Role of Dietary Patterns in the Progression and Management of Heart Failure in Pakistani Patients: A Multicenter Study.

BACKGROUND: Heart failure (HF) is a chronic condition with increasing prevalence in Pakistan due to common cardiovascular risk factors. Dietary interventions are known to influence HF outcomes, but data specific to Pakistani patients are limited. OBJECTIVE: This study aimed to evaluate the impact of dietary patterns on HF progression and management in Pakistani patients, alongside the effects on quality of life and biochemical markers. METHODS: A prospective cohort study was conducted across four medical centers in Pakistan, enrolling 170 HF patients. Dietary patterns were assessed using a validated Food Frequency Questionnaire (FFQ) tailored to the South Asian population. The primary outcomes measured were changes in the ejection fraction, New York Heart Association (NYHA) class, and hospitalization rates. Secondary outcomes included changes in quality of life and biochemical markers. Multivariate logistic regression was used to adjust for confounding variables, and Bonferroni corrections were applied to account for multiple comparisons. RESULTS: Adherence to a heart-healthy diet significantly improved the ejection fraction (from 35% to 38%, p = 0.04), reduced hospitalization rates (22%, p = 0.03), and improved NYHA class (45%, p = 0.05). Subgroup analysis showed a 10% reduction in mortality among patients over the age of 65 (p = 0.01) and 18% in diabetic patients (p = 0.02). CONCLUSION: Dietary interventions play a critical role in HF management among Pakistani patients. Culturally tailored dietary guidelines should be integrated into clinical practice to improve patient outcomes.

Rotavirus Infections: A 2-Year Comprehensive Review in Admitted Pediastric Patients Amid Conflicting National Policies.

Highlighting rotavirus (RV) as a significant food and waterborne pathogen, particularly affecting infants and children, causing serious gastrointestinal infections and dehydration, is important. It should be noted that there are significant debates regarding the effectiveness and outcomes of RV vaccination. In contrast to Turkey's nonmandatory vaccination policy, many developed countries implement mandatory vaccination policies, raising questions about their impact on disease prevalence and healthcare expenditures. Our study aims to comprehensively understand RV infections in Turkey and compare them with countries that have mandatory vaccination policies. We found similar, and even better, hospitalization rates, length of hospital stays, and laboratory parameters demonstrating the effectiveness of Turkey's independent vaccination approach. These findings contribute valuable insights to global vaccination strategies and disease control.

Chronic Pancreatitis in a Large Developing Country: Temporal Trends of Over 64,000 Hospitalizations from 2009 to 2019.

BACKGROUND/OBJECTIVES: Chronic pancreatitis (CP) is a progressive inflammatory disorder associated with marked morbidity and mortality and frequently requires hospitalization. This study aimed to investigate the time trends and geographical distribution of hospital admissions, the lethality rate of CP across Brazil, and the potential relationship with social indicators and associated risk factors. METHODS: Data were retrospectively obtained from the Brazilian Public Health System Registry between January 2009 and December 2019. The prevalence and lethality rates of CP per 100,000 inhabitants in each municipality were estimated from hospitalizations to in-hospital deaths and classified by age, sex, and demographic features. RESULTS: During the study period, 64,609 admissions were retrieved, and most of the patients were males (63.54%). Hospitalization decreased by nearly half (-54.68%) in both sexes. CP rates in males were higher in all age groups. The greatest reduction in admissions (- 64%) was also noted in patients ≥ 70y. CP In-hospital lethality remained stable (5-6%) and similar for males and females. Patients ≥ 70y showed the highest lethality. The greatest increase in CP lethality rates (+ 10%) was observed in municipalities integrated into metropolises, which was mainly driven by small-sized municipalities (+ 124%). CONCLUSIONS: CP hospitalizations decrease in both urban and rural areas, particularly in the North, Northeast, and Central-West regions, and in those above 70 years of age, but are not correlated with lethality rates in the South. This suggests ongoing changes in the environmental and socioeconomic factors in Brazil.

Lifestyle Coaching May Be an Effective Treatment for Schizophrenia.

