columbia, Canada. Hospitalizations were included for individuals 18 years and older and for which the most responsible diagnosis did not correspond to pregnancy, childbirth, the puerperal period, or the perinatal period. Data analysis was performed from July to November 2023. The passage of time (15-year study interval). Measures of complexity included patient characteristics at the time of admission (eg, advanced age, multimorbidity, polypharmacy, recent hospitalization), features of the index hospitalization (eg, admission via the emergency department, multiple acute medical problems, use of intensive care, prolonged length of stay, in-hospital adverse events, in-hospital death), and 30-day outcomes after hospital discharge (eg, unplanned readmission, all-cause mortality). Logistic regression was used to estimate the relative change in each measure of complexity over the entire 15-year study interval. The final study cohort included 3 367 463 nonelective acute care hospital admissions occurring among 1 272 444 unique individuals (median [IQR] age, 66 [48-79] years; 49.1% female and 50.8% male individuals). Relative to the beginning of the study interval, inpatients at the end of the study interval were more likely to have been admitted via the emergency department (odds ratio [OR], 2.74; 95% CI, 2.71-2.77), to have multimorbidity (OR, 1.50; 95% CI, 1.47-1.53) and polypharmacy (OR, 1.82; 95% CI, 1.78-1.85) at presentation, to receive treatment for 5 or more acute medical issues (OR, 2.06; 95% CI, 2.02-2.09), and to experience an in-hospital adverse event (OR, 1.20; 95% CI, 1.19-1.22). The likelihood of an intensive care unit stay and of in-hospital death declined over the study interval (OR, 0.96; 95% CI, 0.95-0.97, and OR, 0.81; 95% CI, 0.80-0.83, respectively), but the risks of unplanned readmission and death in the 30 days after discharge increased (OR, 1.14; 95% CI, 1.12-1.16, and OR, 1.28; 95% CI, 1.25-1.31, respectively). By most measures, hospital inpatients have become more complex over time. Health system planning should account for these trends.

Procalcitonin Monitoring and Antibiotic Duration in Presumed Lower Respiratory Tract Infections: A Propensity Score-Matched Cohort Across the Veterans Health Administration.

Randomized controlled trials have shown that procalcitonin-guided algorithms can reduce antibiotic duration for lower respiratory tract infections (LRTIs). The goal of this study was to compare antibiotic duration for LRTIs with and without procalcitonin testing in real-life practice. This retrospective cohort study included all acute care hospital admissions for presumed LRTIs between 1/2018 and 12/2021 at 81 Veterans Affairs facilities with on-site procalcitonin testing. The exposure was procalcitonin testing; the primary outcome was antibiotic duration. We used 1:1 nearest-neighbor propensity score matching to estimate the difference in outcome between procalcitonin-tested and nontested patients. A total of 35 610 patients with LRTIs were included (6015 [16.9%] with procalcitonin testing; 29 595 [83.1%] without testing). In tested patients, the median number of procalcitonin levels checked (interquartile range) was 2 (1-3). The mean antibiotic duration was 10.0 days in the procalcitonin group compared with 8.3 days in nontested patients (unadjusted difference, 1.7 days; P < .0001). After propensity score matching with 3903 pairs, antibiotic duration remained greater in the procalcitonin group (9.6 days vs 9.2 days; P < .0001). In a subgroup analysis of 2241 tested patients with a procalcitonin value at the standard threshold for antibiotic discontinuation, antibiotic duration was shorter in tested vs nontested patients, with a mean difference of 0.1 days (P < .01). In this retrospective propensity-matched cohort of patients with presumed LRTIs across a geographically diverse group of hospitals, patients who underwent procalcitonin testing did not have a meaningful reduction in antibiotic duration compared with those who were not tested. Poor implementation of procalcitonin testing may have undermined its effectiveness.

Rates of emergency department visits and acute-care hospital admissions after starting chemotherapy or having surgery across six community-based cancer centers.

