Timing and causes of death in severe COVID-19 patients

Predictors for cause-specific and timing of deaths in patients with COVID-19: a cohort study in Taiwan

BACKGROUND

This cohort study determines the predictors for cause-specific and timing of deaths in patients with COVID-19 in Taiwan.

METHODS

Patients with laboratory-confirmed COVID-19 admitted to Taipei City Hospital from January 1 to July 31, 2022, were recruited in this cohort. All patients were followed up until death, discharge from the hospital, or August 31, 2022. Early deaths within the first 2 weeks were recorded, and the cause of death was confirmed by the death certificate database of Taiwan. Predictors of cause-specific and timing of deaths of patients with COVID-19 were determined using multinomial Cox proportional hazards regression analysis.

RESULTS

Of the 195 (8.0%) patients who died during hospitalization, 147 (84.0%) had COVID-19-specific deaths. Moreover, 54.9% of the deceased patients had early death. After controlling for other covariates, patients aged ≥ 65 years had a higher risk of COVID-19-specific, non-COVID-19-specific, early, and late deaths [adjusted hazards ratio (AHR): 3.85, 6.45, 3.33, and 6.57; 95% confidence interval (CI): 1.91-7.78, 1.17-35.68, 1.51-7.36, and 2.18-19.76, respectively]. Fully vaccinated patients had a lower risk of COVID-19-specific (AHR: 0.68; 95% CI: 0.47-0.98) and early deaths (AHR: 0.54; 95% CI: 0.35-0.84), whereas comorbid patients with chronic obstructive pulmonary disease had a higher risk of non-COVID-19-specific deaths (AHR: 5.43; 95% CI: 1.73-17.03).

CONCLUSIONS

This study suggests that prioritizing COVID-19 vaccination and carefully monitoring comorbid patients during hospitalization can reduce the risk of COVID-19-specific and early deaths and non-COVID-19-specific mortalities, respectively.

Investigation of Oral Shedding of Torquetenovirus (TTV) in Moderate-to-Severe COVID-19 Hospitalised Patients

BACKGROUND

Torquetenovirus (TTV) is a small DNA virus constituting the human virome. High levels of TTV-DNA have been shown to be associated with immunosuppression and inflammatory chronic disorders.

AIM

To assess the possible association between the salivary viral load of TTV-DNA in patients hospitalised due to COVID-19 and disease severity.

METHODS

Saliva samples collected from 176 patients infected with SARS-CoV-2 were used to investigate the presence of SARS-CoV-2 and TTV-DNA by use of real-time RT-PCR.

RESULTS

The majority of patients were male with severe COVID-19. Presence of SARS-CoV-2 was observed in the saliva of 64.77% of patients, showing TTV-DNA in 55.68% of them. Patients with impaired clinical conditions (p < 0.001), which evolved to death (p = 0.003), showed a higher prevalence of TTV-DNA. The median viral load in patients with severe condition was 4.99 log10 copies/mL, in which those who were discharged and those evolving to death had values of 3.96 log10 copies/mL and 6.27 log10 copies/mL, respectively. A statistically significant association was found between the distribution of TTV-DNA viral load in saliva samples and severity of COVID-19 (p = 0.004) and disease outcomes (p < 0.001).

CONCLUSIONS

These results indicate that TTV-DNA in saliva could be a useful biomarker of COVID-19 severity and prognosis.

Comparison of clinical outcomes in hospitalized patients with COVID-19 or non-COVID-19 community-acquired pneumonia in a prospective observational cohort study

PURPOSE

Coronavirus disease 2019 (COVID-19) and non-COVID-19 community-acquired pneumonia (NC-CAP) often result in hospitalization with considerable risks of mortality, ICU treatment, and long-term morbidity. A comparative analysis of clinical outcomes in COVID-19 CAP (C-CAP) and NC-CAP may improve clinical management.

METHODS

Using prospectively collected CAPNETZ study data (January 2017 to June 2021, 35 study centers), we conducted a comprehensive analysis of clinical outcomes including in-hospital death, ICU treatment, length of hospital stay (LOHS), 180-day survival, and post-discharge re-hospitalization rate. Logistic regression models were used to examine group differences between C-CAP and NC-CAP patients and associations with patient demography, recruitment period, comorbidity, and treatment.

