Risk Of Hospital Admission Research Articles

Effect of abnormal values of three temperature indicators on ischemic stroke hospital admissions in Guangzhou, China

Abnormal temperature has important effects on the occurrence of ischemic stroke (IS). However, relatively less efforts have been taken to systematically unravel the association between various abnormal temperature and IS hospital admission. Focusing on three temperature indicators (i.e., mean temperature, maximum temperature, and minimum temperature), this study attempts to analyse how their abnormal values affect IS hospital admission. The dataset covers the period between September 17, 2012 and August 28, 2018, and includes a total of 1464 cases who were admitted to the hospital for the first onset of IS and lived in the main urban area of Guangzhou. The study adopts the time-stratified case-crossover analysis. Abnormal values of temperature were measured using the 2.5th and 97.5th quantile values of each temperature indicator, with the former refers to a low value whereas the latter a high one. The effects of abnormal temperature on IS hospital admission were assessed through calculating the relative risks induced by the low and high values (the median values of each temperature indicators were taken as the references). The results show that the risk window periods for IS hospital admission associated with the low values of the temperature indicators are the lags of 3–7 days and 18–19 days. The risks of high temperature values on IS admission, however, are insignificant with either one-day lag or cumulative lag. As to different population groups, females show higher risks of IS hospital admission at low temperature values than males; and elderly people, compared with young people, are more vulnerable to low temperature values. To cities with similar climate of Guangzhou, particular attention should be paid to the impact of low temperature values, especially the low value of minimum temperature, on IS admission, and to females and elderly people who are more sensitive to abnormal temperatures.

Real-world effectiveness of pharmacological treatments for bipolar disorder: register-based national cohort study.

Pharmacological treatment patterns for bipolar disorder have changed during recent years, but for better or worse? To investigate the comparative real-world effectiveness of antipsychotics and mood stabilisers in bipolar disorder. Register-based cohort study including all Finnish residents aged 16-65 with a diagnosis of bipolar disorder from in-patient care, specialised out-patient care, sickness absence and disability pensions registers between 1996 and 2018, with a mean follow-up of 9.3 years (s.d. = 6.4). Antipsychotic and mood stabiliser use was modelled using the PRE2DUP method and risk for hospital admission for psychiatric and non-psychiatric reasons when using versus not using medications was estimated using within-individual Cox models. Among 60 045 individuals (56.4% female; mean age 41.7 years, s.d. = 15.8), the five medications associated with lowest risk of psychiatric admissions were olanzapine long-acting injection (LAI) (aHR = 0.54, 95% CI 0.37-0.80), haloperidol LAI (aHR = 0.62, 0.47-0.81), zuclopenthixol LAI (aHR = 0.66, 95% CI 0.52-0.85), lithium (aHR = 0.74, 95% CI 0.71-0.76) and clozapine (aHR = 0.75, 95% CI 0.64-0.87). Only ziprasidone (aHR = 1.26, 95% CI 1.07-1.49) was associated with a statistically higher risk. For non-psychiatric (somatic) admissions, only lithium (aHR = 0.77, 95% CI 0.74-0.81) and carbamazepine (aHR = 0.91, 95% CI 0.85-0.97) were associated with significantly reduced risk, whereas pregabalin, gabapentin and several oral antipsychotics, including quetiapine, were associated with an increased risk. Results for a subcohort of first-episode patients (26 395 individuals, 54.9% female; mean age 38.2 years, s.d. = 13.0) were in line with those of the total cohort. Lithium and certain LAI antipsychotics were associated with lowest risks of psychiatric admission. Lithium was the only treatment associated with decreased risk of both psychiatric and somatic admissions.

Parkrun as self-managed cardiac rehabilitation: secondary analysis of a cross-sectional survey of parkrun in the UK

ObjectivesCardiac rehabilitation following a cardiovascular disease (CVD)-related illness has been shown to reduce the risk of heart attack and hospital admission. The American College of Sports Medicine recommends 3–5 days...

