Risk Of Hospitalization Research Articles

Association Between Hemoglobin A1c and Development of Cardiovascular Disease in Canadian Men and WomenWithout Diabetes at Baseline: A Population-Based Study of 608 474 Adults.

We examined the association between hemoglobin A1c (HbA1c) and the development of cardiovascular disease (CVD) in men and women, without diabetes or CVD at baseline. This retrospective cohort study included adults aged 40 to <80 years in Alberta, Canada. Men and women were divided into categories based on a random HbA1c during a 3-year enrollment period. The primary outcome of CVD hospitalization and secondary outcome of combined CVD hospitalization/mortality were examined during a 5-year follow-up period until March 31, 2021. A total of 608 474 individuals (55.2% women) were included. Compared with HbA1c 5.0% to 5.4%, men with HbA1c of 5.5% to 5.9% had an increased risk of CVD hospitalization (adjusted hazard ratio [aHR], 1.12 [95% CI, 1.07-1.19]) whereas women did not (aHR, 1.01 [95% CI, 0.95-1.08]). Men and women with HbA1c of 6.0% to 6.4% had a 38% and 17% higher risk and men and women with HbA1c ≥6.5% had a 79% and 51% higher risk of CVD hospitalization, respectively. In addition, HbA1c of 6.0% to 6.4% and HbA1c ≥6.5% were associated with a higher risk (14% and 41%, respectively) of CVD hospitalization/death in men, but HbA1c ≥6.5% was associated with a 24% higher risk only among women. In both men and women, HbA1c ≥6.0% was associated with an increased risk of CVD and mortality outcomes. The association between CVD and HbA1c levels of 5.5% to 5.9%, considered to be in the "normal" range, highlights the importance of optimizing cardiovascular risk profiles at all levels of glycemia, especially in men.

Depressive symptoms are associated with clinical outcomes in heart failure with reduced ejection fraction.

The objective of this study was to examine associations between elevated depressive symptoms and increased risk of adverse clinical events patients with heart failure and reduced ejection fraction (HFrEF), as well as the potential contribution of health behaviours. One hundred forty-two men and women with HFrEF were enrolled through heart failure (HF) clinics and followed over time. At baseline and 6months, depressive symptoms were assessed by the Beck Depression Inventory-II (BDI-II) and HFrEF disease activity by B-type natriuretic peptide (BNP). The Self-Care of Heart Failure Index (SCHFI) was used to assess HF self-care behaviours. Proportional hazards regression models assessed the contribution of depressive symptoms and HFrEF disease biomarkers on death or cardiovascular hospitalization. Over a median follow-up period of 4years, 42 patients (30%) died, and 84 (60%) had cardiovascular hospitalizations. A 10-point higher baseline BDI-II score was associated with a 35% greater risk of death or cardiovascular hospitalization. Higher baseline BDI-II scores were associated with poorer HF self-care maintenance behaviours (R=-0.30, P<0.001) and fewer daily steps (R=-0.19, P=0.04), suggesting that elevated depressive symptoms may diminish important health behaviours. Increases in plasma BNP over 6months were associated with worse outcomes. Changes in BDI-II and plasma BNP over 6months were positively related (R=0.25, P=0.004). This study confirms that elevated depressive symptoms are associated with an increased likelihood of adverse clinical outcomes in patients with HFrEF. Poor health behaviours may contribute to the adverse association of elevated depressive symptoms with the increased hazard of adverse clinical outcomes.

Contemporary outpatient management of patients with worsening heart failure with reduced ejection fraction: Clinical outcome results from the CHART-HF study

BackgroundBased on available data from randomized clinical trials, patients with heart failure with reduced ejection fraction (HFrEF) and worsening HF events (WHFE) have substantial disease burden and poor outcomes. WHFE clinical outcome data in non-clinical trial patients, more representative of the US clinical practice, has not been demonstrated. Methods and resultsCHART-HF collected data from two complementary, non-clinical trial cohort with HFrEF (LVEF <45 %): 1) 1,000 patients from an integrated delivery network and 2) 458 patients from a nationwide physician panel. CHART-HF included patients with WHFE between 2017 and 2019 followed by an index outpatient cardiology visit ≤6 months, and patients without WHFE in a given year between 2017 and 2019, with the last outpatient cardiology visit in the same year as the index visit. Compared to patients without WHFE (after covariate adjustment, all p < 0.05), patients with WHFE had a greater risk of HF-related hospitalization (hazard ratio [HR]: 1.53–2.40) and next WHFE event (HR: 1.67–2.41) following index visits in both cohorts. ConclusionHFrEF patients with recent WHFE consistently had worse clinical outcomes in these non-clinical trial cohorts. Despite advances in therapies, unmet need to improve clinical outcomes in HFrEF patients with WHFE remains.