This commentary critiques the Danish CHANGE trial, which evaluated 3 levels of outpatient intervention intensity, in a group of outpatients with obesity and schizophrenia. Neither adding care coordination with weekly nurse contacts alone nor combining this treatment with assertive community lifestyle coaching as compared to treatment as usual improved outcomes, which included cardiovascular disease risk calculation, cardiorespiratory fitness, weight, and self-reported behaviors such as smoking, physical activity, and diet. The CHANGE trial investigators appear strongly averse to recommending the development and implementation of lifestyle medicine programs as a major component when treating outpatients with severe mental disorders. The potential dismissal of lifestyle medicine as a component of treatment for severe mental disorders is problematic. Valuable lessons can be learned from more thoroughly analyzing secondary outcomes such as medical and psychiatric hospitalization rates and total health care cost. The CHANGE trial data analysis needs to be expanded beyond the focus on changes in weight and serum cholesterol. Insulin resistance and high refined carbohydrate intake may be major factors in determining both the medical and psychiatric clinical course of schizophrenia. Assertive community lifestyle coaching is a novel treatment modality. Evidence strongly suggests assertive community lifestyle coaching substantially decreases both psychiatric and medical hospitalization rates.

Social determinants of health disparities in Staten Island compared with Manhattan, Queens, Brooklyn, and the Bronx: Contribution to COVID-19 outcomes.

INTRODUCTION: Social determinants of health (SDH) negatively affected Coronavirus disease-2019 (COVID-19) outcomes within the five boroughs of New York City. The goal of this study was to determine whether differences in social demographics within the borough of Staten Island, compared with the other four boroughs, may have contributed to poor COVID-19 outcomes in Staten Island. METHODS: Data were obtained from public data sources. Social demographics obtained included age, household income, poverty status, and education level. COVID-19 infection, hospitalization, and death rates reported from Staten Island were compared with rates from Manhattan, Queens, Brooklyn, and the Bronx (February 29, 2020-October 31, 2022). Mean differences in case rates of COVID-19 were higher in Staten Island compared to all four boroughs. RESULTS: Mean differences in hospitalization and death rates were higher than Manhattan but similar to the other four boroughs. Within Staten Island, case rates were highest in zip codes 10306 and 10309. Hospitalization and death rates were highest in Staten Island zip code 10304. We found that the zip codes of Staten Island with poorer COVID-19 outcomes had more individuals with less than a high school degree, lower mean household income, higher proportion of households earning less than $25,000 a year, and a greater proportion of individuals using public transportation. CONCLUSION: Differences in COVID-19 infection, hospitalization, and death rates exist between the five boroughs and between the 12 zip codes within Staten Island. These differences in COVID-19 outcomes can be attributed to different SDH.

Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks.

Global efforts in vaccination have led to a decrease in COVID-19 mortality but a high circulation of SARS-CoV-2 is still observed in several countries, resulting in some cases of severe lockdowns. In this sense, wastewater-based epidemiology remains a powerful tool for supporting regional health administrations in assessing risk levels and acting accordingly. In this work, a dynamic artificial neural network (DANN) has been developed for predicting the number of COVID-19 hospitalized patients in hospitals in Valladolid (Spain). This model takes as inputs a wastewater epidemiology indicator for COVID-19 (concentration of RNA from SARS-CoV-2 N1 gene reported from Valladolid Wastewater Treatment Plant), vaccination coverage, and past data of hospitalizations. The model considered both the instantaneous values of these variables and their historical evolution. Two study periods were selected (from May 2021 until September 2022 and from September 2022 to July 2023). During the first period, accurate predictions of hospitalizations (with an overall range between 6 and 171) were favored by the correlation of this indicator with N1 concentrations in wastewater (r = 0.43, p < 0.05), showing accurate forecasting for 1 day ahead and 5 days ahead. The second period's retraining strategy maintained the overall accuracy of the model despite lower hospitalizations. Furthermore, risk levels were assigned to each 1 day ahead prediction during the first and second periods, showing agreement with the level measured and reported by regional health authorities in 95 % and 93 % of cases, respectively. These results evidenced the potential of this novel DANN model for predicting COVID-19 hospitalizations based on SARS-CoV-2 wastewater concentrations at a regional scale. The model architecture herein developed can support regional health authorities in COVID-19 risk management based on wastewater-based epidemiology.

