COVID-19 ICU Research Articles

Predictive biomarkers for severity of respiratory syndrome: the role of eGFR and hematological parameters in ICU patients

Introduction: Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and their impact on organ function. Insights from these studies are essential for managing current and future pandemics and improving patient outcomes in respiratory health crises. This study investigates the behavior of the estimated glomerular filtration rate (eGFR) and its correlation with hematological parameters in ICU patients with COVID-19. Objective: To assess eGFR behavior and its correlation with hematological parameters in respiratory syndromes ICU patients. Materials and Methods: 217 patient records were analyzed, with 144 discharged and 73 deaths. Patients were divided into discharge and death groups and laboratory parameters such as glomerular filtration rate and blood count were.evaluated at admission and outcome. Results and Discussion: There was a significant reduction in eGFR among patients in the death group at both admission and outcome. Significant correlations were observed between eGFR and hemoglobin (Hb), total neutrophils (N), and platelets (PLT) at the outcome. These findings suggest that the reduction in eGFR is a predictor of poor prognosis in COVID-19 ICU patients. Additionally, the significant correlations between eGFR and hematological parameters highlight their role in the inflammatory process and clinical deterioration. Conclusion: The reduction of eGFR is a significant predictor of poor prognosis in ICU patients with COVID-19. Significant correlations between eGFR and hematological parameters underscore their importance in the inflammatory process and disease progression. Studying respiratory syndromes like COVID-19 is crucial for understanding viral-induced inflammatory responses and improving critical care strategies for future respiratory health crises.

Outbreak with OXA-23-producing Acinetobacter baumannii in a COVID-19 ICU cohort: unraveling routes of transmission.

An outbreak of OXA-23-producing carbapenem-resistant Acinetobacter baumannii amongst ICU-patients with COVID-19 likely occurred by transmission through inanimate surfaces, potentially facilitated by a contaminated positioning pillow shared between patients. Subsequent rapid spread may have been caused by exposure to respiratory secretions contaminating healthcare worker's gloves and gowns during prone positioning.

Effects of Conventional versus Virtual Reality-simulated Treadmill Exercise on Fatigue, Cognitive Function, and Participant Satisfaction in Post-COVID-19 Subjects. A Randomized Trial

Background/ObjectivePost-COVID-19 subjects typically experience symptoms of fatigue, cognitive impairment, and sleep difficulty, which can be relieved by conventional aerobic exercise. Virtual Reality (VR) technology to support conventional exercise has recently gained much attention. Therefore, this study aimed to assess the effects of traditional treadmill exercise compared to virtual reality-simulated treadmill exercise on fatigue, cognitive function, sleep quality, and participant satisfaction with the exercise program in post-COVID-19 subjects. MethodsThis single-centered, randomized, parallel-group intervention study was conducted between December 2021 and March 2022. Sixteen of twenty post-COVID-19 subjects completed this study (n1=8, n2=8). Inclusion criteria were persistent dyspnea/fatigue, mild cognitive problems, and age 30–60 years. Exclusion criteria were previous severe COVID-19 infection and ICU admission, concomitant respiratory or cardiovascular disease, and musculoskeletal or neurological disease. Eligible subjects were assigned randomly to two groups: a non-VR group that received traditional treadmill aerobic exercise only and a VR group that received treadmill exercise with non-immersive VR. Both groups received moderate-intensity exercise on a treadmill at [50–60% (peak HR－resting HR) + resting HR] for 30–45 min, three times per week, and for four weeks. The outcome measures were the Chalder Fatigue Scale, Montreal Cognitive Assessment (MoCA) questionnaire, Pittsburgh Sleep Quality Index (PSQI), and participant satisfaction with the exercise program rated on a 5-point Likert scale. ResultsBoth groups showed significant improvements in the Chalder Fatigue Scale, the MoCA questionnaire, and the PSQI scores after training compared to baseline (p<0.05), without significant differences between them (p>0.05). However, participant satisfaction with the exercise program was significantly higher in the VR group than in the non-VR group (p=0.037). ConclusionA moderate-intensity 4-week treadmill exercise program with and without non-immersive VR may improve fatigue, cognitive function, and sleep quality to the same extent in COVID-19 survivors. However, participant satisfaction with the exercise program could be greater after conventional treadmill training assisted by non-immersive VR than after conventional treadmill training alone in this cohort. Trial registrationPan African Clinical Trials Registry, PACTR202311561948428, retrospectively registered

