Relationship between COVID-19 Mortality, Hospital Beds, and Primary Care by Italian Regions: A Lesson for the Future

Serum endocan (ESM-1) as diagnostic and prognostic biomarker in Multisystem inflammatory syndrome in children (MIS-C)

Endothelial-cell-specific molecule-1 (ESM-1) also called endocan is a well-known biomarker for detecting inflammation, endothelial dysfunction (ED), and cardiovascular (CV) risk in COVID-19 patients. Upon SARS-CoV-2 infection, a small percentage of children develop Multisystem Inflammatory Syndrome in children (MIS-C). Whether endocan can be used as a biomarker of MIS-C is unknown. In this study, we assessed ESM-1 levels in MIS-C (n = 19) and healthy controls (HC; n = 17). We observed a significant increase in serum ESM-1 levels in MIS-C vs HC (p = 0.0074). In addition, ROC curve analysis demonstrated that this factor has a reasonable discriminatory power between MIS-C patients and HC (AUC of 0.7585). Notably, after one week of hospitalization and care, ESM-1 levels decreased, and this reduction was observed also for other inflammatory and pro-thrombotic markers like C-reactive protein, procalcitonin, fibrinogen, D-dimer, and ferritin, suggesting a general recovery trend in MIS-C patients. In fact, we observed that serum ESM-1 levels positively correlated with procalcitonin (PCT) (r = 0.468; p = 0.043). Finally, logistic regression analysis demonstrated an association between endocan levels and cardiac complications like myocarditis. Therefore, this study suggests that ESM-1 is a valuable diagnostic and prognostic biomarker in patients with MIS-C that may help identify those MIS-C patients at higher risk for cardiovascular complications and guide treatment strategies.

Health system resilience during the COVID-19 pandemic: A comparative analysis of disruptions in care from 32 countries

OBJECTIVE

To quantify disruptions in hospitalization and ambulatory care throughout the coronavirus disease 2019 (COVID-19) pandemic for 32 countries, and examine associations of health system characteristics and COVID-19 response strategies on disruptions.

DATA SOURCES

We utilized aggregated inpatient hospitalization and surgical procedure data from the Organization for Economic Co-operation and Development Health Database from 2010 to 2021. Covariate data were extracted from the Organization for Economic Co-operation and Development Health Database, World Health Organization, and Oxford COVID-19 Government Response Tracker.

STUDY DESIGN

This is a descriptive study using time-series analyses to quantify the annual effect of the COVID-19 pandemic on non-COVID-19 hospitalizations for 20 diagnostic categories and 15 surgical procedures. We compared expected hospitalizations had the pandemic never occurred in 2020-2021, estimated using autoregressive integrated moving average modeling with data from 2010 to 2019, with observed hospitalizations. Observed-to-expected ratios and missed hospitalizations were computed as measures of COVID-19 impact. Mixed linear models were employed to examine associations between hospitalization observed-to-expected ratios and covariates.

PRINCIPAL FINDINGS

The COVID-19 pandemic was associated with 16,300,000 (95% uncertainty interval 14,700,000-17,900,000; 18.0% [16.5%-19.4%]) missed hospitalizations in 2020. Diseases of the respiratory (-2,030,000 [-2,300,000 to -1,780,000]), circulatory (-1,680,000 [-1,960,000 to -1,410,000]), and musculoskeletal (-1,480,000 [-1,720,000 to -1,260,000]) systems contributed most to the declines. In 2021, there were an additional 14,700,000 (95% uncertainty interval 13,100,000-16,400,000; 16.3% [14.9%-17.9%]) missed hospitalizations. Total healthcare workers per capita (β = 1.02 [95% CI 1.00, 1.04]) and insurance coverage (β = 1.05 [1.02, 1.09]) were associated with fewer missed hospitalizations. Stringency index (β = 0.98 [0.98, 0.99]) and excess all-cause deaths (β = 0.98 [0.96, 0.99]) were associated with more missed hospitalizations.

CONCLUSIONS

There was marked cross-country variability in disruptions to hospitalizations and ambulatory care. Certain health system characteristics appeared to be more protective, such as insurance coverage, and number of inputs including healthcare workforce and beds.

WHAT IS KNOWN ON THIS TOPIC

Substantial disruptions in health services associated with the coronavirus disease 2019 pandemic have placed a renewed interest in health system resilience. While there is a growing body of evidence documenting disruptions in services, there are limited comparative assessments across diverse countries with different health system designs, preparedness levels, and public health responses. Learning and adapting from health system-specific gaps and challenges highlighted by the pandemic will be critical for improving resilience.