Inpatient healthcare utilization among people with disabilities in Iran: determinants and inequality patterns.

BACKGROUND: People with disabilities (PWD) have different health service needs and different factors affect the utilization of these services. Therefore, the aim of this present study was to identify determinants of inpatient healthcare utilization among PWDs in Iran. METHODS: This research was a secondary data analysis of a cross-sectional study. The present study used data gathered for 766 PWDs (aged 18 years and older) within the Iranian Society with Disabilities (ISD) between September and December 2020. Multiple logistic regression models calculated adjusted odds ratios (aOR) and 95% confidence intervals in order to identify determinants of inpatient healthcare utilization among PWDs. RESULTS: Data for 766 people with disabilities were analyzed. A large number of participants were over 28 years of age (70.94%), male (64.36%), and single (54.02%). In the present study, more than 71% of participants had no history of hospitalization during the last year. In this study, males [aOR 2.11(1.14-3.91), participants with Civil Servants health insurance coverage [aOR 3.44 (1.16 - 10.17)] and individuals in the 3th quartile of disability severity [aOR 2.13 (1.01 - 4.51)] had greater odds of inpatient healthcare utilization compared to the other groups. The value of the concentration index (C) for inpatient healthcare utilization was - 0.084 (P.value = 0.046). The decomposition analysis indicated that gender was the greatest contributor (21.92%) to the observed inequality in inpatient healthcare utilization among participants. CONCLUSION: Our findings suggested that the likelihood of hospitalization among the study participants could be significantly influenced by factors such as gender, the health insurance scheme, and the degree of disability severity. These results underscore the imperative for enhanced access to outpatient services, affordable insurance coverage, and reduced healthcare expenditures for this vulnerable population. Addressing these issues has the potential to mitigate the burden of hospitalization and promote better health outcomes for disadvantaged individuals.

Artificial intelligence and remote patient monitoring in US healthcare market: a literature review.

BACKGROUND: Artificial intelligence (AI) enables remote patient monitoring (RPM) which reduces costs by triaging patients to optimize hospitalization and avoid complications. The FDA regulates AI in medical devices and aims to ensure patient safety, effectiveness, and transparent AI solutions. OBJECTIVES: Identify and summarize FDA approved RPM devices to provide information for the US medical device industry based on previous approvals and the markets' needs. METHODS: We searched publicly available databases on FDA-approved RPM devices. Selection criteria were established to classify a solution as AI. Technical information was analyzed on pre-identified 16 parameters for the qualified solutions. RESULTS: A total of 47 RPM devices were reviewed, among which 12.8% were classified as a De Novo product and the remaining devices fell under the 510(K) FDA category. The cardiovascular (74%) AI RPM solutions dominated the US market, followed by ECG-based arrhythmia detection algorithms (59.4%), and Hemodynamics and Vital Sign monitoring algorithms (21.9%). The trend observed in the FDA rejected devices was their inability to be classified into clinically relevant categories (Criteria 2 and 3). CONCLUSION: The market needs more innovative RPM solutions under the De Novo category, as there are very few. The transparency is low on the technical aspect of AI algorithms. The market needs AI algorithms that can effectively classify patients rather than merely improve device functionality.

Incidence of Japanese Encephalitis and Acute Encephalitis Syndrome Hospitalizations in the Medium-Endemic Region in Central India.