The Effect of Hemoadsorption with CytoSorb on Severe COVID-19 Complications

The aim of the study was to assess the effect of hemoadsorption with CytoSorb on the inflammatory response, respiratory failure, and mortality in patients with severe novel coronavirus infection.Materials and methods. A retrospective single-center cohort comparative study of hemoadsorbtion using the CytoSorb therapy included data from 124 COVID-19 ICU patients. Patients were divided into two groups: the study arm with hemoadsorption (group 1, N=93) and the control arm without hemoadsorption (group 2, N=31). Patients in group 1 had more severe respiratory failure at baseline, but were otherwise comparable to patients in group 2 in terms of clinical and demographic parameters.Results. After hemoadsorption, group 1 patients showed significant improvement in 9 of 13 monitored clinical, instrumental, and laboratory parameters: fever (P=0.005), lactate dehydrogenase (LDH) (P&lt;0.001), C-reactive protein (CRP) (P&lt;0.001), and IL-6 (P&lt;0.001) levels, as well as an increase in SpO₂/FiO₂ ratio (P=0.041), leukocyte count (P&lt;0.001) and lymphocyte count (P=0.003), as well as no significant changes in SOFA score (P=0.068). The only improvement seen in group 2 patients was a reduction in fever (P=0.003). Other significant changes in group 2 were unfavorable, such as a decrease in SpO₂/FiO₂ ratio (P=0.002), an increase in inspiratory oxygen fraction FiO₂ (P=0.001), leukocyte count (P&lt;0.05), LDH (P=0.038), procalcitonin (P&lt;0.001), and IL-6 (P=0.005), as well as an increase in SOFA score from 3.0 to 7.0 (95%CI, 3.0–9.0) (P=0.001). The all-cause hospital mortality rate was 37,63% in group 1 and 74.20% in group 2.Conclusion. The use of hemoadsorption with CytoSorb as a pathogenetic therapy targeting the hyperinflammatory response in the management algorithm of ICU patients with severe COVID-19 complications resulted in resolution of the inflammatory response and respiratory failure, as well as a significant reduction in mortality.

Impact of SARS-CoV-2 infection and vaccination on cesarean section outcomes: a retrospective analysis.

Pregnant individuals have faced unique challenges during the COVID-19 pandemic, necessitating a closer examination of maternal and fetal health outcomes. Investigate the morbidity and mortality associated with SARS-CoV-2 infection among pregnant individuals, considering vaccination status and variant strains. Retrospective cohort. Tertiary state hospital. Patients who underwent cesarean sections were categorized into three periods: pre-vaccination (before 31 August 2021), early post-vaccination (from September 2021), and late post-vaccination (aligned with 70% immunization coverage by 2 September 2021). Data collected included demographic information (age, gravidity, parity count, gestational age, newborn APGAR scores), cesarean section indications, chronic diseases, vaccination status, vaccine type and doses, SARS-CoV-2 variant status, ICU admission, and mortality due to COVID-19. ICU admission and mortality rates, focusing on the impact of SARS-CoV-2 infection and vaccination status. 297 COVID PCR-positive symptomatic patients who underwent cesarean sections. In the pre-vaccination group, there were 13 mortalities (8.1%) compared to 9 (6.6%) post-vaccination (P=.610). Maternal ARDS was seen in 46.2% of pre-vaccination mortalities versus 11.1% post-vaccination (P=.045). COVID-19 delta variant patients had higher ICU admission (80%) and mortality rates (40%). Rates of COVID-19 PCR-positive cesarean sections, ICU admissions, and mortality declined significantly in early (P=.021, P=.004, P=.009), respectively and late post-vaccination periods (P<.001, P<.001, P=.0019), respectively. Vaccinated patients had no ICU admissions or mortality. Vaccination against COVID-19 is crucial for pregnant individuals as it significantly reduces the risk of severe illness. While vaccines offer substantial protection, the pandemic's acute phase might be waning, yet COVID-19 remains a global threat, particularly in regions with limited vaccine access. Continued vigilance and proactive measures are essential to mitigate ongoing risks and the emergence of new variant strains. Retrospective observational design and the single-center setting, which may affect the generalizability of the findings.

