Increased frequency and mortality in persons with neurological disorders during COVID-19.

Determining the frequency and outcomes of neurological disorders associated with coronavirus disease 2019 (COVID-19) is imperative for understanding risks and for recognition of emerging neurological disorders. We investigated the susceptibility and impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection among persons with premorbid neurological disorders, in addition to the post-infection incidence of neurological sequelae, in a case-control population-based cohort. Using health service data collected between 1 March 2020 and 30 June 2021, we constructed a cohort of SARS-CoV-2 RNA-positive (n = 177 892) and -negative (n = 177 800) adults who were age, sex and comorbidity matched and underwent RT-PCR testing at similar times. COVID-19-associated mortality rates were examined within the cohort. Neurological sequelae were analysed during the acute (<3 months) and the post-acute (3-9 months) phases post-infection. The risk of death was significantly greater in the SARS-CoV-2 RNA-positive (2140 per 100 000 person years) compared with RNA-negative (922 per 100 000 person years) over a follow-up of 9 months, particularly amongst those with premorbid neurological disorders: adjusted odds ratios (95% confidence interval) in persons with a prior history of parkinsonism, 1.65 (1.15-2.37); dementia, 1.30 (1.11-1.52); seizures, 1.91 (1.26-2.87); encephalopathy, 1.82 (1.02-3.23); and stroke, 1.74 (1.05-2.86). There was also a significantly increased risk for diagnosis of new neurological sequelae during the acute time phase after COVID-19, including encephalopathy, 2.0 (1.10-3.64); dementia, 1.36 (1.07-1.73); seizure, 1.77 (1.22-2.56); and brain fog, 1.96 (1.20-3.20). These risks persisted into the post-acute phase after COVID-19, during which inflammatory myopathy (2.57, 1.07-6.15) and coma (1.87, 1.22-2.87) also became significantly increased. Thus, persons with SARS-CoV-2 infection and premorbid neurological disorders are at greater risk of death, and SARS-CoV-2 infection was complicated by increased risk of new-onset neurological disorders in both the acute and post-acute phases of COVID-19.

Ambulatory Cardiology or General Internal Medicine Assessment Prior to Scheduled Major Vascular Surgery is Associated with Improved Outcomes.

OBJECTIVE: To characterize the association between ambulatory cardiology or general internal medicine (GIM) assessment prior to surgery and outcomes following scheduled major vascular surgery. BACKGROUND: Cardiovascular risk assessment and management prior to high-risk surgery remains an evolving area of care. METHODS: This is population-based retrospective cohort study of all adults who underwent scheduled major vascular surgery in Ontario, Canada, April 1, 2004-March 31, 2019. Patients who had an ambulatory cardiology and/or GIM assessment within 6 months prior to surgery were compared to those who did not. The primary outcome was 30-day mortality. Secondary outcomes included: composite of 30-day mortality, myocardial infarction or stroke; 30-day cardiovascular death; 1-year mortality; composite of 1-year mortality, myocardial infarction or stroke; and 1-year cardiovascular death. Cox proportional hazard regression using inverse probability of treatment weighting (IPTW) was used to mitigate confounding by indication. RESULTS: Among 50,228 patients, 20,484 (40.8%) underwent an ambulatory assessment prior to surgery: 11,074 (54.1%) with cardiology, 8,071 (39.4%) with GIM and 1,339 (6.5%) with both. Compared to patients who did not, those who underwent an assessment had a higher Revised Cardiac Risk Index (N with Index over 2= 4,989[24.4%] vs. 4,587[15.4%], P<0.001) and more frequent pre-operative cardiac testing (N=7,772[37.9%] vs. 6,113[20.6%], P<0.001) but, lower 30-day mortality (N=551[2.7%] vs. 970[3.3%], P<0.001). After application of IPTW, cardiology or GIM assessment prior to surgery remained associated with a lower 30-day mortality (weighted Hazard Ratio [95%CI] = 0.73 [0.65-0.82]) and a lower rate of all secondary outcomes. CONCLUSIONS: Major vascular surgery patients assessed by a cardiology or GIM physician prior to surgery have better outcomes than those who are not. Further research is needed to better understand potential mechanisms of benefit.

Uptake of SGLT2i and Outcomes in Patients with Diabetes and Heart Failure: A Population-Based Cohort and a Specialized Clinic Cohort.