Who benefits from self-management support? Results from a randomized controlled trial

BackgroundSelf-management support models adapted to accommodate the needs of each patient are complex interventions that should be evaluated for intervention mechanisms. In a national randomized controlled trial (RCT), we evaluated the efficacy of telephone-based self-management support that demonstrated improved health-related quality of life (HRQoL), no reduction in hospital admissions, and an unexpected increase in primary healthcare services. ObjectiveThe objective of this study is to identify RCT impact mechanisms and explore which participants could benefit the most from the PaHS intervention. MethodsThis study evaluates intervention mechanisms through interaction analyses of predefined intervention moderators (sex, age, education, chronic disease, risk of hospital admissions, and coping) and post-hoc intervention mediators (contacts in primary care and anxiety medication). The one co-primary outcome HRQoL was assessed with SF26v2 and analyzed with generalized linear mixed models and the other co-primary hospital admissions was analyzed with poisson regression. ResultsPaHS interacted with diabetes, multimorbidity, coping, and anxiety medication on the outcome hospital admissions. PaHS led to a significant reduction in hospital admissions in participants with diabetes or multimorbidity and an increase in hospital admissions in participants with higher baseline coping and participants using anxiety medication. The interaction analyses revealed significant intervention mediation in the outcome HRQoL by sex and diabetes. ConclusionsParticipants with diabetes, multimorbidity, and women could benefit the most from telephone-based self-management support, but the intervention involves the risk of over-treatment.

Epidemiological study of vaccination against SARS-CoV-2 and its impact on COVID-19 progression in a cohort of patients in gran Canaria

ObjectivesWe analyzed the impact of age, sex, vaccination against COVID-19, immunosuppressive treatment, and comorbidities on patients' risk of requiring hospital admission or of death. MethodsPopulation-based observational retrospective study conducted on a cohort of 19,850 patients aged 12 years or more, who were diagnosed with COVID-19 between June 1st and December 31st, 2021, in the island of Gran Canaria. ResultsHypertension (18.5%), asthma (12.8%) and diabetes (7.2%) were the most frequent comorbidities; 147 patients died (0.7%). The combination of advanced age, male sex, cancer, coronary heart disease, immunosuppressive treatment, hospital admission, admission to the intensive care unit, mechanical ventilation and lack of complete COVID-19 vaccination or booster dose was strongly predictive of mortality (p < 0.05); 831 patients required hospital admission and it was more frequent in men, older age groups, and patients with cancer, diabetes, arterial hypertension, chronic obstructive pulmonary disease, congestive heart failure or immunosuppressive treatment. The COVID-19 vaccine booster dose was associated with a lower risk of death ([OR] 0.11, 95% CI 0.06–0.21, p < 0.05) or hospital admission ([OR] 0.36, 95% CI 0.29–0.46, p < 0.05). ConclusionsCancer, coronary heart disease, and immunosuppressive treatment were associated with increased COVID-19 mortality. More complete vaccination was associated with lower risk of hospital admission or death. Three doses of the SARS-CoV-2 vaccine were highly associated with the prevention of death and hospital admission in all age groups. These findings suggest that COVID-19 vaccination can help bring the pandemic under control.

Association of ambient particulate matter with hospital admissions, length of hospital stay, and hospital costs due to cardiovascular disease: time-series analysis based on data from the Shanghai Medical Insurance System from 2016 to 2019

BackgroundThere is limited evidence supporting a relationship of ambient particulate matter (PM), especially PM1, with hospital admissions, hospital costs, and length of hospital stay (LOS) due to cardiovascular disease (CVD). We used a generalized additive model (GAM) to estimate the associations of these indicators due to CVD for each 10 μg/m3 increase in the level of PM1, PM2.5, and PM10, and the attributable risk caused by PM on CVD was determined using the WHO air quality guidelines from 2005 and 2021.ResultsFor each 10 μg/m3 increase in the level of each PM and for a 0-day lag time, there were significant increases in daily hospital admissions for CVD (PM1: 1.006% [95% CI 0.859, 1.153]; PM2.5: 0.454% [95% CI 0.377, 0.530]; PM10: 0.263% [95% CI 0.206, 0.320]) and greater daily hospital costs for CVD (PM1: 523.135 thousand CNY [95% CI 253.111, 793.158]; PM2.5: 247.051 thousand CNY [95% CI 106.766, 387.336]; PM10: 141.284 thousand CNY [95% CI 36.195, 246.373]). There were no significant associations between PM and daily LOS. Stratified analyses demonstrated stronger effects in young people and males for daily hospital admissions, and stronger effects in the elderly and males for daily hospital costs. Daily hospital admissions increased linearly with PM concentration up to about 30 µg/m3 (PM1), 60 µg/m3 (PM2.5), and 90 µg/m3 (PM10), with slower increases at higher concentrations. Daily hospital costs had an approximately linear increase with PM concentration at all tested concentrations. In general, hospital admissions, hospital costs, and LOS due to CVD were greater for PM2.5 than PM10, and the more stringent 2021 WHO guidelines indicated greater admissions, costs, and LOS due to CVD.ConclusionsShort-term elevation of PM of different sizes was associated with an increased risk of hospital admissions and hospital costs due to CVD. The relationship with hospital admissions was strongest for men and young individuals, and the relationship with hospital costs was strongest for men and the elderly. Smaller PM is associated with greater risk.