WHAT THIS STUDY ADDS

All countries experienced disruptions to hospitalizations and surgical procedures with a combined total of 30 million missed hospitalizations and 4 million missed surgical procedures in 2020-2021, but there was marked cross-country heterogeneity in disruptions. Countries with greater baseline healthcare workers, insurance coverage, and hospital beds had disproportionately lower disruptions in care. National health planning discussions may need to balance health system resiliency and efficiency to avert preventable morbidity and mortality.

Envisioning the sustainable and climate resilient hospital of the future

OBJECTIVES

This study aims to create a vision of the future hospital to help healthcare leaders understand how changes in society and the healthcare system, compounded by climate change, could affect future hospital estate.

STUDY DESIGN

The study is part of a larger project based on participatory backcasting aimed at providing integrated strategies for transitioning to a zero-carbon future and adapting to existing climate change through improved asset management.

METHODS

The data presented in this paper were collected during a full-day workshop to construct the vision of the future hospital in 2050. A multidisciplinary team of 19 participants participated in the discussions. A six-phase thematic analysis was applied to the data to develop the narrative vision and graphic recording.

RESULTS

The healthcare system is undergoing transformative changes due to evolving healthcare delivery, patient expectations, emerging technologies, climate change, and sustainability. However, current hospital strategies often fail to consider the interrelationship between the hospital estate and its socio-environmental context. Policymakers, healthcare system leaders, and hospital leaders need a clear vision of the hospital of the future to implement transformational strategies.

CONCLUSIONS

Healthcare transformations require shifting from traditional centralised hospitals to a more flexible, distributed model. Healthcare leaders need to proactively assess how hospitals respond to current and future hazards and consider the impacts within the context of integrated and dispersed healthcare delivery. To address this, a systematic approach to modelling hazards and evaluating design or upgrading options is essential to mitigate the transfer of climate-related risks within healthcare systems.

Bacterial and Viral Co-Infections in COVID-19 Patients: Etiology and Clinical Impact

BACKGROUND

Mixed infections can worsen disease symptoms. This study investigated the impact of mixed infections with viral and bacterial pathogens in patients positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

METHODS

Using the in-house multiplex PCR method, we tested 337 SARS-CoV-2 positive samples for co-infections with three bacterial and 14 other viral pathogens.

RESULTS

Between August 2021 and May 2022, 8% of 337 SARS-CoV-2-positive patients had bacterial co-infections, 5.6% had viral co-infections, and 1.4% had triple mixed infections. The most common causes of mixed infections were Haemophilus influenzae (5.93%) and respiratory syncytial virus (RSV) (1.18%). Children < 5 years old had more frequent co-infections than adults < 65 years old (20.8% vs. 16.4%), while adults showed a more severe clinical picture with a higher C-reactive protein (CRP) level (78.1 vs.16.2 mg/L; p = 0.033), a lower oxygen saturation (SpO2) (89.5 vs. 93.2%), and a longer hospital stay (8.1 vs. 3.1 days; p = 0.025) (mean levels). The risk of a fatal outcome was 41% in unvaccinated patients (p = 0.713), which increased by 2.66% with co-infection with two pathogens (p = 0.342) and by 26% with three pathogens (p = 0.005). Additionally, 50% of intensive care unit (ICU) patients had a triple infection, compared with only 1.3% in the inpatient unit (p = 0.0029). The risk of death and/or ICU admission was 12 times higher (p = 0.042) with an additional pathogen and increased by 95% (p = 0.003) with a third concomitant pathogen.

CONCLUSIONS

Regular multiplex testing is important for prompt treatment and targeted antibiotic use.

Telepsychology revolution in the mental health care delivery: a global overview of emerging clinical and legal issues

Since the outbreak of the COVID-19 pandemic, remote healthcare delivery by technological devices has become a growing practice. It represented an unprecedented change in personal and professional activities, allowing health specialists to continue working online by assisting their patients from home. Psychological practice greatly benefited from this innovation, guaranteeing diagnostic and therapeutic effectiveness through cyber counseling. However, in many countries there have been no enactments of specific laws nor adaptations of the professional deontological code aimed at regulating this new psychological practice dimension, generally defined as telepsychology. This article aims to briefly review the scientific literature on this tool's effectiveness and especially analyze the legal and operational framework in which telepsychology has been to date practiced in Italy and other national realities, thus providing a global overview that may be useful to understand how to improve this valuable but still immature practice.