6621 Background: Cancer patients who start chemotherapy or have surgery are at risk for serious adverse events, which can include emergency department visits (EDV) and acute-care hospital admissions (ADM). These events are relevant to patients, clinicians, health systems, and policy makers. Few studies have described the frequency and predictors of EDVs and ADMs in the routine care setting. We sought to address this knowledge gap, and to describe the impact of the COVID pandemic on these events, using data from the SIMPRO consortium of six US-based health systems. Methods: In 2019, SIMPRO started a phased deployment of an electronic health record-integrated symptom management program (eSyM) as part of the routine care provided to patients with a suspected or confirmed gastrointestinal, thoracic, and gynecologic malignancy. eSyM prompts patients to complete symptom questionnaires and provides symptom management resources for 180 days after starting chemotherapy and 60 days following surgery. This analysis includes all patients, whether they used eSyM resources or not. Outcomes, which were measured using EHR-based encounter data, included the rates of EDVs and ADMs at 30 and 90-days after starting chemotherapy or following discharge from surgery. To account for potential confounding, we used multivariable logistic regression for the 30-day outcomes and Cox regression for the 90-day outcomes. Results: From September 2019-December 2022, 8664 patients started chemotherapy and 11,578 had surgery, with 3075 and 2587 patients, respectively, experiencing at least one outcome event (Table). 90-day outcomes varied significantly across health systems for chemotherapy (EDV 2-21%, ADM 5-28%) and surgery (EDV 7-14%, ADM 9-18%) patients. In multivariable analyses, patients who reported an employment status of disabled were more likely to report an EDV (OR 1.73-1.96) and an ADM (ORs 1.52-1.96). Widowed status was associated with greater odds of having an ADM (ORs 1.29-1.30), but not an EDV. Cox regression found chemotherapy recipients experienced lower hazards of an EDV, but not an ADM, during 2020 (coinciding with the start of the COVID pandemic). For surgery patients, there was no significant association between calendar year and EDVs or ADMs. [p&lt;0.001 for all reported values]. Conclusions: A meaningful proportion of patients who started chemotherapy or had surgery for a suspected or confirmed malignancy in the routine-care setting had an EDV or ADM within 90 days. Most events occurred within 30 days. Further work is required to ascertain how many of these encounters are avoidable and what structural or procedural interventions could improve outcomes. Clinical trial information: NCT03850912 . [Table: see text]

Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions

The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and risk-benefit profile of medications. With an incidence that has not changed over the last 30 years, ADRs are a significant source of patient morbidity, responsible for 5%–10% of acute care hospital admissions worldwide. Spontaneous reporting of ADRs has long been the standard method of reporting, however this approach is known to have high rates of under-reporting, a problem that limits pharmacovigilance efforts. Automated ADR reporting presents an alternative pathway to increase reporting rates, although this may be limited by over-reporting of other drug-related adverse events.We developed a deep learning natural language processing algorithm to identify ADRs in discharge summaries at a single academic hospital centre. Our model was developed in two stages: first, a pre-trained model (DeBERTa) was further pre-trained on 1.1 million unlabelled clinical documents; secondly, this model was fine-tuned to detect ADR mentions in a corpus of 861 annotated discharge summaries. This model was compared to a version without the pre-training step, and a previously published RoBERTa model pretrained on MIMIC III, which has demonstrated strong performance on other pharmacovigilance tasks. To ensure that our algorithm could differentiate ADRs from other drug-related adverse events, the annotated corpus was enriched for both validated ADR reports and confounding drug-related adverse events using. The final model demonstrated good performance with a ROC–AUC of 0.955 (95% CI 0.933 - 0.978) for the task of identifying discharge summaries containing ADR mentions, significantly outperforming the two comparator models.

Major interregional differences in France of COVID-19 hospitalization and mortality from January to June 2020

IntroductionEven though France was severely hit by the COVID-19 pandemic, few studies have addressed the dynamics of the first wave on an exhaustive, nationwide basis. We aimed to describe the geographic and temporal distribution of COVID-19 hospitalisations and in-hospital mortality in France during the first epidemic wave, from January to June 2020. MethodsThis retrospective cohort study used the French national database for all acute care hospital admissions (PMSI). Contiguous stays were assembled into “care sequences” for analysis so as to limit bias when estimating incidence and mortality. The incidence rate and its evolution, mortality and hospitalized case fatality rates (HCFR) were compared between geographic areas. Correlations between incidence, mortality, and HCFR were analyzed. ResultsDuring the first epidemic wave, 98,366 COVID-19 patients were hospitalized (incidence rate of 146.7/100,000 inhabitants), of whom 18.8% died. The median age was 71 years, the male/female ratio was 1.16, and 26.2% of patients required critical care. The Paris area and the North-East region were the first and most severely hit areas. A rapid increase of incidence and mortality within 4 weeks was followed by a slow decrease over 10 weeks. HCFRs decreased during the study period, and correlated positively with incidence and mortality rates. DiscussionBy detailing the geographical and temporal evolution of the COVID-19 epidemic in France, this study revealed major interregional differences, which were otherwise undetectable in global analyses. The precision afforded should help to understand the dynamics of future epidemic waves.

