Hospitalization burden and epidemiology of the COVID-19 pandemic in Spain (2020-2021)

Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis

BACKGROUND

Despite global efforts to mitigate COVID-19 infection through vaccination and therapeutic interventions, morbidity and mortality rates continued at variable rates. Although mortality risk and clinical features of COVID-19 are well-documented, recovery patterns and prognostic factors post-admission remain inconclusive, particularly in resource-limited settings like Ethiopia. This systematic review and meta-analysis (SRM) aimed to estimate the pooled incidence rate of recovery and predictors among hospitalized COVID-19 patients in Ethiopia.

METHODS

We searched (N = 1,191) articles using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline from PubMed/MEDLINE (N = 755), Scopus (N = 137), Web of Science (N = 84), Science Direct (N = 148), Cochran (N = 25), and Google Scholar searching (N = 42) from December 2019 to February 2024. The data were extracted using a Microsoft Excel spreadsheet and exported to Stata TM version 17.0 for further analysis. The Article quality was assessed using the Joanna Briggs Institute checklist. The pooled incidence rate of recovery was estimated using a weighted inverse variance random-effects meta-regression. Heterogeneity among studies was evaluated using the I2 statistic. Subgroup analyses and sensitivity tests were also conducted to explore publication bias. This file is registered in international Prospero with ID (CRD42024518569).

RESULT

Sixteen (N = 16) published studies with 7,676 hospitalized COVID-19 patients were included in the final report. The mean age of participants ranged from 29 (± 17) to 57.5 (± 3) years, with male patients constituting the largest proportion of participants, 4,491(58.5%). During recovery screening, 6,304(82.21%) cases were discharged as improved, 159 (2.1%) attriters, and 818 (10.6%) died during inpatient treatment. The pooled incidence of recovery, mortality, and attrition rates were found to be 82.32% (95% CI: 78.81-85.83; I2 = 94.8%), 14.3% (I2 = 98.45%), and 2.7% (I2 = 81.34%), respectively. Incidence of recovery rate varied across regions and epidemic phases, with the highest rate observed in Addis Ababa (89.94%, I2 = 78.33%) and the lowest reported in the Tigray region (59.7%, I2 = 0.0%). Across epidemic phases, the recovery rate was 88.05% (I2 = 29.56%) in Phase II, 84.09% (I2 = 97.57%) in Phase I, and 78.92% (I2 = 96.9%) in Phase III, respectively. Factors included being aged 15-30 years (pooled OR = 2.01), male sex (pooled OR = 1.46), no dyspnea (pooled OR = 2.4; I2 = 79%), and no baseline comorbidities (pooled OR = 1.15; I2 = 89.3%) were predictors for recovery. CONCLUSION AND RECOMMENDATION: In Ethiopia, more than eight out of ten hospitalized COVID-19 patients recovered after inpatient treatment. However, the incidence of recovery rates varied significantly across epidemic phases, study settings, and regions. Factors including younger age, male sex, no dyspnea (shortness of breathing), and no underlying comorbidity heightened recovery. It is highly recommended those inpatients cares should focus on high-risk groups (older adults) and implement standardized treatment protocols in each study setting. Regions with lower recovery rates need aid in logistical support and training for healthcare providers.

Epidemiology of the COVID-19 pneumonia in a group of hospitals from Madrid-Spain during the full period of the State of Alarm HM cohort

INTRODUCTION

To describe the epidemiology pattern of the COVID-19 pandemic during all Spanish State of Alarm.

METHODS

Retrospective, observational, cohort and multicenter study. Inclusion criteria: age ≥18 years old, admitted for COVID-19 pneumonia in any of the centers of the HM Hospitals Group. Exclusion criteria: voluntary discharge, death in the emergency department, transfer to centers outside the HM group or incomplete data. State of Alarm period: 31/01/2020 to 05/07/2023. Predominant COVID-19 variant was defined when it exceeded 50% of the total isolates.

RESULTS

During the study period, 2,992 patients were admitted due to a COVID-19 pneumonia, 295 patients (9.86%) non-survive. Survivors and non-survivors were different in age and comorbidities. However, both cohorts presented a similar net of interaction between comorbidities. Hospital admissions per week showed an evolution in "peaks" with "troughs". A total of 197 (6.48%) patients were admitted to the ICU, of whom 52 (26.39%) non-survive; this subgroup stood out for having a higher proportion of septic shock, orotracheal intubation and acute renal failure, as well as a lower proportion of pulmonary thromboembolism and delirium. Concerning the viral variants, the incidence for the original variant was 4.05 cases/day, for the alpha variant 3.82 cases/day, for the delta variant 1.16 cases/day and for the omicron variant 1.35 cases/day.