BACKGROUND: Sodium-glucose cotransporter-2 (SGLT2) inhibitors are effective in adults with diabetes mellitus (DM) and heart failure (HF) based on randomized clinical trials. We compared SGLT2 inhibitor uptake and outcomes in two cohorts: a population-based cohort of all adults with DM and HF in Alberta, Canada and a specialized heart function clinic (HFC) cohort. METHODS: The population-based cohort was derived from linked provincial healthcare datasets. The specialized clinic cohort was created by chart review of consecutive patients prospectively enrolled in the HFC between February 2018 and August 2022. We examined the association between SGLT2 inhibitor use (modeled as a time-varying covariate) and all-cause mortality or deaths/cardiovascular hospitalizations. RESULTS: Of the 4,885 individuals from the population-based cohort, 64.2% met the eligibility criteria of the trials proving the effectiveness of SGLT2 inhibitors. Utilization of SGLT2 inhibitors increased from 1.2% in 2017 to 26.4% by January 2022. In comparison, of the 530 patients followed in the HFC, SGLT2 inhibitor use increased from 9.8% in 2019 to 49.1 % by March 2022. SGLT2 inhibitor use in the population-based cohort was associated with fewer all-cause mortality (aHR 0.51, 95%CI 0.41-0.63) and deaths/cardiovascular hospitalizations (aHR 0.65, 95%CI 0.54-0.77). However, SGLT2 inhibitor usage rates were far lower in HF patients without DM (3.5% by March 2022 in the HFC cohort). CONCLUSIONS: Despite robust randomized trial evidence of clinical benefit, the uptake of SGLT2 inhibitors in patients with HF and DM remains low, even in the specialized HFC. Clinical care strategies are needed to enhance the use of SGLT2 inhibitors and improve implementation.

Myocardial Injury After Noncardiac Surgery in Major General Surgical Patients a Prospective Observational Cohort Study.

OBJECTIVE: The objective of this study was to determine the prognostic relevance, clinical characteristics, and 30-day outcomes associated with myocardial injury after noncardiac surgery (MINS) in major general surgery patients. BACKGROUND: MINS has been independently associated with 30-day mortality after noncardiac surgery. The characteristics and prognostic importance of MINS in major general surgical patients have not been described. METHODS: This was an international prospective cohort study of a representative sample of 22,552 noncardiac surgery patients 45 years or older, of whom 4490 underwent major general surgery in 24 centers in 13 countries. All patients had fifth-generation plasma high-sensitivity troponin T (hsTnT) concentrations measured during the first 3 postoperative days. MINS was defined as a hsTnT of 20-65 ng/L and absolute change >5 ng/L or hsTnT ≥65 ng/L secondary to ischemia. The objectives of the present study were to determine (1) whether MINS is prognostically important in major general surgical patients, (2) the clinical characteristics of major general surgical patients with and without MINS, (3) the 30-day outcomes for major general surgical patients with and without MINS, and (4) the proportion of MINS that would have gone undetected without routine postoperative monitoring. RESULTS: The incidence of MINS in the major general surgical patients was 16.3% (95% CI, 15.3-17.4%). Thirty-day all-cause mortality in the major general surgical cohort was 6.8% (95% CI, 5.1%-8.9%) in patients with MINS compared with 1.2% (95% CI, 0.9%-1.6%) in patients without MINS ( P <0.01). MINS was independently associated with 30-day mortality in major general surgical patients (adjusted odds ratio 4.7, 95% CI, 3.0-7.4). The 30-day mortality was higher both among MINS patients with no ischemic features (ie, no ischemic symptoms or electrocardiogram findings) (5.4%, 95% CI, 3.7%-7.7%) and among patients with 1 or more clinical ischemic features (10.6%, 95% CI, 6.7%-15.8%). The proportion of major general surgical patients who had MINS without ischemic symptoms was 89.9% (95% CI, 87.5-92.0). CONCLUSIONS: Approximately 1 in 6 patients experienced MINS after major general surgery. MINS was independently associated with a nearly 5-fold increase in 30-day mortality. The vast majority of patients with MINS were asymptomatic and would have gone undetected without routine postoperative troponin measurement.

Reduction of dietary sodium to less than 100 mmol in heart failure (SODIUM-HF): an international, open-label, randomised, controlled trial.