RESULTS

Among 1368 patients (C-CAP: n = 344; NC-CAP: n = 1024), C-CAP showed elevated adjusted probabilities for in-hospital death (aOR 4.48 [95% CI 2.38-8.53]) and ICU treatment (aOR 8.08 [95% CI 5.31-12.52]) compared to NC-CAP. C-CAP patients were at increased risk of LOHS over seven days (aOR 1.88 [95% CI 1.47-2.42]). Although ICU patients had similar in-hospital mortality risk, C-CAP was associated with length of ICU stay over seven days (aOR 3.59 [95% CI 1.65-8.38]). Recruitment period influenced outcomes in C-CAP but not in NC-CAP. During follow-up, C-CAP was linked to a reduced risk of re-hospitalization and mortality post-discharge (aOR 0.43 [95% CI 0.27-0.70]).

CONCLUSION

Distinct clinical trajectories of C-CAP and NC-CAP underscore the need for adapted management to avoid acute and long-term morbidity and mortality amid the evolving landscape of CAP pathogens.

Preexisting renal graft dysfunction as a major risk factor for SARS-CoV-2 Omicron variant pneumonia: A postinfection cross-sectional study of 312 immunosuppressed renal transplant recipients

OBJECTIVES

SARS-CoV-2 pneumonia poses significant challenges to health systems worldwide, particularly, in severe and critical cases. Immunosuppressed renal transplant recipients appear to be at a particularly high risk for severe or critical COVID-19 illness. However, few studies elucidated the risk factors of SARS-CoV-2 pneumonia in renal transplant recipients with COVID-19.

METHODS

A postinfection cross-sectional survey was conducted in 312 renal transplant recipients and 503 age- and sex-matched controls to explore risk factors for SARS-CoV-2 pneumonia in immunosuppressed renal transplant recipients.

RESULTS

The results showed that renal transplant recipients had a much higher incidence of SARS-CoV-2 pneumonia (48.1%) after infection with the SARS-CoV-2 Omicron variant than controls (5.6%). The multivariate binary logistic regression analysis identified older age, lower creatinine clearance before infection, and higher dose of prednisone before infection as risk factors for SARS-CoV-2 pneumonia in renal transplant recipients. Preexisting renal dysfunction was a major risk factor for SARS-CoV-2 pneumonia, with an odds ratio of 3.27 (1.01-10.61).

CONCLUSIONS

Preexisting renal graft dysfunction was a major risk factor for SARS-CoV-2 Omicron variant pneumonia. It is suggested that high-risk renal transplant recipients should undergo computed tomography scanning within 14 days after infection with SARS-CoV-2.

Outcomes in patients with large vessel occlusion strokes undergoing mechanical thrombectomy with concurrent COVID-19: a nationwide retrospective analysis

BACKGROUND

Preliminary studies show that patients with large vessel occlusion (LVO) acute ischemic strokes have worse outcomes with concurrent COVID-19 infection. We investigated the outcomes for patients with LVO strokes undergoing mechanical thrombectomy (MT) with concurrent COVID-19 infection.

METHODS

The National Inpatient Database (NIS) was used for our analysis. Patients in the year 2020 with an ICD-10 diagnosis code for acute ischemic stroke and procedural code for MT were included with and without COVID-19. Odds ratios (OR) were calculated using a logistic regression model with age, sex, stroke location, Elixhauser comorbidity score, and other patient variables deemed clinically relevant as covariates.

RESULTS

Patients in the COVID-19 group were younger (64.3±14.4 vs 69.4±14.5 years, P<0.001), had a higher rate of inpatient mortality (22.4% vs 10.1%, P<0.001), and a longer length of stay (10 vs 6 days, P<0.001). Patients with COVID-19 had higher odds of death (OR 2.78, 95% CI 2.11 to 3.65) and lower odds of a routine discharge (OR 0.65, 95% CI 0.48 to 0.89). There was no difference in the odds of subsequent stroke and cerebral hemorrhage, but patients with COVID-19 had statistically significantly higher odds of respiratory failure, pulmonary embolism, deep vein thrombosis, myocardial infarction, acute kidney injury, and sepsis.

CONCLUSIONS

Patients with LVOs undergoing MT within the 2020 NIS database had worse outcomes when co-diagnosed with COVID-19, likely due to non-neurological manifestations of COVID-19.

Association of mean RDW values and changes in RDW with in-hospital mortality in ventilator-associated pneumonia (VAP): Evidence from MIMIC-IV database

INTRODUCTION

Ventilator-associated pneumonia (VAP) is a hospital-acquired infection with high mortality, and remains a challenge for clinical treatment. Red blood cell distribution width (RDW) was associated with worse outcomes in several diseases. The purpose of this study was to investigate the relationship between mean RDW values, changes in RDW (delta RDW), and in-hospital mortality among patients with VAP.