BACKGROUND: We estimated the incidence of Japanese encephalitis (JE) and acute encephalitis syndrome (AES) following routine immunization with the live-attenuated SA 14-14-2 JE vaccine. METHODS: We implemented enhanced surveillance of AES and JE hospitalizations in endemic districts in Maharashtra and Telangana States during 2015-2016 and 2018-2020. We estimated incidence and compared differences in the incidence of JE and AES between two states, and vaccinated and unvaccinated districts during two study periods. We also considered secondary data from public health services to understand long-term trends from 2007 to 2020. RESULTS: The annual AES incidence rate of 2.25 cases per 100,000 children in Maharashtra during 2018-2020 was significantly lower than 3.36 cases per 100,000 children during 2015-2016. The six JE-vaccinated districts in Maharashtra had significantly lower incidence rates during 2018-2020 (2.03, 95% CI 1.73-2.37) than in 2015-16 (3.26, 2.86-3.70). In addition, the incidence of both JE and AES in two unvaccinated districts was higher than in the vaccinated districts in Maharashtra. Telangana had a lower incidence of both JE and AES than Maharashtra. The AES incidence rate of 0.95 (0.77-1.17) during 2018-2020 in Telangana was significantly lower than 1.67 (1.41-1.97) during 2015-2016. CONCLUSIONS: The annual incidence rate of Japanese encephalitis was < 1 case per 100,000 children. It indicated accelerated control of Japanese encephalitis after routine immunization. However, the annual incidence of acute encephalitis syndrome was still > 1 case per 100,000 children. It highlights the need for improving surveillance and evaluating the impacts of vaccination.

The Burden of Human Bocavirus 1 in Hospitalized Children With Respiratory Tract Infections.

BACKGROUND: Human bocavirus 1 (HBoV1) is frequently codetected with other viruses, and detected in asymptomatic children. Thus, the burden of HBoV1 respiratory tract infections (RTI) has been unknown. Using HBoV1-mRNA to indicate true HBoV1 RTI, we assessed the burden of HBoV1 in hospitalized children and the impact of viral codetections, compared with respiratory syncytial virus (RSV). METHODS: Over 11 years, we enrolled 4879 children <16 years old admitted with RTI. Nasopharyngeal aspirates were analyzed with polymerase chain reaction for HBoV1-DNA, HBoV1-mRNA, and 19 other pathogens. RESULTS: HBoV1-mRNA was detected in 2.7% (130/4850) samples, modestly peaking in autumn and winter. Forty-three percent with HBoV1 mRNA were 12-17 months old, and only 5% were <6 months old. A total of 73.8% had viral codetections. It was more likely to detect HBoV1-mRNA if HBoV1-DNA was detected alone (odds ratio [OR]: 3.9, 95% confidence interval [CI]: 1.7-8.9) or with 1 viral codetection (OR: 1.9, 95% CI: 1.1-3.3), compared to ≥2 codetections. Codetection of severe viruses like RSV had lower odds for HBoV1-mRNA (OR: 0.34, 95% CI: 0.19-0.61). The yearly lower RTI hospitalization rate per 1000 children <5 years was 0.7 for HBoV1-mRNA and 8.7 for RSV. CONCLUSIONS: True HBoV1 RTI is most likely when HBoV1-DNA is detected alone, or with 1 codetected virus. Hospitalization due to HBoV1 LRTI is 10-12 times less common than RSV.

Protective effects of low temperature on the risk of hospitalization for mental and behavioral disorders: a time series study.

BACKGROUND: The high incidence of mental illness worldwide is a substantial economic burden on society. Temperature and the occurrence of mental and behavioral disorders (MDs) seem to have a relationship, but this has not been widely researched. Therefore, this study aimed to investigate the effect of temperature on the hospitalization rate of patients with MDs in a temperate monsoon climate region of northern China. METHODS: Patients with MDs hospitalized in the Mental Health Center of Hebei Medical University and Psychology Department in The third Hospital of Shijiazhuang, China, from January 2014 to December 2019 were included in the study. The delayed exposure - response relationship between temperature and the number of hospitalized MDs patients was analyzed using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model. RESULTS: With the reference of 15.3°C (temperature with the minimum hospitalizations), the single lag effect of low temperature (-2°C, 10th percentile) increased the hospitalization of patients with MDs, while the cumulative effect decreased the risk of hospitalization for some MD subtypes; it was an acute protective effect. The single and cumulative lag effect of high temperature statistically increased the hospitalization rates of patients with MDs. The optimum temperature for each subtype was different, and the males and the younger age group were more susceptible to high temperatures. CONCLUSIONS: Low temperature has an acute protective effect on the hospitalization of patients with MDs. In comparison, high temperature increases hospitalization rates. Men and younger people are more affected by temperature, which provides early warning and health intervention measures for patients with corresponding temperature changes.