BACKGROUND: Dietary restriction of sodium has been suggested to prevent fluid overload and adverse outcomes for patients with heart failure. We designed the Study of Dietary Intervention under 100 mmol in Heart Failure (SODIUM-HF) to test whether or not a reduction in dietary sodium reduces the incidence of future clinical events. METHODS: SODIUM-HF is an international, open-label, randomised, controlled trial that enrolled patients at 26 sites in six countries (Australia, Canada, Chile, Colombia, Mexico, and New Zealand). Eligible patients were aged 18 years or older, with chronic heart failure (New York Heart Association [NYHA] functional class 2-3), and receiving optimally tolerated guideline-directed medical treatment. Patients were randomly assigned (1:1), using a standard number generator and varying block sizes of two, four, or six, stratified by site, to either usual care according to local guidelines or a low sodium diet of less than 100 mmol (ie, <1500 mg/day). The primary outcome was the composite of cardiovascular-related admission to hospital, cardiovascular-related emergency department visit, or all-cause death within 12 months in the intention-to-treat (ITT) population (ie, all randomly assigned patients). Safety was assessed in the ITT population. This study is registered with ClinicalTrials.gov, NCT02012179, and is closed to accrual. FINDINGS: Between March 24, 2014, and Dec 9, 2020, 806 patients were randomly assigned to a low sodium diet (n=397) or usual care (n=409). Median age was 67 years (IQR 58-74) and 268 (33%) were women and 538 (66%) were men. Between baseline and 12 months, the median sodium intake decreased from 2286 mg/day (IQR 1653-3005) to 1658 mg/day (1301-2189) in the low sodium group and from 2119 mg/day (1673-2804) to 2073 mg/day (1541-2900) in the usual care group. By 12 months, events comprising the primary outcome had occurred in 60 (15%) of 397 patients in the low sodium diet group and 70 (17%) of 409 in the usual care group (hazard ratio [HR] 0·89 [95% CI 0·63-1·26]; p=0·53). All-cause death occurred in 22 (6%) patients in the low sodium diet group and 17 (4%) in the usual care group (HR 1·38 [0·73-2·60]; p=0·32), cardiovascular-related hospitalisation occurred in 40 (10%) patients in the low sodium diet group and 51 (12%) patients in the usual care group (HR 0·82 [0·54-1·24]; p=0·36), and cardiovascular-related emergency department visits occurred in 17 (4%) patients in the low sodium diet group and 15 (4%) patients in the usual care group (HR 1·21 [0·60-2·41]; p=0·60). No safety events related to the study treatment were reported in either group. INTERPRETATION: In ambulatory patients with heart failure, a dietary intervention to reduce sodium intake did not reduce clinical events. FUNDING: Canadian Institutes of Health Research and the University Hospital Foundation, Edmonton, Alberta, Canada, and Health Research Council of New Zealand.

Association Between Vaccination Status and Outcomes in Patients Admitted to the ICU With COVID-19.

OBJECTIVES: Although COVID-19 vaccines can reduce the need for intensive care unit admission in COVID-19, their effect on outcomes in critical illness remains unclear. We evaluated outcomes in vaccinated patients admitted to the ICU with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and the association between vaccination and booster status on clinical outcomes. DESIGN: Retrospective cohort. SETTING AND PATIENTS: All patients were admitted to an ICU between January 2021 (after vaccination was available) and July 2022 with a diagnosis of COVID-19 based on a SARS-CoV-2 polymerase chain reaction test in Alberta, Canada. INTERVENTIONS: None. MEASUREMENT: The propensity-matched primary outcome of all-cause in-hospital mortality was compared between vaccinated and unvaccinated patients, and vaccinated patients were stratified by booster dosing. Secondary outcomes were mechanical ventilation (MV) duration ICU length of stay (LOS). MAIN RESULTS: The study included 3,293 patients: 743 (22.6%) were fully vaccinated (54.6% with booster), 166 (5.0%) were partially vaccinated, and 2,384 (72.4%) were unvaccinated. Unvaccinated patients were more likely to require invasive MV (78.4% vs 68.2%), vasopressor use (71.1% vs 66.6%), and extracorporeal membrane oxygenation (2.1% vs 0.5%). In a propensity-matched analysis, in-hospital mortality was similar (31.8% vs 34.0%, adjusted odds ratio [OR], 1.25; 95% CI, 0.97-1.61), but median duration MV (7.6 vs 4.7 d; p < 0.001) and ICU LOS (6.6 vs 5.2 d; p < 0.001) were longer in unvaccinated compared to fully vaccinated patients. Among vaccinated patients, greater than or equal to 1 booster had lower in-hospital mortality (25.5% vs 40.9%; adjusted OR, 0.50; 95% CI, 0.0.36-0.68) and duration of MV (3.8 vs 5.6 d; p = 0.025). CONCLUSIONS: Nearly one in four patients admitted to the ICU with COVID-19 after widespread COVID-19 vaccine availability represented a vaccine-breakthrough case. Mortality risk remains substantial in vaccinated patients and similar between vaccinated and unvaccinated patients after the onset of critical illness. However, COVID-19 vaccination is associated with reduced ICU resource utilization and booster dosing may increase survivability from COVID-19-related critical illness.

Time to Triple Therapy in Patients With de Novo Heart Failure With Reduced Ejection Fraction: a Population-Based Study.