Exposure to ambient air pollutants and short-term risk for exacerbations of allergic rhinitis: A time-stratified, case-crossover study in the three largest urban agglomerations in Poland

Allergic rhinitis (AR) affects 10 % of the world population, with an increased prevalence in regions with substantial air pollution, but the association between exposure to air pollutants and the short-term risk of AR exacerbations is unclear. We used a time-series approach to analyze the risk of hospital admissions due to AR over 8 days from exposure to various air pollutants. Distributed lag nonlinear models were used to analyze data gathered between 2012 and 2018 in the three largest urban agglomerations in Poland. The analyses were carried out separately for the warm (April – September) and cold seasons (October – March). Overall, there were 1407 admissions due to AR. In the warm season, the rate ratio (95 % confidence interval) for admission per 10 µg/m3 was 1.202 (1.044, 1.384) for particulate matter less than 10 µm (PM10); 1.094 (0.896, 1.335) for particulate matter less than 2.5 µm (PM2.5); 0.946 (0.826, 1.085) for nitrogen dioxide (NO2); 0.837 (0.418, 1.677) for sulfur dioxide (SO2); and 1.112 (1.011, 1.224) for ozone (O3). In the cold season, the rate ratio for admission per 10 µg/m3 was 1.035 (0.985, 1.088) for PM10; 1.041 (0.977, 1.108) for PM2.5; 1.252 (1.122, 1.398) for NO2; 0.921 (0.717, 1.181) for SO2; and 1.030 (1.011, 1.050) for O3. In conclusion, the risk of admission due to AR increased significantly after exposure to O3 in the warm and cold seasons. Exposure to PM10 was associated with a significantly increased risk of AR hospitalizations in the warm season only, whereas exposure to NO2 was associated with a significantly increased risk of AR admission in the cold season.

Risk prediction of covid-19 related death or hospital admission in adults testing positive for SARS-CoV-2 infection during the omicron wave in England (QCOVID4): cohort study

ObjectivesTo derive and validate risk prediction algorithms (QCOVID4) to estimate the risk of covid-19 related death and hospital admission in people with a positive SARS-CoV-2 test result during the period...

Outpatient screening with the Royal Free Hospital-Nutrition Prioritizing Tool for patients with cirrhosis at risk of malnutrition

ObjectivesMalnutrition is common among inpatients with cirrhosis. However, data on the prevalence of malnutrition among stable ambulatory patients with cirrhosis is lacking. We sought to investigate the prevalence of patents at risk of malnutrition (ARMN) among ambulatory patients with cirrhosis using the Royal Free Hospital-Nutrition Prioritizing Tool (RFH-NPT) and the Malnutrition Universal Screening Tool (MUST) and compare their correlation to clinical outcomes. MethodsPatients attending an outpatient liver cirrhosis clinic at a tertiary hospital were screened for ARMN using both the RFH-NPT and MUST (defined by a score of ≥2 for either tool). Differences in clinical outcomes after 6 mo were compared. ResultsThere were 134 patients recruited. The RFH-NPT identified more ARMN patients compared with MUST (32.8% versus 8.2%; P < 0.01; Cohen κ, 0.27 [95% CI, 0.12-0.42]; P < 0.001). Fluid overload at recruitment was the only independent predictor of disagreement between the RFH-NPT and MUST (odds ratio [OR], 43.14; 95% CI, 8.70-214.00; P < 0.001). There was a trend toward an increased risk of mortality for ARMN patients by the RFH-NPT (hazard ratio, 3.58; 95% CI, 0.81-15.83; P = 0.06) but not by the MUST (P = 0.62). The incidence of hospital admissions in ARMN patients was higher by the RFH-NPT, with an incidence rate ratio of 13.27 (95% CI, 5.11-43.70; P < 0.001), but not in ARMN patients by the MUST (P = 0.85). Being ARMN by the RFH-NPT was the only independent predictor of hospital admissions (OR, 15.08; 95% CI, 2.47-91.98; P = 0.003). ConclusionsThe RFH-NPT identified more ARMN patients when compared with the MUST, especially among patients with fluid overload. Patients at risk of malnutrition were at an increased risk of hospital admissions and possibly death.