Virtual Behavioural Medicine Program: A Novel Model of Care for Neuropsychiatric Symptoms in Dementia1.

Background:Patients with severe neuropsychiatric symptoms (NPS) due to dementia are often uprooted from their familiar environments in long-term care or the community and transferred to emergency departments, acute care hospitals, or specialized behavioral units which can exacerbate NPS. To address this issue, we developed the Virtual Behavioural Medicine Program (VBM), an innovative model of virtual care designed to support management of patients with NPS in their own environment.Objective:To determine efficacy of VBM in reducing admission to a specialized inpatient neurobehavioral unit for management of NPS.Methods:We reviewed outcomes in the first consecutive 95 patients referred to VBM. Referrals were classified into two groups. In one group, patients were referred to VBM with a simultaneous application to an inpatient Behavioural Neurology Unit (BNU). The other group was referred only to VBM. The primary outcome was reduction in proportion of patients requiring admission to the BNU regardless of whether they were referred to the BNU or to VBM alone.Results:For patients referred to VBM plus the BNU, the proportion needing admission to the BNU was reduced by 60.42%. For patients referred to VBM alone, it was 68.75%.Conclusion:VBM is a novel virtual neurobehavioral unit for treatment of NPS. Although the sample size was relatively small, especially for the VBM group, the data suggest that this program is a game changer that can reduce preventable emergency department visits and acute care hospital admissions. VBM is a scalable model of virtual care that can be adopted worldwide.

The Increased Length of Hospital Stay and Mortality Associated With Community-Associated Infections in Australia

BackgroundAn increasing proportion of antibiotic-resistant infections are community acquired. However, the burden of community-associated infections (CAIs) and the resulting impact due to resistance have not been well described.MethodsWe conducted a multisite, retrospective case–cohort study of all acute care hospital admissions across 134 hospitals in Australia. Patients admitted with a positive culture of 1 of 5 organisms of interest, namely Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterococcus faecium, from January 1, 2012, through December 30, 2016, were included. Data linkage was used to link hospital admissions and pathology data. Patients with a bloodstream infection (BSI), urinary tract infection (UTI), or respiratory tract infection (RTI) were included in the analysis. We compared patients with a resistant and drug-sensitive infection and used regression analyses to derive the difference in length of hospital stay (LOS) and mortality estimates associated with resistance.ResultsNo statistically significant impact on hospital LOS for patients with resistant CAIs compared with drug-sensitive CAIs was identified. CAI patients with drug-resistant Enterobacteriaceae (E. coli, K. pneumoniae) BSIs were more likely to die in the hospital than those with drug-sensitive Enterobacteriaceae BSIs (odds ratio [OR], 3.28; 95% CI, 1.40–6.92). CAI patients with drug-resistant P. aeruginosa UTIs were more likely to die in the hospital than those with the drug-sensitive counterpart (OR, 2.43; 95% CI, 1.12–4.85).ConclusionsThe burden of CAI in the hospital is significant, and antibiotic resistance is adding to associated mortality.

Characterizing the effective reproduction number during the COVID-19 pandemic: Insights from Qatar's experience.