BACKGROUND: Quadruple therapy is recommended for the management of patients with heart failure (HF) and reduced ejection fraction (HFrEF). In order to provide background and identify barriers to quadruple therapy, in this study, the aim was to explore the time to initiation of triple therapy in a population-based cohort of patients with de novo HF. METHODS: Adult patients with de novo hospital or emergency department (ED) diagnosis of HF between April 1, 2008, and March 31, 2018, in Alberta, Canada, were included and were linked to echocardiography data to identify patients with HFrEF (EF ≤ 40%). Any treatment with angiotensin-converting enzyme inhibitors/ angiotensin receptor blockers/ angiotensin receptor neprilysin inhibitors, beta-blockers, and mineralocorticoid receptor antagonists was captured if prescribed for ≥ 28 days and filled at least once during the 12 months after the index episode. RESULTS: Among 14,092 patients with de novo HF and available echocardiography data, 54.9% had HFrEF. By 1 year after diagnosis, of those in the HFrEF cohort, 9.5% had received no therapy, 27.5% monotherapy, 41.6% dual therapy, and 21.4% triple therapy. The median (interquartile range) of time to mono-, dual- and triple therapy in patients with HFrEF were 1 (0, 26), 8 (0, 44), and 14 (0, 52) days, respectively. Patients who received triple therapy were younger, more likely to be male and to have higher frequencies of coronary artery disease, higher glomerular filtration rates and lower left ventricular ejection fraction levels compared to their counterparts. Patients with triple therapy had lower rates of clinical outcomes compared to those on no, mono or dual therapy (adjusted hazard ratio 0.15, 95% confidence interval 0.13, 0.17 for the composite outcome of death, hospitalization due to HF, or ED visit due to HF). CONCLUSION: Despite guideline recommendations, triple therapy is underused and is slowly deployed in patients with HFrEF, even after hospitalization and ED presentation.

Kidney function monitoring and trajectories in patients with atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) and chronic kidney disease (CKD) frequently co-exist. The frequency of kidney monitoring and range of kidney function in patients with AF in clinical practice are uncertain. METHODS: All adult Albertans with AF between 2008 and 2017 were identified using ICD-9 and -10 codes 427.3 and I48. Kidney Disease Improving Global Outcomes (KDIGO) risk categories were defined using eGFR by the Chronic Kidney Disease Epidemiology Collaborative equation and albuminuria results within 6 months of eGFR measurement. eGFR trajectories were compared from baseline to maximum value within the following year. RESULTS: Among 105,946 patients with AF, 16.0% were KDIGO category G1 (eGFR ≥ 90), 49.0% G2 (60-89.9), 19.8% G3a (45-59.9), 11.4% G3b (30-44.9), and G4 3.8% (15-29.9). Albuminuria was normal/mild 83.4%, moderate 11.7%, and severe 4.9%. Kidney monitoring was more common among people with lower eGFR and worse albuminuria, from approximately twice annually for G1-2/A1-2 to 8 times annually in stage G4A3. Approximately 60-80% of patients received guideline-recommended monitoring, consistent across KDIGO stages. With lower baseline eGFR, annual change in eGFR decreased while the relative proportion of patients who worsened compared to improved increased: for baseline eGFR 60-89.9, 16.7% worsened vs 6.7% improved, but for eGFR 30-44.9, 8.8% worsened but only 1.0% improved. CONCLUSION: The frequency of kidney function monitoring in patients with AF increased with worsening KDIGO risk category and adhered to KDIGO guidelines in approximately three quarters of patients. A minority of patients had moderate to severe eGFR impairment, of whom most remained stable over 1 year.

Predicting 30-Day Readmissions in Patients With Heart Failure Using Administrative Data: A Machine Learning Approach.

BACKGROUND: We sought to develop machine learning (ML) models trained on administrative data which predict risk of readmission in patients with heart failure and to evaluate and compare the ML model with the currently used LaCE score using clinically informative metrics. METHODS AND RESULTS: This prognostic study was conducted in Alberta, Canada, on 9845 patients with confirmed heart failure admitted to hospital between 2012 and 2019. The outcome was unplanned all-cause hospital readmission within 30 days of discharge. We used 80% of the data for the ML model development and 20% for independent validation. We reported, using the validation set, c-statistics (area under the receiver operating characteristic curves)and performance metrics (likelihood ratio, positive predictive values) for the XGBoost model and a modified LaCE score within their respective predictive thresholds. Boosted tree-based classifiers had higher area under the receiver operating characteristic curves (0.65 for XGBoost) compared with others (0.58 for neural networks) and 0.57 for the modified LaCE. Within the predicted threshold range of the XGBoost classifier, the positive likelihood ratio was 1.00 at the low end of predicted risk and 6.12 at the high end, resulting in a positive predictive value (post-test probability) range of 21%-62%; the pretest probability of readmission was 20.9% using prevalence. The corresponding positive likelihood ratios and positive predictive values across LaCE score thresholds were 1.00-1.20 and 21%-24%, respectively. CONCLUSIONS: Despite predicting readmissions better than the LaCE, even the best ML model trained on administrative health data (XGBoost) did not provide substantially informative prediction performance as it only generated a moderate shift from pre to post-test probability. Health systems wishing to deploy such a tool should consider training ML models with additional data. Adding other techniques like natural language processing, along with ML, to use other clinical information (like chart notes) might improve prediction performance.

Epidemiology of Worsening Heart Failure in a Population-based Cohort from Alberta, Canada: Evaluating Eligibility for Treatment With Vericiguat.