METHODS

In the present study, we enrolled 1266 VAP patients from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. All patients were categorized into low group, medium group, and high group according to tertiles of mean RDW values. The primary outcome was all-cause in-hospital mortality. Univariate logistic regression analysis, multivariate logistic regression analysis, and restricted cubic spline (RCS) curve were performed to determine the association between mean RDW values and in-hospital mortality in VAP. Moreover, RCS curve was plotted to explore the dose-response relationship between delta RDW and in-hospital mortality in VAP.

RESULTS

Among the VAP patients included in the study, the in-hospital mortality was 20.85% with 264 non-survivors and 1002 survivors. The non-survivors exhibited significantly higher mean RDW values and delta RDW values compared to survivors. Multivariate logistic regression analysis indicated that mean RDW values were positively associated with in-hospital mortality in VAP after adjusting for relevant covariates. The RCS curve demonstrated a dose-response relationship between mean RDW and the mortality in VAP. Moreover, a linear relationship was observed between delta RDW and in-hospital mortality in VAP.

CONCLUSION

Higher mean RDW values were significantly associated with an increased risk of in-hospital mortality in VAP. Additionally, a linear relationship was found between delta RDW values and in-hospital mortality. These findings suggest that RDW can be used to identify high-risk patients with poorer outcomes in VAP.

Diagnosis and treatment of coagulopathy using thromboelastography with platelet mapping is associated with decreased risk of pulmonary failure in COVID-19 patients

INTRODUCTION

Treatment of coronavirus disease 2019 (COVID-19) patients may require antithrombotic and/or anti-inflammatory medications. We hypothesized that individualized anticoagulant (AC) management, based on diagnosis of coagulopathy using thromboelastography with platelet mapping (TEG-PM), would decrease the frequency of pulmonary failure (PF) requiring mechanical ventilation (MV), mitigate thrombotic and hemorrhagic events, and, in-turn, reduce mortality.

METHODS

Hospital-admitted COVID-19 patients, age 18 or older, with escalating oxygen requirements were included. Prospective and supplemental retrospective chart reviews were conducted during a 2-month period. Patients were stratified into two groups based on clinician-administered AC treatment: TEG-PM guided vs. non-TEG guided.

RESULTS

Highly-elevated inflammatory markers (D-dimer, C-reactive protein, ferritin) were associated with poor prognosis but did not distinguish coagulopathic from noncoagulopathic patients. TEG-guided AC treatment was used in 145 patients vs. 227 treated without TEG-PM guidance. When managed by TEG-PM, patients had decreased frequency of PF requiring MV (45/145 [31%] vs. 152/227 [66.9%], P  < 0.0001), fewer thrombotic events (2[1.4%] vs. 39[17.2%], P  = 0.0019) and fewer hemorrhagic events (6[4.1%] vs. 24[10.7%], P  = 0.0240), and had markedly reduced mortality (43[29.7%] vs. 142[62.6%], P  < 0.0001). Platelet hyperactivity, indicating the need for antiplatelet medications, was identified in 75% of TEG-PM patients. When adjusted for confounders, empiric, indiscriminate AC treatment (not guided by TEG-PM) was shown to be an associated risk factor for PF requiring MV, while TEG-PM guided management was associated with a protective effect (odds ratio = 0.18, 95% confidence interval 0.08-0.4).

CONCLUSIONS

Following COVID-19 diagnosis, AC therapies based on diagnosis of coagulopathy using TEG-PM were associated with significantly less respiratory decompensation, fewer thrombotic and hemorrhagic complications, and improved likelihood of survival.

Quantity of antibiotic use and its association with clinical outcomes in COVID-19 patients: A snapshot from a provincial referral hospital in Indonesia