CONCLUSION

Almost 1 of 10 patients with COVID-19 pneumonia death, a proportion that increased to 1 of 4 in case of being admitted to the ICU. Unexpectedly, interaction between comorbidities did not differ between survivors and non-survivors patients. Predominant variants were associated with different hospital admission rates but not influence the presence of peak-troughs evolution of the pandemic.

A national population-based study of mortality and risk factors in COVID-19-hospitalized patients in Spain (2020-2021)

Objectives

The study aimed to analyze in-hospital mortality (IHM) among all COVID-19 patients hospitalized in Spain between March 1, 2020, and December 31, 2021, and to compare two distinct periods: the prevaccination period (March 1, 2020, to January 31, 2021) and the vaccination period (February 1, 2021, to December 31, 2021). The objective was to assess the impact of vaccination on IHM and identify associated risk factors, using data from Spain's national hospitalization registry.

Methods

This retrospective analysis used data from the Spanish National Surveillance System for Hospital Data. The primary outcome was in-hospital mortality (IHM). Multivariate logistic regression identified risk factors across the overall study period, as well as during the prevaccination and vaccination periods. Risk factors included age (in 20-year intervals), sex, comorbidities (e.g., hypertension, diabetes, chronic kidney failure, obesity, neurodegenerative disorders, and others), and admission to the intensive care unit.

Results

A total of 524,314 COVID-19 hospitalizations were recorded in Spain, with 329,690 during the prevaccination period and 194,624 during the vaccination period. Hospitalization rates dropped from 697/100,000 people to 411/100,000, and in-hospital mortality (IHM) decreased from 16.2 to 11.5% (adjusted odds ratio [AOR]: 0.71, 95% CI: 0.70-0.73, p < 0.001). IHM rose with age, from 0.8% in patients aged 18-39 to 31.7% in those ≥80 years (p < 0.001), but significant decreases were observed across all age groups after vaccination, especially in those ≥80 years (AOR: 0.76, 95% CI: 0.75-0.79, p < 0.001). Risk factors for IHM remained consistent, with leukemia, neoplasm, and lymphoma posing the highest risks, while female sex (AOR: 0.75, 95% CI: 0.74-0.77, p < 0.001) and dyslipidemia (AOR: 0.85, 95% CI: 0.32-0.86, p < 0.001) were protective factors.

Conclusion

During the vaccination period, the risk of in-hospital mortality (IHM) was 29% lower than in the prevaccination period, after adjusting for sex, age, and comorbidities. This reduced risk was observed across sexes, age groups, and comorbidities. The risk factors for IHM remained consistent between the two periods, with age as the main risk factor, while female sex and dyslipidemia were identified as protective factors.

Prevalence and Economic Impact of Acute Respiratory Failure in the Prehospital Emergency Medical Service of the Madrid Community: Retrospective Cohort Study

Background

Chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), and acute pulmonary edema (APE) are serious illnesses that often require acute care from prehospital emergency medical services (EMSs). These respiratory diseases that cause acute respiratory failure (ARF) are one of the main reasons for hospitalization and death, generating high health care costs. The prevalence of the main respiratory diseases treated in a prehospital environment in the prepandemic period and during the COVID-19 pandemic in Spain is unknown. The Madrid Community EMS is a public service that serves all types of populations and represents an epidemiological reference for supporting a population of 6.4 million inhabitants. The high volume of patients treated by Madrid's medical advanced life supports (ALSs) allows us to analyze this little-studied problem.

objectives

Our goal was to lay the groundwork for comprehensive data collection and surveillance of respiratory failure, with an emphasis on the most prevalent diseases that cause it, an aspect that has been largely overlooked in previous initiatives. By achieving these objectives, we hope to inform efforts to address respiratory failure and establish a standardized methodology and framework that can facilitate expansion to a continuous community-wide registry in Madrid, driving advances in emergency care and care practices in these pathologies. The aim of this retrospective observational study was to determine the pathologies that have mainly caused respiratory failure in patients and required medicalized ALS and to evaluate the cost of care for these pathologies collected through this pilot registry.