Key points

The coronavirus pandemic exposed to short- and long-term increase in psychological and psychiatric imbalances.Cyber counseling has been proven to be effective to treat a wide range of psychological disorders.Many of the current national and international legislations concerning the telepsychology practice are still immature. Ad hoc legal frameworks are required for each national context to guarantee a safe and effective cyber counseling delivery.

Relationship between ultra-short heart rate variability and short-term mortality in hospitalized COVID-19 patients

OBJECTIVE

To assess the association between ultra-short heart rate variability (US-HRV) and short-term mortality in patients with COVID-19 and develop prognostic prediction models to identify high-risk patients as early as possible.

METHODS

A retrospective cohort study was performed on 488 patients diagnosed with COVID-19 and hospitalized in the First Affiliated Hospital of Fujian Medical University from December 2022 to January 2023. 10-s electrocardiogram (ECG) data were available for these patients. The US-HRV parameters including standard deviation of all normal-to-normal R-R intervals (SDNN) and root mean square of successive differences between normal-to-normal R-R intervals (rMSSD) were calculated using Nalong ECG software. The endpoint was short-term mortality, including in-hospital mortality or mortality within 1 week after discharge.

RESULTS

Of the 488 patients, 76 (15.6%) died. The SDNN and rMSSD in the death group were significantly lower than those in the survival group (P < 0.001). The area under the receiver operating characteristic (ROC) curve (AUC) for SDNN and rMSSD to predict mortality was 0.761 and 0.715, respectively. The combined use of SDNN and rMSSD had an AUC of 0.774. The mortality rate in the group with SDNN ≤7.5 ms was higher than that of SDNN >7.5 ms group (P < 0.05). With the decrease of SDNN, the mortality of patients showed an upward trend, and the mortality of patients with SDNN ≤2 ms was the highest (66.7%). Multivariate logistic regression analysis identified SDNN as an independent predictor of prognosis (odds ratio (OR) = 5.791, 95% confidential interval (CI) 1.615-20.765, P = 0.007). The AUC of Model 1 (simple model) was 0.866 (95% CI 0.826-0.905). The AUC of Model 2 (comprehensive model) was 0.914 (95% CI 0.881-0.947).

CONCLUSION

SDNN was associated with short-term mortality and provided the additional discriminatory power of the risk stratification model for hospitalized COVID-19 patients.

Regional Variations in Coronavirus Disease 2019 Mortality in Japan: An Ecological Study

Introduction

As the characteristics of coronavirus disease 2019 (COVID-19) vary across regions and countries, the relationship between regional characteristics, such as the distribution of physicians and hospital beds, and COVID-19 mortality was assessed in the 47 prefectures of Japan.

Methods

This ecological study was based on the number of patients with COVID-19 by prefecture during the seventh wave of COVID-19 in Japan (June-October 2022). COVID-19 mortality was indexed as the number of COVID-19 deaths divided by the number of new COVID-19 cases. Data on regional factors, such as population size, number of physicians, and hospital beds by prefecture, were obtained from government statistics. Correlations between regional characteristics and COVID-19 mortality index were analyzed by dividing the 47 prefectures into two groups at the median level of population size (more populated group [MPG] ≥ 1.6 million and less populated group [LPG] < 1.6 million).

Results

The COVID-19 mortality index (mean 12.7, minimum-maximum: 4.7-25.7) was correlated negatively with the number of physicians per hospital bed (r = -0.386, p = 0.007) and positively with the number of long-term care facilities per 10,000 population (r = 0.397, p = 0.006) and aging rate (the proportion of population aged ≥ 65 years) (r = 0.471, p = 0.001). The two groups varied with respect to the number of physicians (28.7 physicians in the LPG vs. 26.1 physicians in the MPG, p = 0.038) and hospital beds (156 beds in the LPG vs. 119 beds in the MPG, p < 0.001) per 10,000 population. In the multiple regression analysis, the COVID-19 mortality index was correlated negatively with the number of physicians per hospital bed (β = -0.543, p = 0.024) and positively with the aging rate (β = 0.434, p = 0.032) in the LPG, with nonsignificant correlations in the MPG.