BackgroundThe effective reproduction number, Rt, is a tool to track and understand pandemic dynamics. This investigation of Rt estimations was conducted to guide the national COVID-19 response in Qatar, from the onset of the pandemic until August 18, 2021.MethodsReal-time “empirical” RtEmpirical was estimated using five methods, including the Robert Koch Institute, Cislaghi, Systrom-Bettencourt and Ribeiro, Wallinga and Teunis, and Cori et al. methods. Rt was also estimated using a transmission dynamics model (RtModel-based). Uncertainty and sensitivity analyses were conducted. Correlations between different Rt estimates were assessed by calculating correlation coefficients, and agreements between these estimates were assessed through Bland-Altman plots.ResultsRtEmpirical captured the evolution of the pandemic through three waves, public health response landmarks, effects of major social events, transient fluctuations coinciding with significant clusters of infection, and introduction and expansion of the Alpha (B.1.1.7) variant. The various estimation methods produced consistent and overall comparable RtEmpirical estimates with generally large correlation coefficients. The Wallinga and Teunis method was the fastest at detecting changes in pandemic dynamics. RtEmpirical estimates were consistent whether using time series of symptomatic PCR-confirmed cases, all PCR-confirmed cases, acute-care hospital admissions, or ICU-care hospital admissions, to proxy trends in true infection incidence. RtModel-based correlated strongly with RtEmpirical and provided an average RtEmpirical.ConclusionsRt estimations were robust and generated consistent results regardless of the data source or the method of estimation. Findings affirmed an influential role for Rt estimations in guiding national responses to the COVID-19 pandemic, even in resource-limited settings.

Blood Conservation Strategies in Adult Sickle Cell Patients on Chronic Transfusion Therapy: A Single Center Experience

▪Background: Adult sickle cell patients on chronic transfusion therapy (CTT) garnered special concern during the COVID-19 pandemic, when mass cancellation of blood drives threatened the national blood supply. In response, the American Society of Hematology proposed several strategies to decrease blood utilization, while maintaining adequate disease control for sickle cell patients on CTT. These included targeting a higher end hemoglobin S%, switching patients to simple transfusions when appropriate, and transitioning to alternative disease modifying therapies. There is little evidence to support the safety of altering exchange therapy regimens. Accordingly, at the Johns Hopkins Sickle Cell Center for Adults, a multidisciplinary team of clinicians and transfusion medicine specialists evaluated patients on a case by case basis to determine how their exchanges could be modified to accommodate for anticipated blood supply shortages. We describe our blood conservation efforts during the COVID-19 pandemic and resulting clinical outcomes for adult patients with sickle cell anemia (SCA).Methods: For inclusion in this IRB-approved retrospective study, patients received at least 7 monthly exchange transfusions between March 2019 and February 2020 and continued care through March 2021. Decisions regarding CTT were made prior to data collection. Modifications to chronic exchanges included increasing the fraction of cells remaining (FCR), decreasing the end hematocrit, or switching to a hemodilution method. Additionally, select patients transitioned to monthly simple transfusions if they were clinically stable, had a hemoglobin ≤ 7 g/dL, and had a persistently suppressed hemoglobin S% (≤ 30).We collected basic demographics, pre-exchange laboratory studies, and exchange parameters before and after each transfusion encounter in the year before (March 2019 - February 2020) and during (March 2020 - February 2021) the COVID-19 pandemic. Lastly, we recorded presentations to urgent care and the emergency department; and hospital admissions during each time period. We reported descriptive statistics for the cohort and compared outcomes using the Wilcoxon signed-rank test and Mann Whitney U test. We analyzed data using Stata/SE Version 16.1.Results: We identified 58 patients with SCA who qualified for inclusion (Table 1). Fifty-three patients remained on chronic exchange transfusions during the pandemic, and five were switched to simple transfusions. For patients who remained on chronic exchanges, most received conventional automated red cell exchange (RCE) prior to (85%) and during the pandemic (77%). Use of hemodilution increased (15% to 23% of patients). Forty-three patients experienced an increase in mean FCR (33.6 (SD 11.6) vs 37.7 (4.7), p = .00). Of those, 22 patients saw a concomitant decrease in mean end hematocrit (30.8 (1.7) vs 29.6 (1.1), p = .00). These changes resulted in a decline in the average number of units per procedure (8.6 (1.9) vs 7.3 (1.7), p = .00), which corresponded to 890 units conserved. Mean pre-transfusion hemoglobin values declined (9.4 (1.3) vs 9.2 (1.3), p = 0.01), but hemoglobin S%, reticulocyte count, and ferritin values were unchanged (p > 0.05). Acute care presentations and hospital admissions declined, which were likely spurred by concerns about COVID-19 infection (Table 2, p < 0.05).During the pandemic, three patients died, one of whom had been switched to simple transfusions. This patient experienced a consistent rise in hemoglobin S% until death. Two of the remaining patients on simple transfusions were switched back to automated RCE due to an increase in hemoglobin S% above goal (Figure 1).Conclusions: During the COVID-19 pandemic, we conserved red blood cell units through expanded use of hemodilution, higher FCR values, and switching some patients to simple transfusions. Patients who remained on exchanges maintained hemoglobin S% values near a goal of 30% without increasing iron burden. In contrast, the majority of patients who were switched to simple transfusions were unable to maintain goal hematologic parameters, and one patient died. Our data suggest that in a blood shortage crisis, changing the exchange procedure itself may be the safest means of conserving blood in a population of adult sickle cell patients; however longer follow-up is needed to ensure that these changes are safe. [Display omitted] DisclosuresLanzkron: GBT: Research Funding; Shire: Research Funding; Novo Nordisk: Consultancy; CSL Behring: Research Funding; Pfizer: Current holder of individual stocks in a privately-held company; Teva: Current holder of individual stocks in a privately-held company; Novartis: Research Funding; Imara: Research Funding; Bluebird Bio: Consultancy.