Methods

A multicenter descriptive study was carried out in the Madrid Community EMS. The anonymized medical records of patients treated with medical ALS, who received any of the following medical diagnoses, were extracted: ARF not related to chronic respiratory disease, ARF in chronic respiratory failure, exacerbations of COPD, APE, CHF, and bronchospasm (not from asthma or COPD). The prevalence of each pathology, its evolution from 2014 to 2020, and the economic impact of the Medical ALSs were calculated.

Results

The study included 96,221 patients. The most common pathology was exacerbation of COPD, with a prevalence of 0.07% in 2014; it decreased to 0.03% in 2020. CHF followed at 0.06% in 2014 and 0.03% in 2020. APE had a prevalence of 0.01% in 2014, decreasing to 0.005% in 2020 with the pandemic. The greatest economic impact was on exacerbation of COPD in 2015, with an annual cost of €2,726,893 (which equals to US $2,864,628).

Conclusions

COPD exacerbations had the higher prevalence in the Madrid region among the respiratory diseases studied. With the COVID-19 pandemic, the prevalence and costs of almost all these diseases decreased, except for ARF not related to chronic disease. The cost of these pathologies over 5 years was €58,791,031 (US $61,832,879).

New COVID-19 vaccination recommendations in Spain: Optimizing for next seasons

Despite high initial vaccination rates, Spain's current COVID-19 vaccination coverage in recommended groups does not meet WHO targets. For the upcoming season, challenges include revising vaccination age, updating risk groups, and unifying criteria with flu vaccine co-administration. European Commission's advance purchase agreements limit access to certain vaccines, and the need for vaccines effective against current variants adds administrative complexities. Spain's COVID-19 vaccination recommendations should adapt to these specific circumstances. Using vaccines effective against predominant variants with appropriate response duration is crucial to protect at-risk populations. Enhancing training and health education campaigns for health professionals and the general public, alongside utilizing tools to simplify vaccination recommendations, can promote higher vaccination rates in Spain. Addressing these challenges is essential to ensure adequate protection and improve vaccination coverage, ultimately achieving better public health outcomes in the face of evolving COVID-19 threats.

New COVID-19 vaccination recommendations in Spain: Optimizing for next seasons

Despite high initial vaccination rates, Spain's current COVID-19 vaccination coverage in recommended groups does not meet WHO targets. For the upcoming season, challenges include revising vaccination age, updating risk groups, and unifying criteria with flu vaccine co-administration. European Commission's advance purchase agreements limit access to certain vaccines, and the need for vaccines effective against current variants adds administrative complexities. Spain's COVID-19 vaccination recommendations should adapt to these specific circumstances. Using vaccines effective against predominant variants with appropriate response duration is crucial to protect at-risk populations. Enhancing training and health education campaigns for health professionals and the general public, alongside utilizing tools to simplify vaccination recommendations, can promote higher vaccination rates in Spain. Addressing these challenges is essential to ensure adequate protection and improve vaccination coverage, ultimately achieving better public health outcomes in the face of evolving COVID-19 threats.

An agent based simulation of COVID-19 history in Catalonia using extensive real datasets

During the COVID-19 pandemic, effective public policy interventions have been crucial in combating virus transmission, sparking extensive debate on crisis management strategies and emphasizing the necessity for reliable models to inform governmental decisions, particularly at the local level. Leveraging disaggregated socio-demographic microdata, including social determinants, age-specific strata, and mobility patterns, we design a comprehensive network model of Catalonia's population and, through numerical simulation, assess its response to the outbreak of COVID-19 over the two-year period 2020-21. Our findings underscore the critical importance of timely implementation of broad non-pharmaceutical measures and effective vaccination campaigns in curbing virus spread; in addition, the identification of high-risk groups and their corresponding maps of connections within the network paves the way for tailored and more impactful interventions.

Unveiling pandemic patterns: a detailed analysis of transmission and severity parameters across four COVID-19 waves in Bogotá, Colombia

BACKGROUND

Despite a wealth of data from high-income countries, there is limited information on the distinct epidemiological patterns observed in diverse, densely populated regions within Latin America. This retrospective analysis of COVID-19's four major waves in Bogotá, Colombia, evaluates 1.77 million cases in detail.