Proton pump inhibitors associated with severe COVID-19 among two-dose but not three-dose vaccine recipients.

Proton pump inhibitors (PPIs) may increase the risk of COVID-19 among non-vaccinated subjects via various mechanisms, including gut dysbiosis. We aimed to investigate whether PPIs also affect the clinical outcomes of COVID-19 among vaccine recipients. This was a territory-wide cohort study of 3272286 vaccine recipients (aged ≥18years) of ≥2 doses of either BNT162b2 or CoronaVac. Exclusion criteria included prior gastrointestinal surgery, immunocompromised status, and prior COVID-19. The primary outcome was COVID-19, and secondary outcomes included COVID-19-related hospitalization and severe infection (composite of intensive care unit admission, ventilatory support, and/or death). Covariates include age, sex, the Charlson Comorbidity Index, comorbidities, and concomitant medication use. Subjects were followed from index date (first dose of vaccination) until outcome occurrence, death, additional dose of vaccination, or March 31, 2022. Exposure was pre-vaccination PPI use (any prescription within 90days before the index date). Propensity score (PS) matching and a Poisson regression model were used to estimate the adjusted incidence rate ratio (aIRR) of outcomes with PPI use. Among 439154 PS-matched two-dose vaccine recipients (mean age: 65.3years; male: 45.7%) with a median follow-up of 6.8months (interquartile range: 2.6-7.9), PPI exposure was associated with a higher risk of COVID-19 (aIRR: 1.08; 95% confidence interval [95% CI]: 1.05-1.10), hospitalization (aIRR: 1.20; 95% CI: 1.08-1.33), and severe infection (aIRR: 1.57; 95% CI: 1.24-1.98). Among 188360 PS-matched three-dose vaccine recipients (mean age: 62.5years; male: 49.0%; median follow-up: 9.1months [interquartile range: 8.0-10.9]), PPIs were associated with higher infection risk (aIRR: 1.11; 95% CI: 1.08-1.15) but not other outcomes. Although PPI use was associated with a higher COVID-19 risk, severe infection was limited to two-dose but not three-dose vaccine recipients.

Risk of Hospitalization Associated with Use of Consumer-Directed Attendant Care

ABSTRACT Older people with disabilities living independently often use attendant care, also known as Personal Assistive Services (PAS). The aides providing care can come from a home health agency contracted by the state Medicaid authority, known as agency-directed PAS, or the Medicaid recipient can receive a monthly budget and arrange their own care, known as consumer-directed care. Consumer-directed care is hypothesized to have some possible benefits but could also potentially lead to health hazards. This study examined whether people receiving consumer-directed PAS versus people receiving agency-directed PAS faced a higher risk of hospitalization. The data for this study came from Pennsylvania Medicaid claims, enrollment files, standardized assessments, and hospitalization claims from Medicare and Medicaid. The analysis used two-stage least square regression, with the percentage of people in a county using consumer-directed care as an instrument for the type of PAS. People using consumer-directed care did not have a statistically significant difference in risk for hospitalization compared to people using agency-directed PAS (p = .976). Risk of hospitalization was not different for people using consumer-directed care compared to people using agency-directed care.

Longitudinal Analysis of Overlapping Psychosocial Factors Predicting Incident Hospitalization Among Mixed HIV Serostatus Men who have Sex with Men in the Multicenter AIDS Cohort Study.

Men who have sex with men (MSM) are at increased risk for certain types of chronic diseases and mental health problems. Despite having extended survival in the highly active antiretroviral therapy (HAART) era, MSM living with HIV contend with aging-related diseases and complications with treatment. Consequent hospitalizations incur high costs, fear, low quality of life, and frailty. Unlike heterosexual men, MSM experience more structural violence and "syndemics" of psychosocial factors that not only accelerate HIV acquisition and transmission risk but also may increase morbidity, leading to greater rates of hospitalization. We aim to examine the impact of "syndemic" psychosocial factors on the incidence of hospitalization among geographically diverse MSM in the US. Participants were 1760 MSM from the Multicenter AIDS Cohort Study (MACS) between 2004 and 2019. We examined the relationship between six psychosocial factors (depression, stimulant use, smoking, heroin use, childhood sexual abuse, and intimate partner violence) and incident hospitalization (admission to a hospital for treatment). We found a positive dose-response relationship between the number of syndemic factors and hospitalization. MSM reporting five or more syndemic factors had over twice the risk of hospitalization compared to MSM without syndemic factors [aRR = 2.14 (95% CI = 1.56, 2.94)]. Psychosocial factors synergistically increased hospitalizations over time. The positive dose-response relationship between the number of syndemic factors and hospitalization and the synergistic effects of these factors underscore the need for interventions that disentangle the syndemics to reduce hospitalization and related costs and improve the quality of life among MSM.