Irrational antibiotic use in Indonesia is considered high, yet there are still lacks reliable information regarding the issue. The quantity of antibiotic use studies, in particular during coronavirus disease 2019 (COVID-19) pandemic, was not well reported. The aim of this study was to evaluate antibiotic use in COVID-19 patients at a province referral hospital in Aceh, Indonesia, Dr Zainoel Abidin Hospital, and to assess the association between antibiotic use and COVID-19 clinical outcomes. The defined daily dose (DDD) method was used and expressed in DDDs per 100 patient-days as in hospital setting. The data were obtained from inpatient confirmed COVID-19 patients between March 2020 and December 2021. A logistic regression was used to determine the association between patients' characteristics and antibiotic usage with clinical outcomes. A total of 361 treated COVID-19 patients were included using a random sampling technique and analyzed. Out of 361 patients, 89.2% of them were treated with antibiotic(s). All the antibiotics were given empirically except for cefazoline (5.5%) that was used as prophylaxis to obstetric patients who underwent the c-section. Azithromycin was the most prescribed antibiotic and levofloxacin had the highest DDD. Our data suggested that there was no association between antibiotic use and clinical outcomes of COVID-19 patients (p=0.128). Having sepsis and another pulmonary disease however were associated with mortality of COVID-19 patients with adjusted odds ratio (aOR) 14.14; 95%CI 2.94-67.90, p=0.001 and aOR 8.64; 95%CI 3.30-22.63, p<0.001, respectively. In addition, patients older than 60-year-old had a higher chance to an unfavorable outcome compared to those younger than 30-year-old, aOR: 7.61; 95%CI: 1.07-53.94. In conclusion, the use of antibiotics is prevalent among COVID-19 and it is not directly associated with clinical outcomes.

Prevalence of overweight and obesity and their effect on COVID-19 severity and hospitalization among younger than 50 years versus older than 50 years population: A systematic review and meta-analysis

Cohort studies have shown that both overweight and obesity have their impact by increasing hospitalization with COVID-19. We conducted a systematic literature search in PubMed, Google Scholar, and MedRxiv databases following the PRISMA guidelines. Statistical analyses were performed using STATA software version 16 MP (Stata Corp, College Station, TX, USA) and Med Calc software version 22.009(Med Calc software Ltd, Ostend, Belgium). The primary outcome was to measure the prevalence of overweight and obesity and their impact on the risk of hospitalization among COVID-19 patients under and above 50 years of age. In total, 184 studies involving 2,365,377 patients were included. The prevalence of overweight was highest among those younger than 50 years of age over those older than 50 years of age, (26.33% vs. 30.46%), but there was no difference in obesity (36.30% vs. 36.02%). Overall, the pooled prevalence of overweight and obesity among hospitalized COVID-19 patients was 31.0% and 36.26%, respectively. Compared with normal weight, the odds of hospitalization with overweight (odds ratio [OR] 2.186, 95% confidence interval [CI] [1.19, 3.99], p < 0.01) and obesity (OR 3.069, 95% CI [1.67, 5.61], p < 0.001) in those younger than 50 years and obesity (OR 3.977, 95% CI [2.75, 5.73], p < 0.001) in the older than 50 years age group were significantly high. The increased prevalence of overweight and obesity among the under 50 years age group and obesity among the older than 50 years age group significantly increased the rate of COVID-19 infections, severity and hospitalization.

Increased Levels of Galectin-3 in Critical COVID-19

Severe COVID-19 is related to hyperinflammation and multiple organ injury, including respiratory failure, thus requiring intensive care unit (ICU) admission. Galectin-3, a carbohydrate-binding protein exhibiting pleiotropic effects, has been previously recognized to participate in inflammation, the immune response to infections and fibrosis. The aim of this study was to evaluate the relationship between galectin-3 and the clinical severity of COVID-19, as well as assess the prognostic accuracy of galectin-3 for the probability of ICU mortality. The study included 235 COVID-19 patients with active disease, treated in two different Greek hospitals in total. Our results showed that median galectin-3 serum levels on admission were significantly increased in critical COVID-19 patients (7.2 ng/mL), as compared to the median levels of patients with less severe disease (2.9 ng/mL, p = 0.003). Galectin-3 levels of the non-survivors hospitalized in the ICU were significantly higher than those of the survivors (median 9.1 ng/mL versus 5.8 ng/mL, p = 0.001). The prognostic accuracy of galectin-3 for the probability of ICU mortality was studied with a receiver operating characteristic (ROC) curve and a multivariate analysis further demonstrated that galectin-3 concentration at hospital admission could be assumed as an independent risk factor associated with ICU mortality. Our results were validated with galectin-3 measurements in a second patient cohort from a different Greek university hospital. Our results, apart from strongly confirming and advancing previous knowledge with two patient cohorts, explore the possibility of predicting ICU mortality, which could provide useful information to clinicians. Therefore, galectin-3 seems to establish its involvement in the prognosis of hospitalized COVID-19 patients, suggesting that it could serve as a promising biomarker in critical COVID-19.