METHODS

A comprehensive suite of statistical methods was employed. Transmission dynamics were assessed by estimating the instantaneous reproduction number R ( t ) , while variant-specific transmission advantages were estimated using multinomial logistic regression models. Disease severity was assessed through a suite of indicators: Hospitalisation Case Ratio (HCR), intensive care unit case ratio (ICU-CR), case fatality ratio (CFR), hospitalisation fatality ratio (HFR), and ICU fatality ratio (ICU-FR). Additionally, we analysed the distribution of hospitalisations, ICU admissions, and fatalities by age group and wave. We employed a Bayesian hierarchical model to capture epidemiological delays-such as onset-to-death, hospitalisation, and ICU admission durations to estimate hospital and ICU stay durations.

RESULTS

Our findings reveal substantial variation in R ( t ) , with peaks exceeding 2.5 during the ancestral and Omicron waves. Over the course of the pandemic, we observed a 78% reduction in CFR, underscoring shifts in clinical severity. The third wave, associated with the Mu variant, recorded the highest case and death counts, alongside a decreased CFR, an elevated HFR, and a shift in the most affected age group towards younger populations. In contrast, the fourth wave, driven by the Omicron variant, exhibited the highest reproduction number and the lowest overall severity. This wave was characterised by a significant increase in pediatric hospitalisations. The study reveals a continued decline in the mean durations of hospital and ICU stays across the four waves, with hospital stays decreasing from 10.84 to 7.85 days and ICU stays dropping from 16.2 to 12.4 days.

CONCLUSIONS

This study reveals significant shifts in transmission and severity metrics-including mortality, hospitalisation, and ICU rates and stays-across age groups during Bogotá's four COVID-19 waves. These insights underscore the value of retrospective analyses to understand the pandemic's varied impact and inform public health strategies in diverse urban settings.

A nationwide Guillain-Barré syndrome epidemiological study in Spain during the COVID-19 years

BACKGROUND AND PURPOSE

The purpose was to perform a nationwide epidemiological study of Guillain-Barré syndrome (GBS) in Spain, analysing background incidences and seasonal variation and trying to identify incidence changes during the coronavirus disease 2019 (COVID-19) years.

METHODS

This was an observational study collecting all GBS diagnoses from the National Epidemiological Surveillance Network collected by the Ministry of Health. Patients discharged with GBS as the main diagnosis and admitted during 2018-2021 were included. Data on the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections were obtained from the National Epidemiology Centre.

RESULTS

In total, 3147 cases were included, 832 in 2018, 861 in 2019, 670 in 2020 and 784 in 2021. Nationwide hospital incidence was 1.78 in 2018, 1.71 in 2019, 1.41 in 2020 and 1.66 in 2021, with an increased frequency in males, the elderly population and in the winter season. Eleven per cent of GBS patients needed ventilatory support. GBS and SARS-CoV-2 incidences did not correlate with one another (r = -0.29, p = 0.36). GBS incidence decreased during 2020 and during the COVID-19 lockdown period in comparison to the same months of 2018-2019.

CONCLUSIONS

The incidence of GBS in Spain is similar to that of other countries. Despite prior reports describing a significant increase in COVID-19-associated GBS in Spain, a significant drop of GBS incidence during the SARS-CoV-2 pandemic was detected, probably due to prevention measures.

Systematic review and meta-analysis of COVID-19 mRNA vaccine effectiveness against hospitalizations in adults

Background

During the coronavirus disease 2019 (COVID-19) pandemic, Pfizer/BioNTech BNT162b2, and Moderna mRNA-1273 vaccines were central to the global pandemic control measures.

Methods

Here, we conducted a systematic review and meta-analysis to evaluate their real-world vaccine effectiveness (VE). Our study focussed on those that reported the efficacy of these vaccines against COVID-19 hospitalization. Hospitalization was chosen as the primary outcome as it directly reflects the ability of the vaccine to prevent severe disease. A literature search was undertaken using Medline and Embase on 25 February 2024. From this, 50 studies out of 18,347 articles were included for further analysis.