BACKGROUND: Patients with heart failure (HF) and a reduced ejection fraction (HFrEF) who experience worsening HF (WHF) events are at increased risk of adverse outcomes and experience significant morbidity and mortality. We herein describe the epidemiology of these patients and identify those potentially eligible for vericiguat therapy in this population-based study. METHODS AND RESULTS: This retrospective cohort study included hospitalized or emergency department patients with a primary diagnosis of HF and a left ventricular ejection fraction (LVEF) of less than 45% diagnosed between April 1, 2009, and March 31, 2019 in Alberta, Canada, with follow-up to March 31, 2020. Inclusion criteria from the VerICiguaT Global Study in Subjects with Heart Failure with Reduced Ejection (VICTORIA) trial were applied to explore eligibility for vericiguat. Among 25,629 patients with HF and LVEF data, 9948 (38.8%) had HFrEF, of which 5259 (52.8%) experienced WHF at some point during a median 5.8 years of follow-up, and 38.3% of those met the vericiguat trial eligibility criteria. Compared with patients with HFrEF without WHF, those with WHF were older, with more comorbidities, worse renal function, and similar LVEF status, but greater use of HF medications at baseline. At the time of WHF, 27% of those with HFrEF and WHF were on triple therapy, 50.6% were on dual therapy, and 15.4% were on monotherapy. All-cause mortality and the composite outcome of all-cause mortality or cardiovascular hospitalization at 1-year of follow-up were higher in the HFrEF with WHF cohort compared with HFrEF without WHF (adjusted hazard ratios of 1.92 and 1.51, respectively, both P < .0001). CONCLUSIONS: Approximately one-half of patients with HFrEF experienced WHF over the long-term follow-up. Most were not on triple therapy, highlighting the underuse of the existing standard-of-care treatments and opportunities for application of newer therapies; more than one-third of patients with HFrEF may be eligible for vericiguat. LAY SUMMARY: Among patients with heart failure (HF), those who experience worsening HF (WHF) are at increased risk of adverse outcomes. A few new therapies, including vericiguat, have emerged recently for patients with HF and reduced ejection fraction. However, the epidemiology, treatment patterns, and outcomes of patients with WHF in large representative populations is unclear. In the current study, approximately one-half of the patients with HF and reduced ejection fraction experienced WHF and 38.3% were potentially eligible for vericiguat therapy. The guideline-recommended therapies were under-utilized among patients with WHF, which highlights the need for initiatives to address this care gap.

The Incidence and Prevalence of Cardiac Amyloidosis in a Large Community-Based Cohort in Alberta, Canada.

BACKGROUND: Despite the improved awareness of cardiac amyloidosis among clinicians, its incidence and prevalence is not well-described in a community setting. We sought to investigate the incidence and prevalence of cardiac amyloidosis in the community. METHODS AND RESULTS: In the adult population of Alberta, we examined 3 cohorts: (1) probable cases of cardiac amyloidosis: the presence of physician-assigned diagnosis of amyloidosis (International Classification of Diseases [ICD]-10 code E85; ICD-9 277.3) and 1 or more health care encounter for heart failure (HF) (ICD-10 I50; ICD-9 428); (2) possible cardiac amyloidosis: the presence of clinical phenotypes suggestive of amyloidosis; and (3) a comparator HF cohort without amyloidosis. Between 2004 and 2018, 982 of the 145,329 patients with HF were identified as probable cardiac amyloidosis. During the same period, the incidence rates of probable cardiac amyloidosis increased from 1.38 to 3.69 per 100,000 person-years and the prevalence rates increased from 3.42 to 14.85 per 100,000 person-years (Ptrend < .0001). Patients with probable cardiac amyloidosis were more likely to be male, have a higher comorbidity burden, greater health care use, and poorer outcomes as compared with patients with HF without amyloidosis. A much larger group of patients was identified as possible cardiac amyloidosis (n = 46,255), with similar increase in prevalence from 2004 to 2018 (from 416 to 850 per 100,000 person-years). CONCLUSIONS: The incidence and prevalence of cardiac amyloidosis has increased over the last decade. Given the advent of new therapies for cardiac amyloidosis and considering their high cost, it is imperative to devise strategies to screen, identify, and track patients with cardiac amyloidosis from administrative databases.

Changes in ischemic stroke presentations, management and outcomes during the first year of the COVID-19 pandemic in Alberta: a population study.