Prevalence of Diaphragmatic Dysfunction in the Long-Term Acute Care Setting and Its Effects on Ventilator Weaning Outcomes: A Retrospective Cohort Study.

To determine the prevalence of undiagnosed diaphragmatic dysfunction in a long-term acute care hospital setting in patients on prolonged mechanical ventilation and its association with weaning outcomes. This is a single-center, retrospective cohort study including 451 patients on prolonged mechanical ventilation admitted to a long-term acute care hospital facility between 2012 and 2017. Diaphragmatic dysfunction was assessed using fluoroscopy. Three hundred nineteen patients on prolonged mechanical ventilation were assessed for diaphragmatic dysfunction. Nine patients were diagnosed with diaphragmatic dysfunction before admission. Eighty (72.7%) without diaphragmatic dysfunction were successfully weaned and 30 (27.3%) failed to wean, whereas 51 participants (31.9%) with diaphragmatic dysfunction were successfully weaned and 109 (68.1%) failed to wean (P < 0.001). When analyzing days to wean, the median was 13 days for those with no diaphragmatic dysfunction, 19 days with unilateral diaphragmatic dysfunction, and 28 days with bilateral diaphragmatic dysfunction (P < 0.001). Weaning success was not statistically associated with generalized neuromuscular disorders, age, sex, body mass index, smoking history, or diabetes. Diaphragmatic dysfunction was found to be strongly associated with time to wean and weaning success in the long-term acute care hospital setting. Very few patients despite being on prolonged mechanical ventilation were diagnosed with diaphragmatic dysfunction before long-term acute care hospital admission. Given this information, early diagnosis of diaphragmatic dysfunction among prolonged mechanical ventilation patients in the long-term acute care hospital setting is paramount in preventing secondary complications associated with mechanical ventilation.

A core outcome set for studies evaluating interventions to prevent and/or treat delirium for adults requiring an acute care hospital admission: an international key stakeholder informed consensus study

BackgroundTrials of interventions to prevent or treat delirium in adults in an acute hospital setting report heterogeneous outcomes. Our objective was to develop international consensus among key stakeholders for a core outcome set (COS) for future trials of interventions to prevent and/or treat delirium in adults with an acute care hospital admission and not admitted to an intensive care unit.MethodsA rigorous COS development process was used including a systematic review, qualitative interviews, modified Delphi consensus process, and in-person consensus using nominal group technique (registration http://www.comet- initiative.org/studies/details/796).Participants in qualitative interviews were delirium survivors or family members. Participants in consensus methods comprised international representatives from three stakeholder groups: researchers, clinicians, and delirium survivors and family members.ResultsItem generation identified 8 delirium-specific outcomes and 71 other outcomes from 183 studies, and 30 outcomes from 18 qualitative interviews, including 2 that were not extracted from the systematic review. De-duplication of outcomes and formal consensus processes involving 110 experts including researchers (N = 32), clinicians (N = 63), and delirium survivors and family members (N = 15) resulted in a COS comprising 6 outcomes: delirium occurrence and reoccurrence, delirium severity, delirium duration, cognition, emotional distress, and health-related quality of life. Study limitations included exclusion of non-English studies and stakeholders and small representation of delirium survivors/family at the in-person consensus meeting.ConclusionsThis COS, endorsed by the American and Australian Delirium Societies and European Delirium Association, is recommended for future clinical trials evaluating delirium prevention or treatment interventions in adults presenting to an acute care hospital and not admitted to an intensive care unit.