Incidence of sports-related sternoclavicular joint dislocations in the United States over the last two decades.

Epidemiological understanding of acute sternoclavicular (SC) dislocations secondary to sports across the United States is poorly defined. To identify and assess epidemiological trends of SC dislocations occurring secondary to sports-related mechanisms across United States over the past two decades. This cross-sectional, descriptive epidemiological study evaluates epidemiological trends of SC dislocations from sports that present to emergency departments (EDs) across the United States. Data were obtained from the National Electronic Injury Surveillance System database spanning two decades. Data on incidence, patient demographics, mechanisms of injury, dislocation types, incident locales, and patient dispositions were collected. 1622 SC dislocations occurred nationwide from 2001 to 2020 [incidence = 0.262/1000000 people, confidence interval (CI) = 0.250-0.275], comprising 0.1% of shoulder/upper trunk dislocations. Most patients were male (91%, n = 1480) and aged 5-17 (61%, n = 982). Football, wrestling, and biking were the most frequently implicated sports, with contact sports responsible for 59% of athletic injuries (n = 961). Recreational vehicle-related sports injuries, such as all-terrain vehicles, dirt bikes, and mopeds accounted for 7.8% of all injuries (n = 126), with dirt bikes specifically comprising 3.7% (n = 61). Ultimately, 82% were discharged from the ED (n = 1337), 12% were admitted (n = 194), and 6% were transferred (n = 90). All recorded posterior dislocations were admitted or transferred from the ED. Patients sustaining SC dislocations from contact sports had a significantly increased risk of hospital admission or transfer rather than discharge from the ED as compared to patients whose injuries were from non-contact sports (incidence rate ratio = 1.46, CI: = 1.32-1.61, P < 0.001). SC dislocations from sports continue to be rare with a stably low incidence over the past two decades, likely comprising a smaller proportion of shoulder dislocations than previously thought. Contact sports are a frequent source of injury, especially among school-aged and teenage males. Most patients are discharged directly from the ED; however, a substantial number are hospitalized, many of which had documented posterior dislocations. Ultimately, understanding the epidemiology and mechanism-related trends of acute SC dislocations is important given the potential severity of these injuries, concentration in a specific population, and uncertainty linked to rare presentation.

Effects of COVID-19 vaccination and previous SARS-CoV-2 infection on omicron infection and severe outcomes in children under 12 years of age in the USA: an observational cohort study