Post-COVID-19 pulmonary fibrosis: An ongoing concern

Coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 rapidly spread across the globe causing over 6 million deaths and major compromization of health facilities. The vast majority of survivors post-COVID-19 are left with variable degrees of health sequelae including pulmonary, neurological, psychological, and cardiovascular complications. Post-COVID-19 pulmonary fibrosis is one of the major concerns arising after the recovery from this pandemic. Risk factors for post-COVID-19 pulmonary fibrosis include age, male sex, and the severity of COVID-19 disease. High-resolution computed tomography provides diagnostic utility to diagnose pulmonary fibrosis as it provides more details regarding the pattern and the extent of pulmonary fibrosis. Emerging data showing similarities between post-COVID-19 pulmonary fibrosis and idiopathic pulmonary fibrosis, finding that needs further exploration. The management of post-COVID-19 pulmonary fibrosis depends on many factors but largely relies on excluding other causes of pulmonary fibrosis, the extent of fibrosis, and physiological impairment. Treatment includes immunosuppressants versus antifibrotics or both.

Persistence is key: unresolved immune dysfunction is lethal in both COVID-19 and non-COVID-19 sepsis

Introduction

Severe COVID-19 and non-COVID-19 pulmonary sepsis share pathophysiological, immunological, and clinical features, suggesting that severe COVID-19 is a form of viral sepsis. Our objective was to identify shared gene expression trajectories strongly associated with eventual mortality between severe COVID-19 patients and contemporaneous non-COVID-19 sepsis patients in the intensive care unit (ICU) for potential therapeutic implications.

Methods

Whole blood was drawn from 20 COVID-19 patients and 22 non-COVID-19 adult sepsis patients at two timepoints: ICU admission and approximately a week later. RNA-Seq was performed on whole blood to identify differentially expressed genes and significantly enriched pathways. Using systems biology methods, drug candidates targeting key genes in the pathophysiology of COVID-19 and sepsis were identified.

Results

When compared to survivors, non-survivors (irrespective of COVID-19 status) had 3.6-fold more "persistent" genes (genes that stayed up/downregulated at both timepoints) (4,289 vs. 1,186 genes); these included persistently downregulated genes in T-cell signaling and persistently upregulated genes in select innate immune and metabolic pathways, indicating unresolved immune dysfunction in non-survivors, while resolution of these processes occurred in survivors. These findings of persistence were further confirmed using two publicly available datasets of COVID-19 and sepsis patients. Systems biology methods identified multiple immunomodulatory drug candidates that could target this persistent immune dysfunction, which could be repurposed for possible therapeutic use in both COVID-19 and sepsis.

Discussion

Transcriptional evidence of persistent immune dysfunction was associated with 28-day mortality in both COVID-19 and non-COVID-19 septic patients. These findings highlight the opportunity for mitigating common mechanisms of immune dysfunction with immunomodulatory therapies for both diseases.

Two vicious circles associated with the aging of the immune system in the development of severe forms of COVID-19

Background: The immune-inflammatory response is the basis of the pathophysiology of SARS-Cov-2 infection. In severe cases of COVID-19 uncontrolled systemic inflammatory response causes multiorgan dysfunction (MODS), as the most common immediate cause of death. Unfavorable outcome of the COVID-19 most often occurs in elderly patients. The aim of the study was to establish parameters with prognostic significance in severe cases of COVID-19 according to life years, laboratory markers of sepsis and MODS, as well as the number of peripheral CD4+ and CD8+T lymphocytes in 20 consecutively selected critically ill patients. Results: Eleven subjects were male, 9 female, mean age 73.45 ± 11.59, among which the oldest patient was 94 and the youngest 43 years. All the patients met the sepsis and MODS criteria. Increased age and low CD4+ and CD8+T cell counts were identified as independent predictors of death. Only the two youngest patients (43 and 50 years old) survived 28 days, and they are the only ones with a CD4 lymphocyte count above 500 cells/mm3. Conclusion: Senescence of the immune system is mostly characterized by reduced regenerative capacity of adaptive immunity with diminished ability to respond to new antigens and a manifested proinflammatory phenotype. Additional reduction of protective capacity by further deterioration of T cell quantity and quality due to sepsis itself and mutual interaction of senescent T cells and vascular endothelial cells in the induction of cytokine storm represent two complementary vicious cycles in the development of sepsis-related multiorgan dysfunction.

An audit of COVID-19 death reporting in counties Cork and Kerry, Ireland, winter 2021-2022

BACKGROUND

In Ireland, a 'COVID-19 death' is defined as any death in which the decedent was COVID-19 positive and had no clear alternative cause of death unrelated to COVID-19, a definition based on World Health Organization guidance.