The clinical outcomes and effectiveness of antiviral agents among underweight patients with COVID-19

ABSTRACT Objectives This study investigated the outcomes ofunderweight patients with COVID-19 and the effectiveness of antiviral agents inthis population. Methods A retrospective cohort study using theTriNetX research network wasconducted. Propensity score matching (PSM) was employed to balance the firstcohort involving COVID-19 patients with underweight and normal-weight. In thesecond cohort, underweight patients receiving antiviral agents and untreatedindividuals were matched using PSM. The primary outcome was a composite ofall-cause hospitalization and death during the 7–30-day follow-up period. Results After PSM, the first cohort including eachgroup of 13,502 patients with balanced baseline characteristics were identifiedfor comparing the outcome of patients with underweight and normal weight. The underweightgroup had a higher risk of the composite primary outcome than those with normalweight (hazard ratio [HR], 1.251; 95% confidence interval [CI], 1.132–1.382). The second cohort included each 884 underweight patients withand without receiving antivirals.Compared with untreated patients,those receiving antiviral treatment had a lower risk of composite primaryoutcomes (HR, 0.426; 95% CI, 0.278–0.653). Conclusion Underweight status may be associated with ahigher risk of all-cause hospitalization and death in patients with COVID-19.Among underweight patients, antiviral agents demonstrated clinically beneficial effects.

The rates of septicemia in older adults with prostate cancer treated with abiraterone or enzalutamide: A population-based study

IntroductionProstate cancer (PCa) is the most common non-cutaneous tumor among American men. Androgen receptor signaling inhibitors such as abiraterone and enzalutamide have been approved for similar disease states among patients with advanced PCa. Existing data suggest using steroids is associated with an increased risk of infection. Because abiraterone is usually prescribed with prednisone, we sought to compare the risk of septicemia in patients using abiraterone vs. enzalutamide. Materials and MethodsWe utilized the SEER-Medicare-linked data and used negative binomial regression models to compare the changes in the rates of septicemia-related hospitalizations six months pre- and post-abiraterone and enzalutamide initiation. ResultsWe found that the incidence of septicemia-related hospitalizations increased 2.77 fold within six months of initiating abiraterone (incidence rate ratio [IRR]: 2.77, 95% confidence interval [CI]: 2.17–3.53) 1.97 fold within six months of starting enzalutamide (IRR: 1.97, 95% CI: 1.43–2.72). However, the difference in the changes did not reach statistical significance (interaction IRR: 0.71, 95% CI: 0.48–1.06). DiscussionThe findings suggest that both abiraterone and enzalutamide are associated with an increased risk of septicemia-related hospitalizations. However, the difference in the increase of septicemia risk following the two treatments did not reach statistical significance. Further studies are warranted to understand the mechanisms at play.

Artificial intelligence-assisted automated heart failure detection and classification from electronic health records.

Electronic health records (EHR) linked to Digital Imaging and Communications in Medicine (DICOM), biological specimens, and deep learning (DL) algorithms could potentially improve patient care through automated case detection and surveillance. We hypothesized that by applying keyword searches to routinely stored EHR, in conjunction with AI-powered automated reading of DICOM echocardiography images and analysing biomarkers from routinely stored plasma samples, we were able to identify heart failure (HF) patients. We used EHR data between 1993 and 2021 from Tayside and Fife (~20% of the Scottish population). We implemented a keyword search strategy complemented by filtering based on International Classification of Diseases (ICD) codes and prescription data to EHR data set. We then applied DL for the automated interpretation of echocardiographic DICOM images. These methods were then integrated with the analysis of routinely stored plasma samples to identify and categorize patients into HF with reduced ejection fraction (HFrEF), HF with preserved ejection fraction (HFpEF), and controls without HF. The final diagnosis was verified through a manual review of medical records, measured natriuretic peptides in stored blood samples, and by comparing clinical outcomes among groups. In our study, we selected the patient cohort through an algorithmic workflow. This process started with 60850 EHR data and resulted in a final cohort of 578 patients, divided into 186 controls, 236 with HFpEF, and 156 with HFrEF, after excluding individuals with mismatched data or significant valvular heart disease. The analysis of baseline characteristics revealed that compared with controls, patients with HFrEF and HFpEF were generally older, had higher BMI, and showed a greater prevalence of co-morbidities such as diabetes, COPD, and CKD. Echocardiographic analysis, enhanced by DL, provided high coverage, and detailed insights into cardiac function, showing significant differences in parameters such as left ventricular diameter, ejection fraction, and myocardial strain among the groups. Clinical outcomes highlighted a higher risk of hospitalization and mortality for HF patients compared with controls, with particularly elevated risk ratios for both HFrEF and HFpEF groups. The concordance between the algorithmic selection of patients and manual validation demonstrated high accuracy, supporting the effectiveness of our approach in identifying and classifying HF subtypes, which could significantly impact future HF diagnosis and management strategies. Our study highlights the feasibility of combining keyword searches in EHR, DL automated echocardiographic interpretation, and biobank resources to identify HF subtypes.