Use of Air-Fluidized or Fluid Immersion Redistribution Support Surfaces for the Treatment of Stage 4 Pressure Injuries: A Case Series

Healing of severe pressure injuries (PIs) in patients with multiple comorbidities requires a multifaceted and interdisciplinary approach and includes the use of support surfaces. Published clinical data guiding support surface selection are very limited. Long-term acute care hospitals frequently treat medically complex patients, many with severe PIs. To compare healing rates in patients with severe PIs on air-fluidized therapy (AFT) or fluid immersion system (FIS) support surfaces. After obtaining informed consent, patients with a stage 3 or 4 PI were randomized to receive either AFT or FIS in addition to the standard protocol of care. Baseline and weekly wound measurements were obatined using a 3-dimensional camera measurement tool. The required sample size was calculated to be 60. After the study had started, the long-term acute care hospital admission criteria changed, severely limiting the number of patients who met the study inclusion criteria. Only 4 patients with a stage 4 PI completed the study. Of those, 2 were on an AFT and 2 were on an FIS surface. All wounds reduced in size; 0.12 and 0.57 cm²/day for patients on AFT and 0.68 and 1.34 cm²/day for patients on FIS. All but 1 wound had a reduction in wound volume ranging from -0.2 and 0.97 cm³ to 1.78 and 4.18 cm³/day for patients on AFT and FIS, respectively. Obtaining much-needed evidence to guide support surface selections for patients with severe PIs is challenging and requires multicenter studies.

Impact of liposomal bupivacaine and provider choice on opioid use and service outcomes in Medicare outpatient surgical patients

Aims There is wide variation in opioid prescribing patterns after common surgical procedures. This study examines outcomes for beneficiaries undergoing hospital outpatient department (HOPD) procedures using liposomal bupivacaine (LB) for control of post-surgical pain. As a non-opioid surgical analgesic, LB may afford beneficial outcomes for reducing subsequent opioid use and improving post-surgical service use outcomes. Methods This retrospective cohort comparison study analyzed 100% Medicare claims data from 2014–2019. HOPD claims were matched to approximately 100 of the most common surgical procedures where LB was utilized. Within these procedures, a one-to-many, with replacement propensity score matching model was used to control for possible selection bias. By procedure, those claims which were identified as using LB for control of post-surgical pain were matched to those not receiving LB. Outcomes were the probability of a subsequent Part D opioid prescription fill, emergency department (ED) visit, and short-term acute care hospital admission. Results Higher provider use rates of LB are significantly correlated with a decrease in post-HOPD opioid use and a reduction in post-operative ED visits. For each 10% increase in LB use rate by a given provider, Part D opioid events by Day 30 decreased by 2.6 percentage points and by 2.1 percentage points by day 90 (p < .01). Similarly, for each 10% increase in provider LB use rate, there is a 0.4 percentage point reduction in post-operative ED use by day 30 (p < .01) and a 0.3 percentage point reduction by day 90 (p < .05). Limitations Part D data only indicate that a prescription was filled, not whether the drug was taken. Conclusions Increased provider use of LB is correlated with improved patient outcomes in real-world provider experience with the Medicare population for many outpatient procedures. Policies that support increased provider use of LB should reduce reliance on opioid drugs for post-surgical pain management.

Hospital admission rates, length of stay, and in-hospital mortality for common acute care conditions in COVID-19 vs. pre-COVID-19 era