Surviving Critical Care: A Follow-Up Study Assessing Pulmonary Function, Cardiopulmonary Exercise Testing, and Quality of Life in COVID-19-Affected Patients

Introduction: Survivors of severe COVID-19 face complex challenges and a high degree of pulmonary sequelae. Therefore, we aim to describe their ongoing health burden. Methods: In this single-center prospective cohort study, COVID-19 ICU survivors were invited 3 and 6 months after ICU discharge. We examined pulmonary function with pulmonary function tests (PFT) and cardiopulmonary exercise testing (CPET), and we established health-related quality of life (HRQL) and health status (HS) with the EuroQol five-dimension five-level (EQ-5D-5L), the short-form health survey 12 (SF-12), and the modified British Medical Research Council dyspnea scale (mMRC) questionnaires. Results: Out of the 53 individuals screened, 23 participated in this study. Throughout both assessment points, participants maintained PFT results within range, apart from a decline in the transfer factor of the lung for carbon monoxide (TLCO). CPET showed improved fitness but persistent ventilatory deficiencies, indicated by altered dead space ventilation (VD/VT) and elevated arterial-alveoli gradient for oxygen (AaDO2). HRQL and HS remained compromised, with both physical (PCS) and mental component summary (MCS) scores significantly lower than the standardized norm population scores. Also, there was a rise in the prevalence of issues related to mobility, pain/discomfort, and anxiety/depression, and an increase in reported dyspnea. Conclusion: These results enhance our comprehension of the complex difficulties faced by COVID-19 ICU survivors. Six months post-discharge, CPET revealed the presence of ventilatory insufficiencies. Additionally, there was a decline in HRQL and HS, notably affected by mental health concerns and an increase in the level of dyspnea.

CHA2DS2-VASc Score as Predictor of New-Onset Atrial Fibrillation and Mortality in Critical COVID-19 Patients.

Pre-existing and new-onset atrial fibrillation (NOAF) is a common arrhythmia in COVID-19 patients and is related to increased mortality. CHA2DS2-VASc score was initially developed to evaluate thromboembolic risk in patients with AF. Moreover, it predicted adverse outcomes in other clinical conditions, including SARS-CoV-2 infection. We aimed to evaluate the association of CHA2DS2-VASc with NOAF, ICU length of stay (LOS) and mortality in critically ill COVID-19 patients. We also examined the relationship of NOAF with mortality. We reviewed the literature to describe the link between cardiovascular risk factors and inflammatory response of severe COVID-19. We retrospectively studied 163 COVID-19 patients admitted to a level 3 general ICU from March 2020 to April 2022. Patients were of advanced age (median 64 years, IQR 56.5-71) and the majority of them were male (67.5%). Regarding NOAF, we excluded 12 patients with AF history. In this group, CHA2DS2VASc score was significantly elevated (3 IQR (1-4) versus 1 IQR (1-2.75), p = 0.003). Specifically, three components of CHA2DS2VASc were notably increased: age (p < 0.001), arterial hypertension (p = 0.042) and stroke (p = 0.047). ICU mortality was raised in the NOAF group [75.8% versus 34.8%, p < 0.001 OR 5.87, 95% CI (2.43, 14.17)]. This was significant even after adjusting for ICU clinical scores (APACHE II and SOFA). About mortality in the entire sample, survivors were younger (p = 0.001). Non-survivors had greater APACHE II (p = 0.04) and SOFA (p = 0.033) scores. CHA2DS2VASc score was positively associated with mortality [p = 0.031, OR 1.28, 95% CI (1.03, 1.6)]. ICU length of stay was associated with mortality (p = 0.016) but not with CHA2DS2VASc score (p = 0.842). NOAF and CHA2DS2VASc score were associated with higher mortality in COVID-19 ICU patients. CHA2DS2VASc score was also associated with NOAF but not with ICU LOS.

A prospective cohort study on cognitive and psychological outcomes in COVID-19 ICU survivors at 3 months of follow up.