Hospitalization Rates for Inflammatory Bowel Disease Are Decreasing Over Time: A Population-based Cohort Study.

BACKGROUND: Recent advances in the management of inflammatory bowel disease (IBD) striving for new treatment targets may have decreased rates of hospitalization for flares. We compared all-cause, IBD-related, and non-IBD-related hospitalizations while accounting for the rising prevalence of IBD. METHODS: Population-based, administrative health care databases identified all individuals living with IBD in Alberta between fiscal year 2002 and 2018. Hospitalization rates (all-cause, IBD-related, and non-IBD-related) were calculated using the prevalent Alberta IBD population. Hospitalizations were stratified by disease type, age, sex, and metropolitan status. Data were age and sex standardized to the 2019 Canadian population. Log-linear models calculated Average Annual Percentage Change (AAPC) in hospitalization rates with associated 95% confidence intervals (CIs). RESULTS: From 2002-2003 to 2018-2019, all-cause hospitalization rates decreased from 36.57 to 16.72 per 100 IBD patients (AAPC, -4.18%; 95% CI, -4.69 to -3.66). Inflammatory bowel disease-related hospitalization rate decreased from 26.44 to 9.24 per 100 IBD patients (AAPC, -5.54%; 95% CI, -6.19 to -4.88). Non-IBD-related hospitalization rate decreased from 10.13 to 7.48 per 100 IBD patients (AAPC, -1.82%; 95% CI, -2.14 to -1.49). Those over 80 years old had the greatest all-cause and non-IBD-related hospitalization rates. Temporal trends showing decreasing hospitalization rates were observed across age, sex, IBD type, and metropolitan status. CONCLUSIONS: Hospitalization rates are decreasing for all-cause, IBD-related, and non-IBD-related hospitalizations. Over the past 20 years, the care of IBD has transitioned from hospital-based care to ambulatory-centric IBD management.

Hospitalization rates per 100 IBD patients are decreasing. However, when using the general population as the denominator, the interpretation of temporal trends changes because the prevalence of IBD has risen faster than the general population's growth rate.

Global Hospitalization Trends for Crohn's Disease and Ulcerative Colitis in the 21st Century: A Systematic Review With Temporal Analyses.

BACKGROUND & AIMS: The evolving epidemiologic patterns of inflammatory bowel disease (IBD) throughout the world, in conjunction with advances in therapeutic treatments, may influence hospitalization rates of IBD. We performed a systematic review with temporal analysis of hospitalization rates for IBD across the world in the 21st century. METHODS: We systematically reviewed Medline and Embase for population-based studies reporting hospitalization rates for IBD, Crohn's disease (CD), or ulcerative colitis (UC) in the 21st century. Log-linear models were used to calculate the average annual percentage change (AAPC) with associated 95% confidence intervals (95% CIs). Random-effects meta-analysis pooled country-level AAPCs. Data were stratified by the epidemiologic stage of a region: compounding prevalence (stage 3) in North America, Western Europe, and Oceania vs acceleration of incidence (stage 2) in Asia, Eastern Europe, and Latin America vs emergence (stage 1) in developing countries. RESULTS: Hospitalization rates for a primary diagnosis of IBD were stable in countries in stage 3 (AAPC, -0.13%; 95% CI, -0.72 to 0.97), CD (AAPC, 0.20%; 95% CI, -1.78 to 2.17), and UC (AAPC, 0.02%; 95% CI, -0.91 to 0.94). In contrast, hospitalization rates for a primary diagnosis were increasing in countries in stage 2 for IBD (AAPC, 4.44%; 95% CI, 2.75 to 6.14), CD (AAPC, 8.34%; 95% CI, 4.38 to 12.29), and UC (AAPC, 3.90; 95% CI, 1.29 to 6.52). No population-based studies were available for developing regions in stage 1 (emergence). CONCLUSIONS: Hospitalization rates for IBD are stabilizing in countries in stage 3, whereas newly industrialized countries in stage 2 have rapidly increasing hospitalization rates, contributing to an increasing burden on global health care systems.