Data on the protection conferred by COVID-19 vaccination and previous SARS-CoV-2 infection against omicron (B.1.1.529) infection in young children are scarce. We aimed to estimate the time-varying effects of primary and booster COVID-19 vaccination and previous SARS-CoV-2 infection on subsequent omicron infection and severe illness (hospital admission or death) in children younger than 12 years of age. In this observational cohort study, we obtained individual-level records on vaccination with the BNT162b2 and mRNA-1273 vaccines and clinical outcomes from the North Carolina COVID-19 Surveillance System and the COVID-19 Vaccine Management System for 1 368 721 North Carolina residents aged 11 years or younger from Oct 29, 2021 (Oct 29, 2021 for children aged 5-11 years and June 17, 2022 for children aged 0-4 years), to Jan 6, 2023. We used Cox regression to estimate the time-varying effects of primary and booster vaccination and previous infection on the risks of omicron infection, hospital admission, and death. For children 5-11 years of age, the effectiveness of primary vaccination against infection, compared with being unvaccinated, was 59·9% (95% CI 58·5-61·2) at 1 month, 33·7% (32·6-34·8) at 4 months, and 14·9% (95% CI 12·3-17·5) at 10 months after the first dose. Compared with primary vaccination only, the effectiveness of a monovalent booster dose after 1 month was 24·4% (14·4-33·2) and that of a bivalent booster dose was 76·7% (45·7-90·0). The effectiveness of omicron infection against reinfection was 79·9% (78·8-80·9) after 3 months and 53·9% (52·3-55·5) after 6 months. For children 0-4 years of age, the effectiveness of primary vaccination against infection, compared with being unvaccinated, was 63·8% (57·0-69·5) at 2 months and 58·1% (48·3-66·1) at 5 months after the first dose, and the effectiveness of omicron infection against reinfection was 77·3% (75·9-78·6) after 3 months and 64·7% (63·3-66·1) after 6 months. For both age groups, vaccination and previous infection had better effectiveness against severe illness as measured by hospital admission or death as a composite endpoint than against infection. The BNT162b2 and mRNA-1273 vaccines were effective against omicron infection and severe outcomes in children younger than 12 years, although the effectiveness decreased over time. Bivalent boosters were more effective than monovalent boosters. Immunity acquired via omicron infection was high and waned gradually over time. These findings can be used to develop effective prevention strategies against COVID-19 in children younger than 12 years. US National Institutes of Health.

Expanding the Role of Continuous Glucose Monitoring in Modern Diabetes Care Beyond Type1 Disease.

Application of continuous glucose monitoring (CGM) has moved diabetes care from a reactive to a proactive process, in which a person with diabetes can prevent episodes of hypoglycemia or hyperglycemia, rather than taking action only once low and high glucose are detected. Consequently, CGM devices are now seen as the standard of care for people with type1 diabetes mellitus (T1DM). Evidence now supports the use of CGM in people with type2 diabetes mellitus (T2DM) on any treatment regimen, not just for those on insulin therapy. Expanding the application of CGM to include all people with T1DM or T2DM can support effective intensification of therapies to reduce glucose exposure and lower the risk of complications and hospital admissions, which are associated with high healthcare costs. All of this can be achieved while minimizing the risk of hypoglycemia and improving quality of life for people with diabetes. Wider application of CGM can also bring considerable benefits for women with diabetes during pregnancy and their children, as well as providing support for acute care of hospital inpatients who experience the adverse effects of hyperglycemia following admission and surgical procedures, as a consequence of treatment-related insulin resistance or reduced insulin secretion. By tailoring the application of CGM for daily or intermittent use, depending on the patient profile and their needs, one can ensure the cost-effectiveness of CGM in each setting. In this article we discuss the evidence-based benefits of expanding the use of CGM technology to include all people with diabetes, along with a diverse population of people with non-diabetic glycemic dysregulation.

#2608 IV IRON IN CKD AND HF: IMPROVING CLINICAL OUTCOMES WITH HIGH-DOSE IV IRON IN PATIENTS WITH IRON DEFICIENCY, HEART FAILURE AND CKD