BACKGROUND: Pandemics may promote hospital avoidance, and added precautions may exacerbate treatment delays for medical emergencies such as stroke. We sought to evaluate ischemic stroke presentations, management and outcomes during the first year of the COVID-19 pandemic. METHODS: We conducted a population-based study, using linked administrative and stroke registry data from Alberta to identify all patients presenting with stroke before the pandemic (Jan. 1, 2016 to Feb. 27, 2020) and in 5 periods over the first pandemic year (Feb. 28, 2020 to Mar. 31, 2021), reflecting changes in case numbers and restrictions. We evaluated changes in hospital admissions, emergency department presentations, thrombolysis, endovascular therapy, workflow times and outcomes. RESULTS: The study included 19 531 patients in the prepandemic period and 4900 patients across the 5 pandemic periods. Presentations for ischemic stroke dropped in the first pandemic wave (weekly adjusted incidence rate ratio [IRR] 0.54, 95% confidence interval [CI] 0.50 to 0.59). Population-level incidence of thrombolysis (adjusted IRR 0.50, 95% CI 0.41 to 0.62) and endovascular therapy (adjusted IRR 0.63, 95% CI 0.47 to 0.84) also decreased during the first wave, but proportions of patients presenting with stroke who received acute therapies did not decline. Rates of patients presenting with stroke did not return to prepandemic levels, even during a lull in COVID-19 cases between the first 2 waves of the pandemic, and fell further in subsequent waves. In-hospital delays in thrombolysis or endovascular therapy occurred in several pandemic periods. The likelihood of in-hospital death increased in Wave 2 (adjusted odds ratio [OR] 1.48, 95% CI 1.25 to 1.74) and Wave 3 (adjusted OR 1.46, 95% CI 1.07 to 2.00). Out-of-hospital deaths, as a proportion of stroke-related deaths, rose during 4 of 5 pandemic periods. INTERPRETATION: The first year of the COVID-19 pandemic saw persistently reduced rates of patients presenting with ischemic stroke, recurrent treatment delays and higher risk of in-hospital death in later waves. These findings support public health messaging that encourages care-seeking for medical emergencies during pandemic periods, and stroke systems should re-evaluate protocols to mitigate inefficiencies.

The risk of death or unplanned readmission after discharge from a COVID-19 hospitalization in Alberta and Ontario.

BACKGROUND: The frequency of readmissions after COVID-19 hospitalizations is uncertain, as is whether current readmission prediction equations are useful for discharge risk stratification of COVID-19 survivors or for comparing among hospitals. We sought to determine the frequency and predictors of death or unplanned readmission after a COVID-19 hospital discharge. METHODS: We conducted a retrospective cohort study of all adults (≥ 18 yr) who were discharged alive from hospital after a nonpsychiatric, nonobstetric, acute care admission for COVID-19 between Jan. 1, 2020, and Sept. 30, 2021, in Alberta and Ontario. RESULTS: Of 843 737 individuals who tested positive for SARS-CoV-2 by reverse transcription polymerase chain reaction during the study period, 46 412 (5.5%) were adults admitted to hospital within 14 days of their positive test. Of these, 8496 died in hospital and 34 846 were discharged alive (30 336 discharged after an index admission of ≤ 30 d and 4510 discharged after an admission > 30 d). One in 9 discharged patients died or were readmitted within 30 days after discharge (3173 [10.5%] of those with stay ≤ 30 d and 579 [12.8%] of those with stay > 30 d). The LACE score (length of stay, acuity, Charlson Comorbidity Index and number of emergency visits in previous 6 months) for predicting urgent readmission or death within 30 days had a c-statistic of 0.60 in Alberta and 0.61 in Ontario; inclusion of sex, discharge locale, deprivation index and teaching hospital status in the model improved the c-statistic to 0.73. INTERPRETATION: Death or readmission after discharge from a COVID-19 hospitalization is common and had a similar frequency in Alberta and Ontario. Risk stratification and interinstitutional comparisons of outcomes after hospital admission for COVID-19 should include sex, discharge locale and socioeconomic measures, in addition to the LACE variables.

Effective hospital readmission prediction models using machine-learned features.

BACKGROUND: Hospital readmissions are one of the costliest challenges facing healthcare systems, but conventional models fail to predict readmissions well. Many existing models use exclusively manually-engineered features, which are labor intensive and dataset-specific. Our objective was to develop and evaluate models to predict hospital readmissions using derived features that are automatically generated from longitudinal data using machine learning techniques. METHODS: We studied patients discharged from acute care facilities in 2015 and 2016 in Alberta, Canada, excluding those who were hospitalized to give birth or for a psychiatric condition. We used population-level linked administrative hospital data from 2011 to 2017 to train prediction models using both manually derived features and features generated automatically from observational data. The target value of interest was 30-day all-cause hospital readmissions, with the success of prediction measured using the area under the curve (AUC) statistic. RESULTS: Data from 428,669 patients (62% female, 38% male, 27% 65 years or older) were used for training and evaluating models: 24,974 (5.83%) were readmitted within 30 days of discharge for any reason. Patients were more likely to be readmitted if they utilized hospital care more, had more physician office visits, had more prescriptions, had a chronic condition, or were 65 years old or older. The LACE readmission prediction model had an AUC of 0.66 ± 0.0064 while the machine learning model's test set AUC was 0.83 ± 0.0045, based on learning a gradient boosting machine on a combination of machine-learned and manually-derived features. CONCLUSION: Applying a machine learning model to the computer-generated and manual features improved prediction accuracy over the LACE model and a model that used only manually-derived features. Our model can be used to identify high-risk patients, for whom targeted interventions may potentially prevent readmissions.

Relationship of frailty with excess mortality during the COVID-19 pandemic: a population-level study in Ontario, Canada.