The Outcomes - Short and Long term in ICU patient with COVID-19 "OUTSTRIP COVID-19" study was initiated to assess overall mortality, physical and psychiatric co-morbidities, reduction in lung function, and the ability to return to work post-ICU discharge with a follow-up period of 2 years in COVID-19 patients admitted to ICUs in Qatar. This paper focuses on the prevalence of cognitive impairment, depression, anxiety, and stress at baseline and 3 months after ICU discharge. This prospective cohort study included 100 ICU survivors reviewed at baseline within 7 weeks of ICU discharge, with a 3-month follow-up. Demographics, clinical characteristics, and relevant medical history were collected at baseline. Cognitive outcomes were assessed using the Montreal Cognitive Assessment-Basic (MoCA-B) tool, while psychological outcomes were evaluated using the Depression Anxiety and Stress Scale-21 (DASS-21). At baseline, 72% of ICU survivors exhibited mild cognitive impairment, which significantly improved to 56% at 3 months. However, severe cognitive impairment persisted in 20% of survivors at 3 months.For psychological outcomes, the mean depression score remained below 9 (5.64 ± 6.90) at both time points, with no significant change. At baseline, 25% of survivors had clinical depression, which reduced to 16% at 3 months.The mean anxiety score at baseline (9.35 ± 8.50) significantly decreased to 6.51 ± 7.74 (p = 0.002) at 3 months. Anxiety was not reported by 48% of survivors at baseline and this increased to 66% at 3 months. Severe to extremely severe anxiety decreased from 19% to 12% during the same period.The mean stress score at baseline (8.34 ± 8.07) did not significantly change at 3 months. At baseline, 18% experienced stress, which decreased to 12% at 3 months, with 5.3% facing severe to extremely severe stress. COVID-19 ICU survivors experience significant cognitive impairment, anxiety, and stress. While cognitive impairment and anxiety showed improvements at 3 months, depression and stress remained unchanged. These outcomes strongly emphasize the requirement for thorough post-ICU care and comprehensive mental health assistance for individuals recovering from COVID-19. Customized interventions and additional research endeavors are crucial to effectively manage the cognitive and psychological consequences faced by these patients. The exploration of telemonitoring and innovative approaches can offer avenues to enhance the overall quality of life for survivors. Further investigation should encompass extended timeframes to analyze prolonged effects and consider the broader socioeconomic impact.

'The Norm Is to Not Openly Collaborate': Using the Lens of Co-Production to Evaluate the Development of a COVID-19 ICU Triage Policy.

In 2020, surging cases of COVID-19 meant that health services had to plan for crisis-level triage. In the Australian Capital Territory, the Clinical Health Emergency Coordination Centre sought to develop a triage policy in collaboration with a range of consumer, carer and community groups. This study aims to map the collaborative development of the COVID-19 ICU triage policy onto the principles of co-production. Interviews were conducted with facilitators, members of advocacy or consumer groups and clinicians who were involved in the development of the triage policy. Interviews were thematically analysed using both theory- and data-driven approaches to, respectively, draw on the theoretical framework of co-production, and to explore participants' perspectives relevant to but beyond the scope of this theoretical framework. The findings suggest that at each stage of the initiative, there were ways in which the principles of co-production were met, and ways in which they were not met. One of the fundamental concerns that arose was about whether trying to solve a problem based on resources was compatible with a solution based on human rights. Literature about co-production has been critiqued for being limited to aspirational concerns, or implying co-production is easily achievable. The current study contributes to existing research through the application of the theoretical framework of co-production and exploring ways its aims were met and not met within a system-level collaboration developing a high-stakes health policy. This study has been conducted and written by researchers working from lived experience perspectives, and other researchers working from traditionally mainstream health disciplines, including psychology and medicine. Further, the study is about patient and public involvement in the development of a health policy. Thus it both embodies and is about non-tokenistic collaboration between people with lived experience and other health professionals.

Hospital Chaplain Burnout, Depression, and Well-Being during the COVID-19 Pandemic.

Healthcare personnel experienced unprecedented stressors and risk factors for burnout, anxiety, and depression during the COVID-19 pandemic. This may have been particularly true for spiritual health clinicians (SHCs), also referred to as healthcare chaplains. We administered a daily pulse survey that allowed SHCs to self-report burnout, depression, and well-being, administered every weekday for the first year of the pandemic. We used a series of linear regression models to evaluate whether burnout, depression, and well-being were associated with local COVID-19 rates in the chaplains' hospital system (COVID-19 admissions, hospital deaths from COVID-19, and COVID-19 ICU census). We also compared SHC weekly rates with national averages acquired by the U.S. Census Bureau's Household Pulse Survey (HPS) data during the same timeframe. Of the 840 daily entries from 32 SHCs, 90.0% indicated no symptoms of burnout and 97.1% were below the cutoff for depression. There was no statistically significant relationship between any of the COVID-19 predictors and burnout, depression, or well-being. Mean national PHQ-2 scores were consistently higher than our sample's biweekly means. Understanding why SHCs were largely protected against burnout and depression may help in addressing the epidemic of burnout among healthcare providers and for preparedness for future healthcare crises.