Conclusions

The data may suggest a need of improvement in the distribution of physicians and hospital beds in the healthcare system in regions with smaller and older populations to reduce the rate of COVID-19.

Country-level predictors of COVID-19 mortality

This study aimed to identify country-level predictors of COVID-19 mortality, after controlling for diverse potential factors, and utilizing current worldwide mortality data. COVID-19 deaths, as well as geographic, demographic, socioeconomic, healthcare, population health, and pandemic-related variables, were obtained for 152 countries. Continuous variables were examined with Spearman's correlation, categorical variables with ANOVA or Welch's Heteroscedastic F Test, and country-level independent predictors of COVID-19 mortality identified by weighted generalized additive models. This study identified independent mortality predictors in six limited models, comprising groups of related variables. However, in the full model, only WHO region, percent of population ≥ 65 years, Corruption Perception Index, hospital beds/100,000 population, and COVID-19 cases/100,000 population were predictive of mortality, with model accounting for 80.7% of variance. These findings suggest areas for focused intervention in the event of similar future public health emergencies, including prioritization of the elderly, optimizing healthcare capacity, and improving deficient health sector-related governance.

Necrotizing Skin and Soft Tissue Infection after Gluteal Augmentation in a Perioperatively Asymptomatic COVID-19 Patient-Complications of the Post-Lockdown Era? A Case Report

Introduction: Aesthetic surgery procedures are generally done in a relatively healthy population and carry a rather low risk compared to other surgical specialties. The incidence of complications in aesthetic surgery varies greatly depending on the type, wound cleanliness regarding the anatomical site, complexity of the surgery, patient's age, and comorbidities but is generally considered low. The overall incidence of surgical site infections (SSIs) in all aesthetic surgical procedures is around 1% in most of the literature while cases of necrotizing soft tissue infections are mostly found as individual reports. In contrast, treating COVID-19 patients is still challenging with many diverse outcomes. Surgical stress and general anesthesia are known mediators of cellular immunity impairment while studies regarding COVID-19 infection unquestionably have shown the deterioration of adaptive immunity by SARS-CoV-2. Adding COVID-19 to the modern surgical equation raises the question of immunocompetence in surgical patients. The main question of the modern post-lockdown world is: what could be expected in the postoperative period of perioperatively asymptomatic COVID-19 patients after aesthetic surgery? Case report: Here, we present a purulent, complicated, necrotizing skin and soft tissue infection (NSTI) after gluteal augmentation most likely triggered by SARS-CoV-2-induced immunosuppression followed by progressive COVID-19 pneumonia in an otherwise healthy, young patient. To the best of our knowledge, this is the first report of such adverse events in aesthetic surgery related to COVID-19. Conclusion: Aesthetic surgery in patients during the incubation period of COVID-19 or in asymptomatic patients could pose a significant risk for surgical complications, including severe systemic infections and implant loss as well as severe pulmonary and other COVID-19-associated complications.

Mortality and Associated Factors in Patients with COVID-19: Cross-Sectional Study

The novel virus severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) is highly virulent and causes coronavirus disease 2019 (COVID-19), resulting in high morbidity and mortality mainly associated with pulmonary complications. Because this virus is highly transmissible, it was quickly spread globally, resulting in COVID-19 being declared as a pandemic. This study aimed to analyze the prevalence of mortality and the factors related to mortality due to COVID-19 in patients with severe acute respiratory syndrome (SARS) at a university hospital in the Central—West region of Brazil. This retrospective cross-sectional study was based on an analysis of the medical records of patients with SARS aged >18 years and admitted to an intensive care unit due to COVID-19 with the requirement of invasive mechanical ventilation. Hospital death was considered as an outcome variable in this study. Moreover, demographic and lifestyle-related variables as well as the therapeutic measures used during the hospital stay were recorded and correlated with the death outcome. After excluding 188 medical records, 397 were analyzed. Most of the participants were men (59.7%), and the mortality rate in patients with SARS due to COVID-19 was 46.1%. Multiple regression analysis indicated that the independent factors associated with mortality in patients with SARS due to COVID-19 were the age of >60 years (p < 0.001) and the use of azithromycin (p = 0.012). Protective factors for mortality were considered as not having the following diseases: hyperthyroidism, asthma, hepatic inheritance, and not being a smoker. The mortality rate in patients with SARS due to COVID-19 was associated with older age and the use of azithromycin.