[Impact of COVID-19 on the immigrant population in the Veneto Region (Northern Italy), by geographical area of origin]. / Impatto del COVID-19 nella popolazione immigrata in Veneto, per area geografica di provenienza.

OBJECTIVES: to examine the differences in SARS-CoV-2 infection and hospitalization rates among migrant populations in Veneto Region (Northern Italy), according to the geographic area of origin. SETTING AND PARTICIPANTS: all residents in Veneto Region aged <65 years were included in the analyses. All subjects infected by SARS-CoV-2 and hospitalized for COVID-19 were identified by means of the regional biosurveillance system. MAIN OUTCOME MEASURES: age- and gender-specific infection and hospitalization rates were stratified by geographic area of origin and were estimated using the number of incident cases over the resident population in Veneto on 01.01.2021. Incidence rate ratios (IRR) for infection and hospitalization rates were estimated using a Poisson model, adjusted for age and gender, among migrants compared to Italians. RESULTS: compared to Italians, SARS-CoV-2 infection rates were significantly higher among migrants from Central and South America and Central and South Asia, lower among those from North Africa and High-Income Countries (HIC), and were approximately halved for those coming from Other Asian Countries (mainly represented by China). Hospitalization rates were significantly higher for all migrant populations when compared to Italians, with the exception of those coming from HIC. Neither age nor gender seemed to modify the association of the geographic area of origin with SARS-CoV-2 infection and hospitalization rates. IRR for SARS-CoV-2 infection of migrants compared to Italians showed how migrants from Other Asian Countries had the lowest infection rates (-53%), followed by people from HIC (-25%), North Africa (-21%), and Eastern Europe (-10%). Higher infection rates were present for Central and South America and Central and South Asia (+17% and +10, respectively). Hospitalization rates were especially high among migrants from Central and South Asia, Africa, and Central and South America, ranging from 1.84 to 3.14 times those observed for Italians. CONCLUSIONS: a significant heterogeneity in SARS-CoV-2 infection and hospitalization rates of migrant populations from different geographic areas of origin were observed. The significantly lower incidence rate ratio for infections, compared to that observed for hospitalizations, is suggestive of a possible under-diagnosis of SARS-CoV-2 infection among migrant populations. Public health efforts should be targeted at increasing support among migrants to contrast the spread of the pandemic by potentiating vaccination campaigns, contact tracing, and COVID-19 diagnostic tests.

Infectious causes of acute encephalitis syndrome hospitalizations in Central India, 2018-20.

BACKGROUND: We enhanced surveillance of hospitalizations of all ages for acute encephalitis syndrome (AES) along with infectious aetiologies, including the Japanese encephalitis virus (JEV). METHODS: From October 2018 to September 2020, we screened neurological patients for AES in all age groups in Maharashtra and Telangana States. AES cases were enrolled at study hospitals along with other referrals and sampled with cerebrospinal fluid, acute and convalescent sera. We tested specimens for non-viral aetiologies viz. leptospirosis, typhoid, scrub typhus, malaria and acute bacterial meningitis, along with viruses - JEV, Dengue virus (DENV), Chikungunya virus (CHIKV), Chandipura virus (CHPV) and Herpes simplex virus (HSV). RESULTS: Among 4977 neurological hospitalizations at three study site hospitals over two years period, 857 (17.2%) were AES. However, only 287 (33.5%) AES cases were eligible. Among 278 (96.9%) enrolled AES cases, infectious aetiologies were identified in 115 (41.4%) cases, including non-viral in 17 (6.1%) cases - leptospirosis (8), scrub-typhus (3) and typhoid (6); and viral in 98 (35.3%) cases - JEV (58, 20.9%), HSV (22, 7.9%), DENV (15, 5.4%) and CHPV (3, 1.1%). JEV confirmation was significantly higher in enrolled cases than referred cases (10.2%) (p < 0.05). However, the contribution of JEV in AES cases was similar in both children and adults. JE was reported year-round and from adjacent non-endemic districts. CONCLUSIONS: The Japanese encephalitis virus continues to be the leading cause of acute encephalitis syndrome in central India despite vaccination among children. Surveillance needs to be strengthened along with advanced diagnostic testing for assessing the impact of vaccination.