Results

High VE against hospitalization was reported for both the BNT162b2 and mRNA-1273 COVID-19 vaccines when used either as a primary vaccination series (2-dose) or following an additional booster dose (3-dose). Meta-analysis indicated that the pooled VE estimates for each of these vaccination protocols ranged from 84% to 86%, suggesting strong protectiveness. Our data also imply that booster doses can restore waning effectiveness, with no significant differences observed in VE between the 2-dose and 3-dose protocols. However, subgroup analysis revealed an association between the presence of the Omicron variant and a drop in VE, indicating that future emerging SARS-CoV-2 virus variants could similarly affect VE.

Conclusions

Our review underscores the importance of ongoing research to ensure vaccine strategies remain effective against evolving variants. Our study also identified the need for expanding data collection to include underrepresented populations.

Impact and Effectiveness of COVID-19 Vaccines Based on Machine Learning Analysis of a Time Series: A Population-Based Study

Background: Although confirmed cases of infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been declining since late 2020 due to general vaccination, little research has been performed regarding the impact of vaccines against SARS-CoV-2 in Spain in terms of hospitalizations and deaths. Objective: Our aim was to identify the reduction in severity and mortality of coronavirus disease 2019 (COVID-19) at a nationwide level due to vaccination. Methods: We designed a retrospective, population-based study to define waves of infection and to describe the characteristics of the hospitalized population. We also studied the rollout of vaccination and its relationship with the decline in hospitalizations and deaths. Finally, we developed two mathematical models to estimate non-vaccination scenarios using machine learning modeling (with the ElasticNet and RandomForest algorithms). The vaccination and non-vaccination scenarios were eventually compared to estimate the number of averted hospitalizations and deaths. Results: In total, 498,789 patients were included, with a global mortality of 14.3%. We identified six waves or epidemic outbreaks during the observed period. We established a strong relationship between the beginning of vaccination and the decline in both hospitalizations and deaths due to COVID-19 in all age groups. We also estimated that vaccination prevented 170,959 hospitalizations (CI 95% 77,844-264,075) and 24,546 deaths (CI 95% 2548-46,543) in Spain between March 2021 and December 2021. We estimated a global reduction of 9.19% in total deaths during the first year of COVID-19 vaccination. Conclusions: Demographic and clinical profiles changed over the first months of the pandemic. In Spain, patients over 80 years old and other age groups obtained clinical benefit from early vaccination. The severity of COVID-19, in terms of hospitalizations and deaths, decreased due to vaccination. Our use of machine learning models provided a detailed estimation of the averted burden of the pandemic, demonstrating the effectiveness of vaccination at a population-wide level.

Mortality and morbidity in critically ill COVID-19 patients: A systematic review and meta-analysis

BACKGROUND

The COVID-19 pandemic has caused 14.83 million deaths globally. This systematic review and meta-analysis aimed to provide a pooled estimate of the overall mortality and morbidity of critically ill COVID-19 patients.

METHOD

Four electronic databases, Medline/PubMed, the Cochrane Library, the WHO COVID-19 database, and the Web of Science, were used to identify relevant studies. Two authors independently screened the studies, evaluated the eligibility criteria and resolved discrepancies through discussion with the third author. The pooled effect size was computed using STATA software version 14. The Cochran Q test and I2 test were utilized to assess heterogeneity across the studies. Additionally, subgroup analysis, sensitivity analysis, and publication bias were evaluated. It is registered in Prospero with Prospero ID CRD42020212146.

RESULTS

A total of 1003 published articles were screened from various databases, and 24 studies involving a total of 142,291 critically ill COVID-19 participants were selected for inclusion in the review. Among the participants, 67 % were male, and the mean age was 63.43 + SD3.33 years. The mortality rate reported in the individual studies ranged from 4.5 % to 69.5 %. The findings from the analysis revealed that the overall pooled mortality rate was 34 % (95 % confidence interval: 31 %-37 %). Additionally, the findings showed that 62 % of critically ill COVID-19 patients required mechanical ventilation, while 68.7 % of these patients had chronic disease comorbidities.

CONCLUSION

Critically ill COVID-19 patients face a high-risk risk of death, with an estimate of about one in three patients dying from the virus. Notably, a substantial portion of critically ill COVID-19 patients (62 %) require mechanical ventilation; surprisingly, more than two-thirds of patients with COVID-19 have chronic disease comorbidities, highlighting the importance of managing comorbidities in this population.