Efficacy and outcomes of BCG re-vaccination in COVID-19: a systematic review, meta-analysis, and meta-regression of randomized controlled trials.

The Bacillus Calmette-Guerin (BCG) vaccine has a beneficial "off-target" effect that offers heterologous protection against respiratory tract infections by inducing trained immunity. The need for producing antigen-specific COVID-19 vaccines leads to delays in vaccine administration. Current randomized controlled trials (RCTs) report conflicting data on BCG's efficacy in COVID-19 infection. A comprehensive literature search was conducted using major bibliographic databases to identify RCTs evaluating the outcomes of BCG re-vaccination in COVID-19. For dichotomous outcomes, odds ratios (ORs) with 95% CIs were pooled using the DerSimonian-Laird random-effects model. Statistical significance was set at P less than 0.05. Thirteen RCTs with 13939 participants (7004 in the BCG re-vaccination group and 6935 in the placebo group) were included. BCG re-vaccination did not lead to a statistically significant difference in the incidence of COVID-19 infection [OR: 1.04; 95% CI: 0.91, 1.19; P=0.56], COVID-19-related hospitalizations [OR: 0.81; 95% CI: 0.38, 1.72; P=0.58), ICU admissions [OR: 0.43; 95% CI: 0.13, 1.46; P=0.18], or mortality [OR: 0.67; 95% CI 0.15, 3.04; P=0.60]. For safety outcomes, BCG re-vaccination led to a significant increase in the local injection site complications [OR: 99.79; 95% CI: 31.04, 320.80; P<0.00001], however, the risk of serious adverse events was similar [OR: 1.19; 95% CI: 0.84, 1.67; P=0.33]. BCG re-vaccination does not decrease the incidence of COVID-19 infection, COVID-19-related hospitalizations, ICU admissions, COVID-19-related mortality, and serious adverse events; however, it leads to a rise in local injection site complications. Caution should be exercised when overstating BCG's efficacy in COVID-19 prevention.

Impact of COVID-19 vaccines in patients on hemodialysis: an Italian multicentre cohort study.

The aim of this study was to evaluate the impact on the national health system of COVID-19 infection in vaccinated patients undergoing haemodialysis. From the cohort of vaccinated dialysis patients enrolled in 118 dialysis centres, we calculated hospitalisation incidence in COVID-19-infected subjects. COVID-19-related hospitalisations and ICU admissions were analysed over two time periods (prior to administration of the third dose and following administration of the third dose of vaccine) and adjusted for several co-variates. Using the general population as the reference, we then calculated the Standardized Incidence Ratio (SIR) of hospitalisation. Eighty-two subjects out of 1096 infected patients were hospitalised (7.5%) and sixty-four hospitalisations occurred among the 824 infected persons after the third dose. Age ≥ 60years (Adj RR 2.91; 95% CI 1.34-6.30) and lung disease (Adj RR = 2.45; 95% CI 1.32-4.54) were the only risk factors associated with hospitalisation. The risk of ICU admission in the second time period (Time 2) was reduced by 86% (RR = 0.14; 95% CI 0.03-0.71) compared to the first time period (Time 1). The SIR of hospitalisation (SIR 14.51; 95% CI 11.37-17.65) and ICU admission (SIR 14.58; 95% CI 2.91-26.24) showed an increase in the number of events in dialysis patients compared to the general population. Our analysis revealed that while the second variant of the virus increased infection rates, it wasconcurrently associated withmitigated severity of infections. Dialysis patients exhibited a higher susceptibility to both COVID-19 hospitalisation and ICU admission than the general population throughout the pandemic.