Abstract Background and Aims The emerging role of IV iron to reduce cardiovascular risk, particularly risk of hospitalisation for heart failure. Cardiovascular diseases are a common comorbidity in patients with chronic kidney disease. There is emerging evidence that treating with IV iron may not only correct for iron deficiency and anaemia but also have positive effect on hard clinical endpoints. Method The most recent RCT trial published is the IRONMAN trial, which was a prospective, randomised, open-label, blinded-endpoint trial done at 70 hospitals in the UK. 1137 patients with heart failure, a reduced left ventricular ejection fraction and iron deficiency were randomised to receive either ferric derisomaltose (FDI) on top of usual care or usual care alone. A large proportion of the patients (64%) had an eGFR &amp;lt; 60 mL/min/1.73 m2. Results Compared to usual care, FDI was associated with a 18% lower risk of recurrent heart failure hospitalisations and CV death, which approached statistical significance (p = 0.07). In the prespecified COVID-19 sensitivity analysis, the primary endpoint was nominally statistically significant with a relative risk reduction of 24% (p = 0.047). Between Aug 25, 2016, and Oct 15, 2021, 1869 patients were screened for eligibility, of whom 1137 were randomly assigned to receive intravenous ferric derisomaltose (n = 569) or usual care (n = 568). Median follow-up was 2·7 years (IQR 1·8–3·6). 336 primary endpoints (22·4 per 100 patient-years) occurred in the ferric derisomaltose group and 411 (27·5 per 100 patient-years) occurred in the usual care group (rate ratio [RR] 0·82 [95% CI 0·66 to 1·02]; p = 0·070). In the COVID-19 analysis, 210 primary endpoints (22·3 per 100 patient-years) occurred in the ferric derisomaltose group compared with 280 (29·3 per 100 patient-years) in the usual care group (RR 0·76 [95% CI 0·58 to 1·00]; p = 0·047). No between-group differences in deaths or hospitalisations due to infections were observed. Fewer patients in the ferric derisomaltose group had cardiac serious adverse events (200 [36%]) than in the usual care group (243 [43%]; difference –7·00% [95% CI –12·69 to –1·32]; p = 0·016). Conclusion For a broad range of patients with heart failure, reduced left ventricular ejection fraction and iron deficiency, intravenous ferric derisomaltose administration was associated with a lower risk of hospital admissions for heart failure and cardiovascular death, further supporting the benefit of iron repletion in this population.

Effect of an oncology care management program on unplanned hospital admissions in a commercially insured population.

1547 Background: Despite advances in cancer outcomes, costs of cancer care continue to rise. Acute care utilization contributes significantly to these costs. The Cancer Support Program’s (CSP) care management services focus on providing education on symptom management, palliative care and advance care planning, addressing psychosocial needs and closing gaps in care in members with cancer who are at high risk for unplanned hospital admissions (UHA). Methods: Beginning 1/1/22, commercially insured members with an active cancer diagnosis were clinically stratified as high or low risk for UHA. All high-risk members were invited to participate in the CSP program. Individuals who agreed to participate received individualized telephonic care management support. Medical claims from 1/1/22 through 9/30/22 were evaluated, and rates of UHA were compared between participants and non-participants within the identified high-risk population for an average period of 4 months after identification (the period equivalent to the average enrollment period of participants). Results: The study population included 3,113 members who stratified as high risk. Of those, 36% were enrolled in the program. Reasons for non-enrollment include inability to reach (72%), member refused (27%) and bad contact information (1%). There were no statistically significant differences between the two groups’ demographic composition except for age (the enrolled group had slightly more in the 51-64 age group [63% vs. 59%; p &lt; 0.001] and slightly fewer in the &gt; 65 age group (9% vs. 15%; p &lt; 0.001]). There were 358 UHA in the participating group and 737 UHA in the non-participating group. When normalized, there were 1,179 UHA per thousand members per year (PTMPY), 99% CI [1,171 UHA, 1,184 UHA] (bootstrap) in the participating group and 1,526 UHA PTMPY, 99% CI [1,523 UHA, 1,535 UHA] (bootstrap) in the non-participating group. Conclusions: Early results show lower UHA rates for members who participated in the care management program, suggesting the program is effective in reducing acute care utilization within the high-risk population. Limitations of this study include potential enrollment bias, changes in risk status from clinical or social factors, and the potential for human error or inconsistency in the risk stratification process. Further study is underway to validate these results.

A remote care model for patients at high risk of hospital admission due to COVID-19 deterioration: who makes it at home? – a multicenter follow-up case from Slovenia

A remote care model for patients at high risk of hospital admission due to COVID-19 deterioration: who makes it at home? – a multicenter follow-up case from Slovenia

The Scorching Truth: Investigating the Impact of Heatwaves on Selangor's Elderly Hospitalisations.