ObjectivesThe impact of COVID-19 upon acute care admission rates and patterns are unknown. We sought to determine the change in rates and types of admissions to tertiary and specialty care hospitals in the COVID-19 era compared with pre-COVID-19 era. MethodsAcute care admissions to the largest tertiary care referral hospital, designated national referral centers for cardiac, cancer and maternity hospital in the State of Qatar during March 2020 (COVID-19 era) and January 2020 and March 2019 (pre-COVID-19 era) were compared. We calculated total admissions, admissions for eight specific acute care conditions, in-hospital mortality rate, and length of stay at each hospital. ResultsA total of 18,889 hospital admissions were recorded. A sharp decline ranging from 9% to 75% was observed in overall admissions. A decline in both elective and non-elective surgeries was observed. A decline of 9%–58% was observed in admissions for acute appendicitis, acute coronary syndrome, stroke, bone fractures, cancer, and live births, whereas an increase in admissions due to respiratory tract infections was observed. Overall length of stay was shorter in the COVID-19 period possibly suggesting lesser overall disease severity, with no significant change in in-hospital mortality. Unadjusted mortality rate for Qatar showed marginal increase in the COVID-19 period. ConclusionsWe observed a sharp decline in acute care hospital admissions, with a significant decline in admissions due to seven out of eight acute care conditions. This decline was associated with a shorter length of stay but not associated with a change in in-hospital mortality rate.

Attributable Length of Stay, Mortality Risk, and Costs of Bacterial Health Care-Associated Infections in Australia: A Retrospective Case-cohort Study.

BackgroundUnbiased estimates of the health and economic impacts of health care–associated infections (HAIs) are scarce and focus largely on patients with bloodstream infections (BSIs). We sought to estimate the hospital length of stay (LOS), mortality rate, and costs of HAIs and the differential effects on patients with an antimicrobial-resistant infection.MethodsWe conducted a multisite, retrospective case-cohort of all acute-care hospital admissions with a positive culture of 1 of the 5 organisms of interest (Escherichia coli, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, or Enterococcus faecium) from 1 January 2012 through 30 December 2016. Data linkage was used to generate a data set of statewide hospital admissions and pathology data. Patients with bloodstream, urinary, or respiratory tract infections were included in the analysis and matched to a sample of uninfected patients. We used multistate survival models to generate LOS, and logistic regression to derive mortality estimates.ResultsWe matched 20 390 cases to 75 635 uninfected control patients. The overall incidence of infections due to the 5 studied organisms was 116.9 cases per 100 000 patient days, with E. coli urinary tract infections (UTIs) contributing the largest proportion (51 cases per 100 000 patient days). The impact of a UTI on LOS was moderate across the 5 studied pathogens. Resistance significantly increased LOS for patients with third-generation cephalosporin-resistant K. pneumoniae BSIs (extra 4.6 days) and methicillin-resistant S. aureus BSIs (extra 2.9 days). Consequently, the health-care costs of these infections were higher, compared to corresponding drug-sensitive strains.ConclusionsThe health burden remains highest for BSIs; however, UTIs and respiratory tract infections contributed most to the health-care system expenditure.

Etiology of Acute Kidney Injury in Hospitalized Patients in a Tertiary Care Hospital

Background: Acute Kidney Injury (AKI) previously referred to as acute renal failure complicates acute care hospital admissions and intensive care unit patients. In AKI associated with sepsis and multiple organ failure, mortality is high and the outcome is usually determined bythe severity of the underlying disorder and other complications, rather than by kidney injury itself. Aim of our study was to evaluate the etiological profile of AKI in a tertiary care hospital like Chittagong Medical College Hospital (CMCH). &#x0D; Materials and methods: This observational study was conducted among 100 hospitalized patients in different wards of CMCH from November 2018 to April 2019. Patients were selected based on the Kidney Disease Improving Global Outcomes (KDIGO) criteria of AKI. An increase in serum creatinine &gt;0.3 mg/dl or &gt;1.5 times the baseline and a fall of urine output &lt;0.5 ml/kg/h for 6–12 h were the criteria for selection. A structured questionnaire was completed andbaseline level of serum creatinine, urine output were documented.&#x0D; Results: Out of 100 patients, 56 were males and 44 were females. Mean age of the patients was 40.89±12.74 years. Diabetes mellitus and Hypertension were the common comorbidities. Hypovolaemia and Sepsis were found to be most common cause which included diarrheal illness (27 patients) followed by Urinary Tract Infection (9 patients) and Community-Acquired Pneumonia (4 patients). Eleven patients had Surgical causes and only 8 had Obstetrical causes.&#x0D; Conclusion: Causes of AKI arepreventable and treatable. Timely appropriate management will reduce the incidence and improve the outcome of AKI.&#x0D; JCMCTA 2020 ; 31 (1) : 108-112