Metabolic Syndrome as A Prognostic Factor for Outcome of Severe SARS-COV-2 Cases

Abstract Background SARS-COV-2 (Coronavirus Disease-2019), a disease caused by the coronavirus. SARS-CoV-2 (Sever Acute Respiratory Syndrome-Coronavirus-2) has emerged as a rapidly spreading communicable disease affecting more than 100 countries across the globe at present. Aim of the Work To illuminate to what extent metabolic syndrome can be used as a prognostic factor for outcomes of patients infected with SARS-COV-2. Primary outcome measure is ICU stay and outcome. Secondary outcome measures are Patients requiring MV and mortality. Patients and Methods This was a retrospective study in order to illuminate to what extent metabolic syndrome can be used as a prognostic factor for outcomes of patients infected with SARS-COV-2, with Primary outcome measure which was ICU stay and outcome, and Secondary outcome measures were Patients requiring MV and mortality. Ninety patients admitted to ICU for Pneumonic COVID-19 with a confirmed positive RT-PCR for COVID-19 and chest computed tomography was divided into two groups in Ain-shams University hospitals. Results Components of metabolic syndrome such as hypertension, type 2 diabetes mellitus (T2DM), and obesity are highly prevalent and significantly increase the risk of hospitalization and mortality in SARS-COV-2 patients. Conclusion MetS is a better prognostic indicator for severe disease outcomes in patients with COVID-19 than its individual components. Patients with MetS had a significantly higher need for ICU admission irrespective of their age, sex, or race. The need for mechanical ventilation was also higher across all patients with MetS. The association of MetS with higher mortality was significant for females, patients younger than 65 years of age.

Efficacy and safety of COVID-19 vaccination in solid organ transplant recipients: A systematic review and network meta-analysis

The impact of COVID-19 vaccination on clinical outcomes in solid organ transplant (SOT) recipients remains unclear. This systematic review and network meta-analysis sought to assess the efficacy and safety of COVID-19 vaccination in SOT recipients. We searched 6 databases from inception to March 1, 2024 for randomized controlled trials (RCTs) and observational studies evaluating different COVID-19 vaccination strategies in SOT recipients. Based on patient-important outcomes, we performed frequentist random-effects pairwise meta-analyses and network meta-analyses, separating RCTs and nonrandomized evidence, and used the Grading of Recommendation, Assessment, Development, and Evaluation approach to assess our certainty in the evidence. We included 6 RCTs (N = 814) and 43 observational studies (N = 125 199). Overall, there is a paucity of randomized evidence evaluating COVID-19 vaccines in SOT recipients. The nonrandomized evidence evaluating COVID-19 vaccination strategies patient-important outcomes, including COVID-19 infection, mortality, hospitalization, ICU admission, and rejection, demonstrated low to very low certainty due to the included studies’ risk of bias. Throughout the COVID-19 pandemic, clinicians and SOT recipients worked with minimal, very low-quality evidence in relation to COVID-19 vaccines in this population. In the instance of future public health emergencies, clinicians and researchers should collaborate closely with patient partners to ensure there is sufficient evidence in the transplant population on patient-important outcomes.

COVID-19 Bed Management Using a Two-Step Process Mining and Discrete-Event Simulation Approach

The sudden admission of many patients with similar needs caused by the COVID-19 (SARS-CoV-2) pandemic forced health care centers to temporarily transform units to respond to the crisis. This process greatly impacted the daily activities of the hospitals. In this paper, we propose a two-step approach based on process mining and discrete-event simulation for sizing a recovery unit dedicated to COVID-19 patients inside a hospital. A decision aid framework is proposed to help hospital managers make crucial decisions, such as hospitalization cancellation and resource sizing, taking into account all units of the hospital. Three sources of patients are considered: (i) planned admissions, (ii) emergent admissions representing day-to-day activities, and (iii) COVID-19 admissions. Hospitalization pathways have been modeled using process mining based on synthetic medico-administrative data, and a generic model of bed transfers between units is proposed as a basis to evaluate the impact of those moves using discrete-event simulation. A practical case study in collaboration with a local hospital is presented to assess the robustness of the approach. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —In this paper we develop and test a new decision-aid tool dedicated to bed management, taking into account exceptional hospitalization pathways such as COVID-19 patients. The tool enables the creation of a dedicated COVID-19 intensive care unit with specific management rules that are fine-tuned by considering the characteristics of the pandemic. Health practitioners can automatically use medico-administrative data extracted from the information system of the hospital to feed the model. Two execution modes are proposed: (i) fine-tuning of the staffed beds assignment policies through a design of experiment and (ii) simulation of user-defined scenarios. A practical case study in collaboration with a local hospital is presented. The results show that our model was able to find the strategy to minimize the number of transfers and the number of cancellations while maximizing the number of COVID-19 patients taken into care was to transfer beds to the COVID-19 ICU in batches of 12 and to cancel appointed patients using ICU when the department hit a 90% occupation rate.