Influenza vaccination of home health care staff and the impact on patient hospitalizations.

BACKGROUND: Influenza is associated with significant morbidity and mortality for adults aged 65 years and older. Influenza vaccination of health care workers is recommended. There is limited evidence regarding influenza vaccinations among health care workers in the home health care (HHC) setting and their impact on HHC patient outcomes. METHODS: A national survey of HHC agencies was conducted in 2018-2019 and linked with patient data from the Centers for Medicare and Medicaid Services. Adjusted logistic regression models were used to estimate the association between hospital transfers due to respiratory infection during a 60 day HHC episode and staff vaccination policies. RESULTS: Only 26.2% of HHC agencies had staff vaccination requirements and 71.2% agencies had staff vaccination rates higher than 75%. Agency policies for staff influenza vaccination were associated with reduced hospital transfers due to respiratory infection among HHC patients. DISCUSSION: Influenza vaccination rates among HHC staff were low during the 2017-2018 influenza season. Policymakers may consider vaccination mandates to improve health care worker vaccination rates and protect patient safety. CONCLUSIONS: This study sheds light on the potential impact of COVID-19 vaccination among HHC workers on patient outcomes. COVID-19 vaccination mandates could prove to be a vital tool in the fight against COVID-19 variants and infection outbreaks.

Efficacy and safety of sacubitril/valsartan in an outpatient setting: A single-center real-world retrospective study in HFrEF patients with focus on possible predictors of clinical outcome.

BACKGROUND: Currently, data on sacubitril/valsartan therapy from the real-world settings are scarce and the predictors of a good clinical responsiveness to this drug are unknown. OBJECTIVES: To assess efficacy and safety profile of sacubitril/valsartan and to identify predictors for a better clinical outcome. MATERIAL AND METHODS: Clinical, laboratory and echocardiographic data of 95 chronic heart failure (CHF) patients with reduced ejection fraction (HFrEF) were retrospectively analyzed. A good efficacy of sacubitril/valsartan was defined as the fulfilment of at least 2 of the following criteria: improvement of left ventricular ejection fraction (LVEF) or functional status, and reduction of N-terminal pro-brain natriuretic peptide (NT-proBNP) levels or hospitalization rates. RESULTS: Under sacubitril/valsartan, major improvements were observed in LVEF, the New York Heart Association (NYHA) class, NT-proBNP levels, and hospitalization rates. Patients with a good efficacy of sacubitril/valsartan were characterized by initially worse LVEF (median (interquartile range (IQR)): 29.0% (23.0-33.0%) compared to 32.0% (28.5-38.0%) with more frequent nonischemic etiology (65.4% compared to 41.9%) and hospitalizations for CHF/month (0.016 (0.004-0.057) compared to 0.000 (0.000-0.012)), lower cholesterol (42.3% compared to 65.1%), higher C-reactive protein (CRP) levels at baseline (0.5 mg/L (0.5-1.0 mg/L) compared to 0.5 mg/L (0.5-0.5 mg/L)), and a shorter timespan between CHF diagnosis and the start of sacubitril/valsartan treatment (66.0 (11.0-127.0) compared to 111 (73.0-211.0) months) (p < 0.05 each). In a multivariate Cox analysis, only the last 2 parameters were shown to be independent predictors of good clinical responsiveness to sacubitril/valsartan (hazard ratio (HR) = 1.263, 95% confidence interval (95% CI) = [1.048; 1.521]; HR = 0.992, 95% CI = [0.987; 0.997], p < 0.05, respectively). CONCLUSIONS: Sacubitril/valsartan improved LVEF, NYHA class, NT-proBNP levels, and hospitalization rates, mostly without relevant side effects. The independent predictors of a good clinical efficacy were higher CRP levels at baseline and a shorter delay between CHF diagnosis and the initialization of sacubitril/valsartan therapy.