Abstract PO2-12-12: REaCT 5G: A randomized study comparing bone pain after 5 days of filgrastim or one day of pegfilgrastim for primary febrile neutropenia prophylaxis during neo-/adjuvant chemotherapy for early breast cancer

Abstract Background: Granulocyte colony stimulating factor (G-CSF) such as filgrastim (FIL) or pegfilgrastim (PEG) significantly reduces the risk of febrile neutropenia (FN) and treatment-related hospitalization in patients with early breast cancer receiving chemotherapy. However, patients receiving G-CSF can experience clinically significant bone pain. Previous studies examining post-GCSF bone pain were mostly based on physician pain assessment and compared mixed doses (30/60/100 μg/kg) of PEG vs. FIL (5μg/kg/day or 300 μg/day) given for 7 to 14 days. Based on a randomized non-inferiority study, 5 days of FIL is considered non-inferior to 10 days of FIL to prevent FN and hospitalizations and is frequently used in patients receiving chemotherapy for breast cancer. Patient-reported bone pain after 5 days of FIL vs. single dose of PEG has never been compared in a prospective randomized study and has important implications for patient and physician treatment preferences. Methods: In this multicenter, open-label trial, patients receiving neo-/adjuvant chemotherapy for early-stage breast cancer requiring primary FN prophylaxis with G-CSF were randomized 1:1 to either 5 days of FIL (300 μg or 480μg if ≥ 90 kg) or 1 day of PEG (6 mg) with each cycle of chemotherapy. The primary endpoint was bone pain using area under the curve (AUC) of the daily pain score from days 1-5 (AUC score 0 to 40) during cycle 1. We used linear regression adjusting for stratification factors [cancer center (2 centers) and chemotherapy regimen (taxane (TAX) or anthracycline (ANTH)-based during cycle 1] and prespecified baseline covariates: age, pain, and use of pain medications pre-chemotherapy. Supportive analysis of bone pain across cycles 1 to 4 was conducted using repeated linear regression. Key secondary endpoints included incidence of FN, hospitalizations, chemotherapy delay, dose-reduction or discontinuation, and chemotherapy-related deaths. Results: From June 2021 to March 2023, 233 patients were enrolled, with 217 patients (108 FIL/109 PEG) in the intention-to-treat analysis; 16 (7.4%) patients were excluded because of incomplete follow-up. Participants were mean age 55.6 years; almost exclusively female (99.1%), on chemotherapy regimen TAX 57% vs. ANTH 43%, had mean baseline pain score 1.12, and prevalence of pain medication use pre-chemotherapy was acetaminophen 14.7%, non-steroidal anti-inflammatory drugs (NSAIDs) 6.0% and opioids 3.2%. Characteristics were balanced between arms (Table 1). After repeated measures linear regression adjusted for age, chemotherapy regimen, baseline pain, and use of pain medications pre-chemotherapy, mean AUC for bone pain at cycle 1 was 10.94 for FIL and 10.12 for PEG (mean difference 0.82; 95% CI: -1.59, 3.23; p = 0.516). There was no significant difference between arms across treatment cycles (interaction p = 0.785; mean time-averaged difference 0.28; 95% CI: -1.75, 2.32). Across cycles 1 to 4, mean peak pain over 5 days post-GCSF was 3.27 vs. 3.41 (p=0.700); frequency of bone pain during first 8 days (pain score &amp;gt; 0) was 52.5% vs. 51.3%; p=0.358, and mean frequency of severe pain (pain score ≥ 5) was 17.5% vs. 15.2%; p=0.014 for FIL vs. PEG, respectively. The incidence of FN [4.6% vs. 0%, absolute difference 4.6% (95% CI: -0.3%, 9.5%; p=0.069)] and hospitalization [FN and non-FN related: 10.2% vs. 1.8%, absolute difference of 8.4% (95% CI: 1.2%, 15.5%; p=0.021)] was higher in the FIL group. There were no significant differences in chemotherapy delay (13% vs. 11%; p=0.815), dose reduction (14.8% vs. 14.7%; p=0.999), early discontinuation (8.3% vs. 5.5%; p=0.580), or chemotherapy-related death (0.9% vs. 0%; p=0.996) in the FIL vs. PEG groups, respectively. Conclusion: There was no difference in patient-reported bone pain after 5 days of FIL or PEG, even after controlling for important clinical factors. Importantly, the study observed higher rates of FN and hospitalizations in patients receiving FIL for 5 days only. Table 1 Baseline Characteristics Citation Format: Terry Ng, Yuxin Zhang, Carol Stober, Jennifer Shamess, Natalie Mills, Stuart Nicholls, Mohammed Ibrahim, Daniel Davoudpour, Christopher Armiento, Marie-France Savard, Moira Rushton, Arif Awan, Sandeep Sehdev, John Hilton, Xinni Song, Rakesh Goel, Fiona Macdonald, Kelly Daigle, Lisa Vandermeer, Monica Taljaard, Mark Clemons. REaCT 5G: A randomized study comparing bone pain after 5 days of filgrastim or one day of pegfilgrastim for primary febrile neutropenia prophylaxis during neo-/adjuvant chemotherapy for early breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO2-12-12.