Artificial Intelligence (AI) Model to Predict the Risk of COVID-19 ICU Severity: A Pandemic Success Story

Artificial Intelligence (AI) Model to Predict the Risk of COVID-19 ICU Severity: A Pandemic Success Story

Empirical antibiotic therapy in COVID-19 ICU pulmonary coinfections

Empirical antibiotic therapy in COVID-19 ICU pulmonary coinfections

Anxiety and depression in health workers in a COVID-19 ICU in a reference hospital

Anxiety and depression in health workers in a COVID-19 ICU in a reference hospital

Utilizing disease transmission and response capacities to optimize covid-19 control in Malaysia

ObjectivesPublic Health Social Measures (PHSM) such as movement restriction movement needed to be adjusted accordingly during the COVID-19 pandemic to ensure low disease transmission alongside adequate health system capacities based on the COVID-19 situational matrix proposed by the World Health Organization (WHO). This paper aims to develop a mechanism to determine the COVID-19 situational matrix to adjust movement restriction intensity for the control of COVID-19 in Malaysia.MethodsSeveral epidemiological indicators were selected based on the WHO PHSM interim guidance report and validated individually and in several combinations to estimate the community transmission level (CT) and health system response capacity (RC) variables. Correlation analysis between CT and RC with COVID-19 cases was performed to determine the most appropriate CT and RC variables. Subsequently, the CT and RC variables were combined to form a composite COVID-19 situational matrix (SL). The SL matrix was validated using correlation analysis with COVID-19 case trends. Subsequently, an automated web-based system that generated daily CT, RC, and SL was developed.ResultsCT and RC variables were estimated using case incidence and hospitalization rate; Hospital bed capacity and COVID-19 ICU occupancy respectively. The estimated CT and RC were strongly correlated [ρ = 0.806 (95% CI 0.752, 0.848); and ρ = 0.814 (95% CI 0.778, 0.839), p < 0.001] with the COVID-19 cases. The estimated SL was strongly correlated with COVID-19 cases (ρ = 0.845, p < 0.001) and responded well to the various COVID-19 case trends during the pandemic. SL changes occurred earlier during the increase of cases but slower during the decrease, indicating a conservative response. The automated web-based system developed produced daily real-time CT, RC, and SL for the COVID-19 pandemic.ConclusionsThe indicators selected and combinations formed were able to generate validated daily CT and RC levels for Malaysia. Subsequently, the CT and RC levels were able to provide accurate and sensitive information for the estimation of SL which provided valuable evidence on the progression of the pandemic and movement restriction adjustment for the control of Malaysia.

COVID-19 mortality prediction in Hungarian ICU settings implementing random forest algorithm

The emergence of newer SARS-CoV-2 variants of concern (VOCs) profoundly changed the ICU demography; this shift in the virus’s genotype and its correlation to lethality in the ICUs is still not fully investigated. We aimed to survey ICU patients’ clinical and laboratory parameters in correlation with SARS-CoV-2 variant genotypes to lethality. 503 COVID-19 ICU patients were included in our study beginning in January 2021 through November 2022 in Hungary. Furthermore, we implemented random forest (RF) as a potential predictor regarding SARS-CoV-2 lethality among 649 ICU patients in two ICU centers. Survival analysis and comparison of hypertension (HT), diabetes mellitus (DM), and vaccination effects were conducted. Logistic regression identified DM as a significant mortality risk factor (OR: 1.55, 95% CI 1.06–2.29, p = 0.025), while HT showed marginal significance. Additionally, vaccination demonstrated protection against mortality (p = 0.028). RF detected lethality with 81.42% accuracy (95% CI 73.01–88.11%, [AUC]: 91.6%), key predictors being PaO2/FiO2 ratio, lymphocyte count, and chest Computed Tomography Severity Score (CTSS). Although a smaller number of patients require ICU treatment among Omicron cases, the likelihood of survival has not proportionately increased for those who are admitted to the ICU. In conclusion, our RF model supports more effective clinical decision-making among ICU COVID-19 patients.