BACKGROUND: There is a paucity of the literature on the relationship between frailty and excess mortality due to the COVID-19 pandemic. METHODS: The entire community-dwelling adult population of Ontario, Canada, as of January 1st, 2018, was identified using the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) cohort. Residents of long-term care facilities were excluded. Frailty was categorized through the Johns Hopkins Adjusted Clinical Groups (ACG® System) frailty indicator. Follow-up was until December 31st, 2020, with March 11th, 2020, indicating the beginning of the COVID-19 pandemic. Using multivariable Cox models with patient age as the timescale, we determined the relationship between frailty status and pandemic period on all-cause mortality. We evaluated the modifier effect of frailty using both stratified models as well as incorporating an interaction between frailty and the pandemic period. RESULTS: We identified 11,481,391 persons in our cohort, of whom 3.2% were frail based on the ACG indicator. Crude mortality increased from 0.75 to 0.87% per 100 person years from the pre- to post-pandemic period, translating to ~ 13,800 excess deaths among the community-dwelling adult population of Ontario (HR 1.11 95% CI 1.09-1.11). Frailty was associated with a statistically significant increase in all-cause mortality (HR 3.02, 95% CI 2.99-3.06). However, all-cause mortality increased similarly during the pandemic in frail (aHR 1.13, 95% CI 1.09-1.16) and non-frail (aHR 1.15, 95% CI 1.13-1.17) persons. CONCLUSION: Although frailty was associated with greater mortality, frailty did not modify the excess mortality associated with the pandemic.

Is There a Sex Gap in Surviving an Acute Coronary Syndrome or Subsequent Development of Heart Failure?

BACKGROUND: We hypothesized that disparities between sexes in the management of myocardial infarction (MI) may have changed over time, and thus altered the prognoses after MI, especially the risk for the development of heart failure. METHODS: Using a large population-based cohort of patients with MI between April 1, 2002, and March 31, 2016, we examined the incidence, angiographic findings, treatment (including revascularization), and clinical outcomes of patients with a first-time MI. To elucidate the differences between sexes, a series of multivariable models were created to explore all MI and non-ST-segment-elevation MI (NSTEMI) versus ST-segment-elevation MI (STEMI) over time. RESULTS: Between 2002 and 2016, 45 064 patients (13 878 [30.8%] women) were hospitalized with a primary diagnosis of first-time MI (54.9% NSTEMI and 45.1% STEMI). Women were older (median age, 72 versus 61 years), had more comorbidities, and had lower rates of diagnostic angiography than did men (women, 74%, versus men, 87%). When angiography was performed, women had a lower proportion of left main, 2-vessel disease with proximal left anterior descending or 3-vessel disease compared with men (33.4% versus 40.9%, P<0.0001), and a higher frequency of 1-vessel disease or nonobstructive coronary artery disease (39.6% versus 29.1%, P<0.0001). Women had a higher unadjusted rate of in-hospital mortality than did men in both patients with STEMI (women, 9.4%, versus men, 4.5%) and patients with NSTEMI (women, 4.7%, versus men, 2.9%). After adjustment, this difference remained significant in STEMI (adjusted odds ratio, 1.42 [95% CI, 1.24-1.64]) but not in NSTEMI (adjusted odds ratio, 0.97 [95% CI, 0.83-1.13]). After discharge, women developed heart failure after STEMI (women, 22.5%, versus men, 14.9%) as well as after NSTEMI (women, 23.2%, versus men, 15.7%). The adjusted relative risk for women versus men of developing the outcomes of mortality and heart failure remained similar across years, although the differences were nonsignificantly attenuated over 5 years of follow-up. CONCLUSIONS: Although some attenuation of differences in clinical outcomes over time has occurred, women remain at higher risk than men of dying or developing heart failure in the subsequent 5 years after STEMI or NSTEMI, even after accounting for differences in angiographic findings, revascularization, and other confounders.

Validity of different dose reduction criteria for apixaban.

Reduced-dose apixaban is recommended in patients fulfilling 2 of 3 criteria: age ≥80 years, body weight ≤60 kg, and serum creatinine ≥1.5 mg/dL. However, patient weight is often not available in electronic health data. We examined the validity of alternative definitions based on age and renal function alone using an observational dataset of patients with atrial fibrillation and chronic kidney disease which included weight measurements.

Is There Any Interaction Between Sex and Renal Function Change During Hospital Stay in Patients Hospitalized With Acute Heart Failure?