Sex differences in the prognostic role of achieving target doses of heart failure medications: Data from the Swedish Heart Failure Registry.

Guidelines recommend target doses (TD) of heart failure (HF) with reduced ejection fraction (HFrEF) medications regardless of sex. Differences in pharmacokinetics and pharmacodynamics may explain heterogeneity in treatment response, adverse reactions, and tolerability issues across sexes. The aim of this study was to explore sex-based differences in the association between TD achievement and mortality/morbidity in HFrEF. Patients with HFrEF and HF duration ≥6 months registered in the Swedish HF Registry between May 2000 and December 2020 (follow-up until December 2021) were analysed. Treatments of interest were renin-angiotensin system inhibitors (RASI) or angiotensin receptor-neprilysin inhibitors (ARNI), and beta-blockers. Multivariable Cox regression models were performed to explore the risk of cardiovascular mortality or hospitalization for HF across dose categories in females versus males. A total of 17 912 patients were analysed (median age 77.0 years, interquartile range [IQR] 70.0-83.0), 29% were female. Over a median follow-up of 1.33 years (IQR 0.29-3.22), for RASI/ARNI there was no significant difference in outcome for females achieving 50-99% versus 100% of TD (hazard ratio 0.92, 95% confidence interval 0.83-1.03), whereas males showed a gradual lowering in risk together with the achievement of higher % of TD (p-interaction = 0.030). For beta-blockers the achievement of TD was associated with the lowest risk of outcome regardless of sex. Our findings suggest that females and males might differently benefit from the same dose of RASI/ARNI, and do represent a general call for randomized controlled trials to consider sex-specific up-titration schemes when testing HFrEF treatments in need of up-titration.

The role of traditional Chinese medicine on fracture surgery, hospitalization, and total mortality risks in diabetic patients with osteoporosis.

Studies have confirmed that osteoporosis has been considered as one of the complications of diabetes, and the health hazards to patients are more obvious. This study is mainly based on the Taiwan National Health Insurance Database (TNHID). Through the analysis of TNHID, it is shown that the combined treatment of traditional Chinese medicine (TCM) medicine in patients of diabetes with osteoporosis (T2DOP) with lower related risks. According to the study design, 3131 patients selected from TNHID who received TCM treatment were matched by 1-fold propensity score according to gender, age, and inclusion date as the control group. Cox proportional hazards analyzes were performed to compare fracture surgery, hospitalization, and all-cause mortality during a mean follow-up from 2000 to 2015. A total of 1055/1469/715 subjects (16.85%/23.46%/11.42%) had fracture surgery/inpatient/all-cause mortality of which 433/624/318 (13.83%/19.93%/10.16%) were in the TCM group) and 622/845/397 (19.87%/26.99%/12.68%) in the control group. Cox proportional hazards regression analysis showed that subjects in the TCM group had lower rates of fracture surgery, inpatient and all-cause mortality (adjusted HR = 0.467; 95% CI = 0.225-0.680, P<0.001; adjusted HR = 0.556; 95% CI = 0.330-0.751, P<0.001; adjusted HR = 0.704; 95% CI = 0.476-0.923, P = 0.012). Kaplan-Meier analysis showed that the cumulative risk of fracture surgery, inpatient and all-cause mortality was significantly different between the case and control groups (all log-rank p<0.001). This study provides longitudinal evidence through a cohort study of the value of integrated TCM for T2DOP. More research is needed to fully understand the clinical significance of these results.