Global climate change has contributed to the intensity, frequency, and duration of heatwave events. The association between heatwaves and elderly mortality is highly researched in developed countries. In contrast, heatwave impact on hospital admissions has been insufficiently studied worldwide due to data availability and sensitivity. In our opinion, the relationship between heatwaves and hospital admissions is worthwhile to explore as it could have a profound impact on healthcare systems. Therefore, we aimed to investigate the associations between heatwaves and hospitalisations for the elderly by age group in Selangor, Malaysia, from 2010 to 2020. We further explored the impact of heatwaves on the risks of cause-specific hospital admissions across age groups within the elderly. This study applied generalized additive models (GAMs) with the Poisson family and distributed lag models (DLMs) to estimate the effect of heatwaves on hospitalisations. According to the findings, there was no significant increase in hospitalisations for those aged 60 and older during heatwaves; however, a rise in mean apparent temperature (ATmean) by 1 °C significantly increased the risk of hospital admission by 12.9%. Heatwaves had no immediate effects on hospital admissions among elderly patients, but significant delay effects were identified for ATmean with a lag of 0-3 days. The hospital admission rates of the elderly groups started declining after a 5-day average following the heatwave event. Females were found to be relatively more vulnerable than males during heatwave periods. Consequently, these results can provide a reference to improve public health strategies to target elderly people who are at the greatest risk of hospitalisations due to heatwaves. Development of early heatwave and health warning systems for the elderly would assist with preventing and reducing health risks while also minimising the burden on the whole hospital system in Selangor, Malaysia.

Efficacy of pulmonary artery pressure monitoring in patients with chronic heart failure: a meta-analysis of three randomized controlled trials.

Adjustment of treatment based on remote monitoring of pulmonary artery (PA) pressure may reduce the risk of hospital admission for heart failure (HF). We have conducted a meta-analysis of large randomized trials investigating this question. A systematic literature search was performed for randomized clinical trials with PA pressure monitoring devices in patients with HF. The primary outcome of interest was the total number of HF hospitalizations. Other outcomes assessed were urgent visits leading to treatment with intravenous diuretics, all-cause mortality, and composites. Treatment effects are expressed as hazard ratios, and pooled effect estimates were obtained applying random effects meta-analyses. Three eligible randomized clinical trials were identified that included 1898 outpatients in New York Heart Association functional classes II-IV, either hospitalized for HF in the prior 12 months or with elevated plasma NT-proBNP concentrations. The mean follow-up was 14.7 months, 67.8% of the patients were men, and 65.8% had an ejection fraction ≤40%. Compared to patients in the control group, the hazard ratio (95% confidence interval) for total HF hospitalizations in those randomized to PA pressure monitoring was 0.70 (0.58-0.86) (P = .0005). The corresponding hazard ratio for the composite of total HF hospitalizations, urgent visits and all-cause mortality was 0.75 (0.61-0.91; P = .0037) and for all-cause mortality 0.92 (0.73-1.16). Subgroup analyses, including ejection fraction phenotype, revealed no evidence of heterogeneity in the treatment effect. The use of remote PA pressure monitoring to guide treatment of patients with HF reduces episodes of worsening HF and subsequent hospitalizations.

Preconception and perinatal hospitalizations as indicators of risk for severe maternal morbidity in primiparas

Severe maternal morbidity includes unexpected outcomes of labor and delivery that result in significant short- or long-term consequences to a woman's health. A statewide longitudinally linked database was used to examine hospitalization during and before pregnancy for birthing people with severe maternal morbidity at delivery. This study aimed to examine the association between hospital visits during pregnancy and 1 to 5 years before pregnancy and severe maternal morbidity at delivery. This study was a retrospective, population-based cohort analysis of the Massachusetts Pregnancy to Early Life Longitudinal database between January 1, 2004, and December 31, 2018. Nonbirth hospital visits, including emergency department visits, observational stays, and hospital admissions during pregnancy and 5 years before pregnancy, were identified. The diagnoses for hospitalizations were categorized. We compared medical conditions leading to antecedent, nonbirth hospital visits among primiparous birthing individuals with singleton births with and without severe maternal morbidity, excluding transfusions. Of 235,398 birthing individuals, 2120 had severe maternal morbidity, a rate of 90.1 cases per 10,000 deliveries, and 233,278 did not have severe maternal morbidity. Compared with 4.3% of patients without severe maternal morbidity, 10.4% of patients with severe maternal morbidity were hospitalized during pregnancy. In multivariable analysis, there was a 31% increased risk of hospital admission during the prenatal period, a 60% increased risk of hospital admission in the year before pregnancy, and a 41% increased risk of hospital admission in 2 to 5 years before pregnancy. Compared with 9.8% of non-Hispanic White birthing people, 14.9% of non-Hispanic Black birthing people with severe maternal morbidity experienced a hospital admission during pregnancy. For those with severe maternal morbidity, prenatal hospitalization was most common for those with endocrine (3.6%) or hematologic (3.3%) conditions, with the largest differences between those with and without severe maternal morbidity for musculoskeletal (relative risk, 9.82; 95% confidence interval, 7.06-13.64) and cardiovascular (relative risk, 9.73; 95% confidence interval, 7.26-13.03) conditions. This study found a strong association between previous nonbirth hospitalizations and the likelihood of severe maternal morbidity at delivery.