BACKGROUND: Renal dysfunction is a strong predictor of outcomes in patients with acute heart failure (AHF). However, less is known about how sex may influence the prognostic import of renal function in AHF. METHODS AND RESULTS: In a post hoc analysis of the ASCEND-HF trial including 5377 patients with AHF (33% female), patients were categorized into 3 groups based on the changes in renal function during their hospital stay. Worsening, stable, and improving renal functions were defined as a ≥20% decrease, a <20% change, and a ≥20% increase in the estimated glomerular filtration rate, respectively. The primary outcome was the composite of 30-day all-cause mortality or HF rehospitalization. The median baseline and discharge estimated glomerular filtration rate were 58.4 and 56.9 mL/min/1.73 m2, respectively. Worsening, stable, and improving renal function was observed in 31.9%, 63.2, and 4.9% of patients, respectively. Worsening renal function was associated with adverse outcomes at 30 days (adjusted hazard ratio [aHR] 1.47, 95% confidence interval [CI] 1.22-1.76). This association existed in both males and females (aHR 1.42 and aHR 1.56, respectively, both P < .01). There was an interaction between renal function changes and sex (P = .025), because improving renal function was associated with better outcomes in men (aHR 0.29, 95% CI 0.13-0.66) as compared with women (aHR 1.18, 95% CI 0.59-2.35). There was no interaction between the ejection fraction and renal function in association with subsequent outcomes. CONCLUSIONS: Irrespective of sex, worsening renal function was associated with poorer outcomes at 30 days in patients with AHF. More studies are warranted to further delineate the possible sex differences in this setting.

Trauma of Hospitalization Is Common in Medical Inpatients But Is Not Associated with Post-Discharge Outcomes.

BACKGROUND: Trauma of hospitalization is characterized by patient-reported disturbances in sleep, mobility, nutrition, and/or mood and one study suggested it was associated with more 30-day readmissions. OBJECTIVE: To define the trauma of hospitalization in medical inpatients and determine whether higher rates of disturbance correlate with adverse post-discharge outcomes. DESIGN: A prospective cohort study was conducted between June 2018 and August 2019 with patients reporting disturbances in sleep, mobility, nutrition, and/or mood. High trauma of hospitalization was defined as disturbance in 3 or 4 domains. PARTICIPANTS: General medicine inpatients at an academic hospital in Edmonton, Canada. MAIN MEASURES: 7-day, 30-day, and 90-day rates of death, unplanned hospital readmission, or emergency department (ED) visit. KEY RESULTS: Of 299 patients (mean age 65.9 years, 47.8% female, mean Charlson score 3.6, and mean length of stay 8.2 days), 260 (87.0%) reported disturbance in at least one domain (most commonly nutrition or mobility) during their hospitalization, 179 (59.9%) reported disturbances in multiple domains, and 87 (29.1%) met the criteria for high trauma of hospitalization. Patients who reported a high trauma of hospitalization did not differ from those reporting less hospitalization disturbances in terms of demographics, burden of comorbidities, or length of stay, but did report higher rates of pre-hospital disturbances in sleep (32.3% vs. 14.4%, p = 0.03), nutrition (77.4% vs. 54.4%, p = 0.02), and mood (41.9% vs. 13.3%, p = 0.0007). High trauma of hospitalization was not significantly associated with death, readmission, or ED visit at 7 days (12.6% vs. 11.3%, aOR 1.13 [95% CI 0.52-2.46]), 30 days (31.0% vs. 32.1%, aOR 1.03 [95% CI 0.59-1.79]), or 90 days (52.9% vs. 50.9%, aOR 1.16 [95% CI 0.69-1.94]) after discharge. CONCLUSIONS: In-hospital disturbances in sleep, mobility, nutrition, and mood are common in medical inpatients but were not associated with post-discharge outcomes.

Prior adherence to statins is a predictor of subsequent adherence and persistence to oral, but not parenteral, osteoporosis medications.

INTRODUCTION: Although bisphosphonates are effective for treating osteoporosis, patient adherence is variable. We conducted this study to determine if prior adherence with another medication used to treat chronic asymptomatic conditions predicts adherence with bisphosphonates. MATERIALS AND METHODS: Retrospective cohort study using linked population-level data for the entire Canadian province of Alberta between April 1, 2009 and March 31, 2017. We examined all new users of an oral or parenteral osteoporosis treatment over the age of 20 who had filled at least one statin prescription in the prior 12 months before the start date of the osteoporosis treatment. Adherence was defined based on medication possession ratio (MPR) and > = 80% was deemed good adherence. Persistence was defined as continuous treatment without an interruption of treatment for more than 56 days. RESULTS: Of 20,612 new users of oral bisphosphonates and 1538 new users of parenteral treatments, prior good adherence with statins was independently associated with both short term [adjusted Odds Ratio (aOR) 1.34 (95% CI 1.26-1.42) at 1 year] and long term [aOR 1.35 (1.20-1.51) at 5 years] adherence with oral bisphosphonates. However, there was no association between prior statin adherence and adherence [OR 0.94 (0.74, 1.20)] or persistence [(OR 0.96 (0.76, 1.22)] with parenteral osteoporosis therapies. Other factors associated with oral bisphosphonate adherence at 1 year included older age, history of bone mineral density scan, and history of pap smear. CONCLUSIONS: Prior adherence to statins is a predictor of subsequent short-term and long-term adherence and persistence with oral bisphosphonates but not parenteral osteoporosis therapies.