Impact of COVID-19 on the veteran population: evidence from the Trends in Scottish Veterans Health study

IntroductionThere have been few epidemiological studies on the impact of the SARS-CoV-2 (COVID-19) pandemic on the veteran population, other than on specific aspects such as mental health, and none in...

Outpatient glucocorticoid use and COVID-19 outcomes: a population-based study.

Owing to controversy information surrounds effect of glucocorticoids on the evolution of COVID-19, we evaluate the effects of outpatient glucocorticoid use on the severity and progression of COVID-19 and risk of infection and analyse the effect of window of exposure and dose. We conducted a population-based case - control study, involving 4 substudies: (i) Hospitalisation; (ii) Mortality, using subjects hospitalised with a PCR + as cases and subjects without a PCR + as controls; (iii) Progression, including subjects with a PCR + (hospitalised versus non-hospitalised); and (iv) Susceptibility, with all subjects with a PCR + and subjects without a PCR + . Adjusted odds ratios (ORa) and their 95% confidence intervals (95% CI) were calculated. The outpatient glucocorticoid use was associated with an increased risk of hospitalisation (aOR 1.79; 95% CI 1.56-2.05), mortality (aOR 2.30; 95% CI 1.68-3.15), progression (aOR 1.69; 95% CI 1.43-2.00) and susceptibility (aOR 1.29, 95% CI 1.19-1.41). Furthermore, the effects was observed to be greater at higher doses and the closer that drug use approached the outcome date, with an almost fourfold increase in mortality among users in the previous month (aOR 3.85; 95% CI 2.63-5.62). According to the results of this real-world data study, outpatient glucocorticoid use should be considered in making decisions about intrahospital treatment.

Sequelae of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection among Kidney Transplant Recipients: A Large Single-Center Experience.

Kidney transplant recipients (KTRs) are a vulnerable immunocompromised population at risk of severe COVID-19 disease and mortality after SARS-CoV-2 infection. We sought to characterize the post-infection sequelae in KTRs at our center. We studied all adult KTRs (with a functioning allograft) who had their first episode of SARS-CoV-2 infection between 04/2020 and 04/2022. Outcomes of interest included risk factors for hospitalization, all-cause mortality, COVID-19-related mortality, and allograft failure. Of 979 KTRs with SARS-CoV-2 infection, 381 (39%) were hospitalized. In the multivariate analysis, risk factors for hospitalization included advanced age/year (HR: 1.03, 95% CI: 1.02-1.04), male sex (HR: 1.29, 95% CI: 1.04-1.60), non-white race (HR: 1.48, 95% CI: 1.17-1.88), and diabetes as a cause of ESKD (HR: 1.77, 95% CI: 1.41-2.21). SARS-CoV-2 Vaccination was associated with decreased risk of hospitalization (HR: 0.73, 95% CI: 0.59-0.90), all-cause mortality (HR: 0.52, 95% CI: 0.37-0.74), and COVID-19-related mortality (HR: 0.47, 95% CI: 0.31-0.71) in the univariate and multivariate analyses. Risk factors for both all-cause and COVID-19-related mortality in the multivariate analyses included advanced age, hospitalization, and respiratory symptoms for hospital admission. Furthermore, additional risk factors for all-cause mortality in the multivariate analysis included being a non-white recipient and diabetes as a cause of ESKD, with being a recipient of a living donor as protective. Hospitalization due to COVID-19-associated symptoms is associated with increased mortality. Vaccination is a protective factor against hospitalization and mortality.