Outcomes and Patterns of Evolution of Patients with Hematological Malignancies during the COVID-19 Pandemic: A Nationwide Study (2020-2022)

Background: Early reports suggest that hematological malignancy (HM) is a relevant risk factor for morbidity and mortality in COVID-19. We investigated the characteristics, outcomes, and risk factors for mortality in patients hospitalized with HM and COVID-19. Methods: We conducted a retrospective, nationwide study using data from hospitalized patients that were provided by the Spanish Ministry of Health including all patients admitted to a Spanish hospital from 2020 to 2022 with a COVID-19 diagnosis. A descriptive analysis and correlational analyses were conducted. Logistic regression was used to assess mortality in these patients and to calculate odds ratios (ORs). Results: We collected data on 1.2 million patients with COVID-19, including 34,962 patients with HMs. The incidence of hospitalization for patients with HMs was 5.8%, and the overall mortality rate was higher than for patients without HMs (19.8% versus 12.7%, p = 0.001). Mortality rates were higher for patients with lymphomas, multiple myelomas, and leukemias than for those with myeloproliferative disorders. Having HMs was a risk factor for mortality, with OR = 1.7 (95% CI 1.66-1.75, p = 0.001). By subtype, non-Hodgkin lymphomas were the highest risk factor for mortality (OR = 1.7), followed by leukemias (OR = 1.6), Hodgkin lymphomas (OR = 1.58), and plasma cell dyscrasias (OR = 1.24). Conclusions: This study identifies the different clinical profiles of patients with HMs who are at a high risk for mortality when hospitalized with COVID-19. As members of a vulnerable population, these patients deserve special prophylactic and therapeutic measures to minimize the effects of SARS-CoV-2 infection.

Mortality and COVID Infection: Predictors of Mortality 10 Months after Discharge

BACKGROUND

The long-term survival of patients hospitalized with COVID-19 and the factors associated with poorer survival months after infection are not well understood. The aims of the present study were to analyze the overall mortality 10 months after admission.

METHODS

762 patients with COVID-19 disease were included. Patients underwent a complete clinical evaluation, routine laboratory analysis and chest X-ray. Data collected included demographic and clinical data, such as vascular risk factors, tobacco or alcohol use, comorbidity, and institutionalization.

RESULTS

Ten-month mortality was 25.6%: 108 deaths occurred in-hospital, while 87 patients died after discharge. In-hospital mortality was independently related to NT-proBNP values > 503.5 pg/mL [OR = 4.67 (2.38-9.20)], urea > 37 mg/dL [3.21 (1.86-7.31)] and age older than 71 years [OR = 1.93 (1.05-3.54)]. NT-proBNP values > 503.5 pg/mL [OR = 5.00 (3.06-8.19)], urea > 37 mg/dL [3.51 (1.97-6.27)], cognitive impairment [OR = 1.96 (1.30-2.95), cancer [OR = 2.23 (1.36-3.68), and leukocytes > 6330/mm3 [OR = 1.64 (1.08-2.50)], were independently associated with long-term mortality.

CONCLUSIONS

the risk of death remains high even months after COVID-19 infection. Overall mortality of COVID-19 patients during 10 months after hospital discharge is nearly as high as that observed during hospital admission. Comorbidities such as cancer or cognitive impairment, organ dysfunction and inflammatory reaction are independent prognostic markers of long-term mortality.

Assessing the impact of long-term inhaled corticosteroid therapy on patients with COVID-19 and coexisting chronic lung disease: A multicenter retrospective cohort study

Background

Patients with chronic lung disease (CLD), such as asthma or chronic obstructive pulmonary disease, were expected to have an increased risk of clinical manifestations and severity of COVID-19. However, these comorbidities have been reported less frequently than expected. Chronic treatment with inhaled corticosteroids (ICS) may impact the clinical course of COVID-19. The main objective of this study is to know the influence of chronic treatment with ICS on the prognosis of COVID-19 hospitalized patients with CLD.

Methods

A multicenter retrospective cohort study was designed, including patients hospitalized with COVID-19. Epidemiological and clinical data were collected at admission and at seven days, and clinical outcomes were collected. Patients with CLD with and without chronic treatment with ICS were compared.

Results

Two thousand five hundred ninety-eight patients were included, of which 1,171 patients had a diagnosis of asthma and 1,427 of COPD (53.37% and 41.41% with ICS, respectively). No differences were found in mortality, transfer to ICU, or development of moderate-severe ARDS. Patients with chronic ICS had a longer hospital stay in both asthma and COPD patients (9 vs. 8 days, p = 0.031 in asthma patients), (11 vs. 9 days, p = 0.018 in COPD patients); although they also had more comorbidity burden.