Does misclassification of former tobacco smokers explain the 'smoker's paradox' in the risk of COVID-19? Insights from the Stockholm Public Health Cohort.

The association between tobacco smoking and the risk of COVID-19 and its adverse outcomes is controversial, as studies reported contrasting findings. Bias due to misclassification of the exposure in the analyses of current versus non-current smoking could be a possible explanation because former smokers may have higher background risks of the disease due to co-morbidity. The aim of the study was to investigate the extent of this potential bias by separating non-, former, and current smokers when assessing the risk or prognosis of diseases. We analysed data from 43,400 participants in the Stockholm Public Health Cohort, Sweden, with information on smoking obtained prior to the pandemic. We estimated the risk of COVID-19, hospital admissions and death for (a) former and current smokers relative to non-smokers, (b) current smokers relative to non-current smokers, that is, including former smokers; adjusting for potential confounders (aRR). The aRR of a COVID-19 diagnosis was elevated for former smokers compared with non-smokers (1.07; 95% confidence interval (CI) =1.00-1.15); including hospital admission with any COVID-19 diagnosis (aRR= 1.23; 95% CI = 1.03-1.48); or with COVID-19 as the main diagnosis (aRR=1.23, 95% CI= 1.01-1.49); and death within 30 days with COVID-19 as the main or a contributory cause (aRR=1.40; 95% CI=1.00-1.95). Current smoking was negatively associated with risk of COVID-19 (aRR=0.79; 95% CI=0.68-0.91). Separating non-smokers from former smokers when assessing the disease risk or prognosis is essential to avoid bias. However, the negative association between current smoking and the risk of COVID-19 could not be entirely explained by misclassification.

Increased frequency of hospital admissions with active systemic lupus erythematosus disease activity defined by two different disease activity indices: A cohort study.

The objective of this cohort study was to evaluate the association between the frequency of hospital admissions and disease activity, as defined by two different disease activity measurements: the Systemic Lupus Erythematosus Disease Activity Score (SLE-DAS) and the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K), in adult patients with systemic lupus erythematosus (SLEs). Patients with SLE were recruited from the rheumatology outpatient department of a regional hospital in southern Taiwan. SLE-DAS and SLEDAI-2K were used to define SLE disease activity and the cause of hospital admissions was identified by a rheumatologist based on medical records. A generalized linear model (GLM) with gamma distribution and log-linked function was used to analyze variables associated with the frequency of admission. The mean frequency of hospitalization was 0.34 times per year for all-cause and 0.21 times per year for SLE-related admission. Multivariate GLM analysis showed that moderate/severe SLE disease activity defined by SLE-DAS was associated with an increased frequency of all-cause and SLE-related hospital admissions while adjusting for other covariates. Moderate/severe SLE disease activity defined by SLEDAI-2K was only significantly associated with an increased frequency of all-cause hospitalization. When steroid dosage was included in the model, moderate/severe SLE disease activity defined by the SLE-DAS remained significantly associated with SLE-related hospital admissions (p = 0.032). In conclusion, disease activity defined by the SLE-DAS, but not SLEDAI-2K was associated with an increased frequency of SLE-related hospitalization. Steroid dosage, a lower educational level, and smoking were associated with an increased frequency of hospital admissions, whereas underweight and alcohol use were associated with a decreased frequency of hospital admissions. Rheumatologists should promptly control SLE disease activity of their patients, provide them with adequate health education, and maintain steroid doses to as low as possible to reduce the risk of hospital admissions.