A Systematic Review and Meta-Analysis of Randomised Controlled Trials Assessing Clinical and Haemodynamic Outcomes of Ivabradine in Heart Failure With Reduced Ejection Fraction Patients

Ivabradine, a pure bradycardic agent, can be given to heart failure reduced ejection fraction (HFrEF) patients with a sinus rhythm of ≥70 bpm on a maximum beta blocker dose, or when beta blockers are contraindicated. This study aimed to see how ivabradine affects the clinical and haemodynamic outcomes of HFrEF patients. This systematic review and meta-analysis searched ClinicalTrials.gov, OpenMD, ProQuest, PubMed, and ScienceDirect for potential articles. All relevant data were extracted. For all pooled effects, the random effect model was applied. A total of 18,972 heart failure (HF) patients from nine randomised clinical trials (RCTs) were involved in this study. Ivabradine decreased the risk of HF mortality (RR 0.79; 95% CI 0.64-0.98; p=0.03) and HF hospitalisation (RR 0.80; 95% CI 0.65-0.97; p=0.03). Ivabradine was related to a greater reduction in heart rate (MD -12.21; 95% CI -15.47 - -8.96; p<0.01) and left ventricular ejection fraction (LVEF) improvement (MD 3.24; 95% CI 2.17-4.31; p <0.01) compared with placebo. Asymptomatic bradycardia (RR 4.25; 95% CI 3.36-5.39; p<0.01) and symptomatic bradycardia (RR 3.99; 95% CI 3.17-5.03; p<0.01) were higher in the ivabradine group. Ivabradine can reduce the risk of HF mortality and HF hospitalisation in HFrEF patients. Ivabradine also effectively reduces resting heart rate and improves LVEF. However, ivabradine is associated with a greater risk of symptomatic and asymptomatic bradycardia.

Risk factors for COVID-19 hospitalisation after booster vaccination during the Omicron period: a French nationwide cohort study

BackgroundIn spite of major effectiveness, a residual risk after COVID-19 primary vaccination was identified, in particular, for vulnerable individuals of advanced age or with comorbidities. Less is known about the Omicron period in people protected by a booster dose. We aimed to identify the characteristics associated with severe COVID-19 during the Omicron period in a population that had received a booster dose in France and to compare differences with the previous periods of the pandemic. MethodsThis study was carried out using the French national COVID-19 vaccination database (VAC-SI) coupled with the National Health Data System (SNDS). Individuals aged 12 years or over who received at least one booster dose were identified. Associations between socio-demographic and clinical characteristics and the risk of COVID-19 hospitalisation occurring at least 14 days after receiving a third dose of vaccine during the period of Omicron predominance, i.e., from 1 January 2022 to 10 November 2022, were assessed using Cox proportional hazard models adjusted for age, sex, time since booster dose and vaccination schedule. Analyses were performed overall and by sub-period of circulation of the strains BA.1, BA.2, and BA.4/BA.5, defined as periods where the main sub-variant accounted for more than 80% of genotyped samples. FindingsIn total, 35,640,387 individuals received a booster dose (mean follow-up of 291 days) and 73,989 were hospitalised for COVID-19 during the total period. Older age (aHR 20.5 95% CI [19.5 – 21.5] for 90 years of age or older versus 45–54 years of age), being male (aHR 1.52 [1.50 – 1.55]), and social deprivation (aHR 1.33 [1.30 – 1.37] for the most deprived areas versus the least deprived) were associated with an increased risk of hospitalisation for COVID-19. Most of the chronic diseases considered were also positively associated with a residual risk, in particular, cystic fibrosis (aHR 9.83 [7.68-12.56]), active lung cancer (aHR 3.26 [3.06-3.47]), chronic dialysis (aHR 3.79 [3.49-4.11]), psychological and neurodegenerative diseases (more markedly than during the periods of circulation of the alpha and delta variants), and organ transplantation. The use of immunosuppressants was also associated with an increased risk (aHR 2.24 [2.14-2.35], including oral corticosteroids aHR (2.58 [2.58-2.67]). ConclusionDespite an effective booster and a generally less virulent circulating variant, a residual risk of severe COVID-19 still exists in vulnerable populations, especially those with neurological disorders.