Hospitalization patterns in HD patients in the Kingdom of Saudi Arabia: A comprehensive cohort study.

INTRODUCTION: The rate of hospitalization represents a morbidity indicator in HD patients. The study aimed to evaluate hospitalization patterns in a large HD cohort. METHODS: All DaVita-KSA HD patients from October 2014 to December 2019 were included. Demographical and clinical characteristics and hospitalization data were recorded. Less than 24 h admission was excluded. Overall and cause-specific hospitalization rates were calculated. RESULTS: During the follow-up period, 3982 patients with a mean age of 52.5 ± 16.8 years, 2667 hospitalizations were recorded in 34.1% of the patients and 45.6% had repeated admissions. Infectious causes accounted for 26.6% of all recorded causes vs. 15.6% for cardiovascular complications. The median hospital stay length was 11 days, while the overall annual hospitalization rate of 34.9% and the annual duration of 3.7 days per patient. Hospitalized patients had a higher risk of mortality (p < 0.001). CONCLUSION: Infectious complications were the leading cause of hospitalization and had the longest hospital stay.

Geographic Distribution and Time Trends of Colorectal Cancer in Brazil from 2005 to 2018.

BACKGROUND: Colorectal cancer (CRC) is the third most common malignancy and the second leading cause of cancer-related death in the world. The aim of this study was to investigate the geographic distribution and time trends of CRC in Brazil. METHODS: Data were retrospectively retrieved from January 2005 to December 2018 from the Brazilian Public Health System. The incidence and lethality rates of CRC per 100,000 inhabitants in each municipality were estimated from hospitalizations and in-hospital deaths and were classified by age, sex, and demographic features. RESULTS: During the study period, the mean incidence of CRC estimated from hospitalizations and adjusted to available hospital beds more than tripled from 14.6 to 51.4 per 100,000 inhabitants (352%). Increases in CRC incidence were detected in all age ranges, particularly among people aged 50-69 years (266%). Incidence rates increased in all 5 macroregions, with a clear South to North gradient. The greatest changes in incidence and lethality rates were registered in small-sized municipalities. CRC lethality estimated from in-hospital deaths decreased similarly in both sexes, from 12 to 8% for males and females, from 2005 to 2018. The decline in lethality rates was seen in all age ranges, mainly in people aged 50 to 69 years (- 38%). CONCLUSIONS: CRC incidence is increasing, predominantly above fifty years of age, and also in areas previously considered as having low incidence, but the increase is not paralleled by lethality rates. This suggests recent improvements in CRC screening programs and treatment, but also supports the spread of environmental risk factors throughout the country.

A Nationwide Study of Inpatient Case Rate Incidence of Cannabis-Related Diagnoses in Switzerland.

Objectives: Cannabis is the most commonly used illicit substance and has been associated with mental health issues. In this study, we examined trends in hospitalizations due to cannabis use. Methods: Data were obtained from the Swiss Federal Statistics Office and comprised hospital main diagnoses, gender, age group and region of all psychiatric inpatient cases in Switzerland from 1998 to 2020. We performed trend analyses of annual case rates with cannabinoid-related diagnoses and compared them to trend analyses of alcohol-related and psychotic disorders. Results: Case rates of CRDs significantly increased in the observed time period. From all psychiatric main diagnoses, CRDs were overrepresented in the age groups of 15-24 and 25-44 years. Conclusion: We found a sharp increase in hospitalizations for CRD. Future studies should test whether changes in the upcoming cannabis regulation, which can facilitate the implementation of interventions to address mental health among users, impact future hospitalization rates of CRD.