Conclusions

Patients with chronic inhaled corticosteroids had longer hospital stays and more chronic comorbidities, measured by the Charlson comorbidity index, but they did not have more severe disease at admission, evaluated with qSOFA and PSI scores. Chronic treatment with inhaled corticosteroids had no influence on the prognosis of patients with chronic lung disease and COVID-19.

Clinical characteristics and prognosis of patients with COVID-19 on mechanical ventilation undergoing continuous renal replacement therapy

BACKGROUND

The coronavirus disease (COVID-19) pandemic has significantly strained global healthcare, particularly in the management of patients requiring mechanical ventilation (MV) and continuous renal replacement therapy (CRRT). This study investigated the characteristics and prognoses of these patients.

METHODS

This multicenter retrospective cohort study gathered data from patients with COVID-19 across 26 medical centers. Logistic analysis was used to identify the factors associated with CRRT implementation.

RESULTS

Of the 640 patients with COVID-19 who required MV, 123 (19.2%) underwent CRRT. Compared to the non-CRRT group, the CRRT group was older and exhibited higher sequential organ failure assessment scores. The incidence of hypertension, diabetes, cardiovascular disease, chronic neurological disease, and chronic kidney disease was also higher in the CRRT group. Moreover, the CRRT group had higher intensive care unit (ICU) (75.6% vs. 26.9%, p < 0.001) and in-hospital (79.7% vs. 29.6%, p < 0.001) mortality rates. CRRT implementation was identified as an independent risk factor for both ICU mortality (hazard ratio [HR]:1.833, 95% confidence interval [CI]:1.342-2.505, p < 0.001) and in-hospital mortality (HR: 2.228, 95% CI: 1.648-3.014, p < 0.001). Refractory respiratory failure (n = 99, 19.1%) was the most common cause of death in the non-CRRT death group, and shock with multi-organ failure (n = 50, 40.7%) was the most common cause of death in the CRRT death group. Shock with multi-organ failure and cardiac death were significantly more common in the CRRT death group, compared to non-CRRT death group.

CONCLUSION

This study indicates that CRRT is associated with higher ICU and in-hospital mortality rates in patients with COVID-19 who require MV. Notably, the primary cause of death in the CRRT group was shock with multi-organ failure, emphasizing the severe clinical course for these patients, while refractory respiratory failure was most common in non-CRRT patients.

Emergency department evaluation of transplanted children with COVID-19

BACKGROUND

Children usually have an asymptomatic or mild course of SARS-CoV-2 infection, studies in immunocompromised patients have shown a different evolution. The aim of this study was to describe the clinical, laboratory, and radiologic manifestations of pediatric solid organ transplant (SOT) and hematopoietic stem cell transplant (HSCT) patients testing positive for SARS-CoV-2.

METHODS

A multicenter retrospective, observational descriptive study was conducted in 3 tertiary hospitals in Madrid (Spain) between March 2020 and December 2022. Consecutive patients aged 0-18 attending the corresponding pediatric emergency departments with a positive result in the real-time polymerase chain reaction test or antigenic test to detect SARS-CoV-2 in the nasopharyngeal sample were included.

RESULTS

A total of 31 children were included in the study. Sixteen (51.6%) were patients with HSCT and 15 (48.3) were patients with SOT. The median time from transplantation to COVID-19 was 1.2 years (IQR:0.5-5.1). The SOT cohort included liver (n = 4, 12.9%), kidney (n = 4, 12.9%), heart (n = 3, 9.7%), multivisceral (n = 3, 9.7%), and lung (n = 1, 3.2%). Of the 31 patients, only one was asymptomatic. The most common symptom on presentation was fever (76.7%). Abnormalities were seen on chest X-ray in 8 (66.6%) of the 12 patients. There was no significant difference in clinical manifestations, lymphopenia and radiological findings regardless of the type of transplantation or immunosuppression status. Thirteen patients (41.9%) were hospitalized. There were no patient deaths.

CONCLUSIONS

In our study, we found that the clinical course and outcome of SOT and HSCT pediatric patients with COVID-19 were generally favorable.