Exacerbation predictive modelling using real-world data from the myCOPD app

BackgroundAcute exacerbations of COPD (AECOPD) are episodes of breathlessness, cough and sputum which are associated with the risk of hospitalisation, progressive lung function decline and death. They are often missed or diagnosed late . Accurate timely intervention can improve these poor outcomes. Digital tools can be used to capture symptoms and other clinical data in COPD. This study aims to apply machine learning to the largest available real-world digital dataset to identify AECOPD Prediction tool which could be used to support early intervention improve clinical outcomes. ObjectiveTo create and validate a machine learning predictive model that forecasts exacerbations of COPD 1-8 days in advance. The model is based on routine patient-entered data from myCOPD self-management app. MethodAdaptations of the AdaBoost algorithm were employed as machine learning approaches. The dataset included 506 patients users between 2017-2021. 55,066 app records were available for stable COPD event labels and 1,263 records of AECOPD event labels. The data used for training the model included COPD assessment test (CAT) scores, symptom scores, smoking history, and previous exacerbation frequency. All exacerbation records used in the model were confined to the 1-8 days preceding a self-reported exacerbation event. ResultsTheEasyEnsemble Classifier resulted in a Sensitivity of 67.0% and a Specificity of 65% with a positive predictive value (PPV) of 5.0% and a negative predictive value (NPV) of 98.9%. An AdaBoost model with a cost-sensitive decision tree resulted in a a Sensitivity of 35.0% and a Specificity of 89.0% with a PPV of 7.08% and NPV of 98.3%. ConclusionThis preliminary analysis demonstrates that machine learning approaches to real-world data from a widely deployed digital therapeutic has the potential to predict AECOPD and can be used to confidently exclude the risk of exacerbations of COPD within the next 8 days.

The influence of neighborhood income on healthcare utilization in pediatric liver transplant.

Neighborhood contextual factors are associated with liver transplant outcomes. We analyzed associations between neighborhood-level socioeconomic status and healthcare utilization for pediatric liver transplant recipients. We merged the Pediatric Health Information System and Scientific Registry of Transplant Recipients databases and included liver transplant recipients ≤21 years hospitalized between January 2004 and May 2022. Outcomes were annual inpatient bed-days, risk of hospitalizations, and risk of liver biopsies. The primary exposure was zip code-based neighborhood income at transplant. We applied causal inference for variable selection in multivariable analysis. We modeled annual inpatient bed-days with mixed-effect zero-inflated Poisson regression, and rates of hospitalization and liver biopsy with a Cox-type proportional rate model. We included 1006 participants from 29 institutions. Children from low-income neighborhoods were more likely to be publicly insured (67% vs. 46%), Black (20% vs. 12%), Hispanic (30% vs. 17%), and have higher model for end-stage liver disease/pediatric end-stage liver disease model scores at transplant (17 vs. 13) than the remaining cohort. We found no differences in inpatient bed-days or rates of hospitalization across neighborhood groups. In univariable analysis, low-income neighborhoods were associated with increased rates of liver biopsy (RR: 1.57, 95% CI: 1.04-2.34, p = 0.03). These findings persisted after adjusting for insurance, race, and ethnicity (RR: 1.86, 95% CI: 1.23-2.83, p < 0.01). Children from low-income neighborhoods undergo more liver biopsies than other children. These procedures are invasive and potentially preventable. In addition to improving outcomes, interventions to mitigate health inequities among liver transplant recipients may reduce resource utilization.

A qualitative study identifying the potential risk mechanisms leading to hospitalization for patients with chronic lung disease

BackgroundCare management programs for chronic lung disease attempt to reduce hospitalizations, yet have not reliably attained this goal. A key limitation of many programs is that they target patients with characteristics associated with hospitalization risk but do not specifically modify the mechanisms that lead to hospitalization. Research QuestionWhat are the common mechanisms underlying known patient-level risk characteristics leading to hospitalizations for acute exacerbations of chronic lung disease? Study Design and MethodsWe conducted a qualitative study of patients admitted to the University of Pennsylvania Health system with acute exacerbations of chronic lung disease between January and September 2019. We interviewed patients, their family caregivers, and their inpatient and outpatient clinicians about experiences leading up to the hospitalization. We analyzed the interview transcripts using triangulation and abductive analytic methods. ResultsWe conducted 69 interviews focused on the admission of 22 patients with a median age of 66 years (interquartile range 60 to 70), of whom 16 (73%) were women and 14 (64%) were Black. We interviewed 22 patients, 14 caregivers, 19 inpatient clinicians, and 14 outpatient clinicians. We triangulated the available interview data for each patient admission and identified the underlying mechanisms of how several known patient characteristics associated with risk actually led to hospitalization. These mechanisms included limited capacity for home management of acute symptom changes, barriers to accessing care, chronic functional limitations, and comorbid behavioral health disorders. Importantly, many of the clinical, social, and behavioral mechanisms underlying hospitalizations were present for months or years prior to the symptoms that prompted inpatient care. InterpretationCare management programs should be built to target specific clinical, social, and behavioral mechanisms that directly lead to hospitalization. Upstream interventions that reduce hospitalization risk are possible given that many contributory mechanisms are present for months or years before the onset of acute exacerbations.