AIMS

The objectives of this audit were to determine the proportion of COVID-19 deaths notified in the Cork/Kerry region of Ireland during winter 2021-2022 which adhered to this national definition, and to determine whether COVID-19 was deemed to be the primary cause of death, or a contributory or incidental factor.

METHODS

A review of all deaths in individuals who were COVID-19 positive at the time of death notified to the Department of Public Health for Cork and Kerry between 22 November 2021 and 31 January 2022 was conducted to determine whether each death adhered to the national COVID-19 death definition. The clinical opinion on cause of death was obtained by contacting decedents' clinicians.

RESULTS

Sixty deaths in individuals who were COVID-19 positive at the time of death were notified to the Department in the study period. Of deaths notified as being due to COVID-19, COVID-19 was deemed the primary cause of death, a contributory factor or an incidental factor in 72.7%, 21.8%, and 5.5% of cases, respectively. Most (93.3%) notified deaths adhered to the national COVID-19 death definition.

CONCLUSIONS

The COVID-19 death definition in Ireland may require revision so it can distinguish between deaths caused by COVID-19 and those in which COVID-19 played a less direct role. The current COVID-19 mortality reporting system may also need updating to capture more clinical nuance.

COVID-19 hospitalized patients and oral changes: a case-control study

OBJECTIVES

To investigate the association between hospitalization for COVID-19 and oral changes, and to evaluate whether oral changes can indicate a higher risk of disease progression to death.

MATERIALS AND METHODS

This case-control study analyzed patients hospitalized (university hospital), including those in intensive care unit and clinical wards. The study group comprised 69 COVID-19 positive patients (PCR-test), while the control group included 43 COVID-19 negative patients. A dentist performed oral evaluations, and salivary samples were collected for calcium, phosphatase, and pH analysis. Sociodemographic data, hospitalization information, and hematological test results were collected from electronic-medical records. The presence of oral changes was assessed using chi-square tests, and the predicted risk of death was analyzed using binary logistic regression.

RESULTS

COVID-19 positive patients had a significantly higher prevalence of oral changes compared to COVID-19 negative patients. The presence of any oral changes in COVID-19 positive patients indicated a 13-fold higher risk of mortality. "Bleeding ulcers," "pressure ulcers," and "angular cheilitis" were significantly associated with hospitalization for COVID-19.

CONCLUSION

There may be an association between hospitalization for COVID-19 and the development of oral changes, including bleeding ulcers, pressure ulcers. and angular cheilitis. These oral changes may serve as potential indicator for disease progression an increased risk of death.

CLINICAL RELEVANCE

COVID-19 hospitalized patients have a higher prevalence of oral changes, which indicate an increased risk of mortality. Oral medicine staff should be included in multidisciplinary teams to detect and treat these oral changes promptly.

Severe Acute Respiratory Syndrome Coronavirus 2 Vasculopathy in a Syrian Golden Hamster Model

Clinical evidence of vascular dysfunction and hypercoagulability as well as pulmonary vascular damage and microthrombosis are frequently reported in severe cases of human coronavirus disease 2019 (COVID-19). Syrian golden hamsters recapitulate histopathologic pulmonary vascular lesions reported in patients with COVID-19. Herein, special staining techniques and transmission electron microscopy further define vascular pathologies in a Syrian golden hamster model of human COVID-19. The results show that regions of active pulmonary inflammation in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are characterized by ultrastructural evidence of endothelial damage with platelet marginalization and both perivascular and subendothelial macrophage infiltration. SARS-CoV-2 antigen/RNA was not detectable within affected blood vessels. Taken together, these findings suggest that the prominent microscopic vascular lesions in SARS-CoV-2-inoculated hamsters likely occur due to endothelial damage followed by platelet and macrophage infiltration.

Quantitative proteomics analysis of COVID-19 patients: Fetuin-A and tetranectin as potential modulators of innate immune responses

Treatment of severe cases of coronavirus disease 2019 (COVID-19) is extremely important to minimize death and end-organ damage. Here we performed a proteomic analysis of plasma samples from mild, moderate and severe COVID-19 patients. Analysis revealed differentially expressed proteins and different therapeutic potential targets related to innate immune responses such as fetuin-A, tetranectin (TN) and paraoxonase-1 (PON1). Furthermore, protein changes in plasma showed dysregulation of complement and coagulation cascades in COVID-19 patients compared to healthy controls. In conclusion, our proteomics data suggested fetuin-A and TN as potential targets that might be used for diagnosis as well as signatures for a better understanding of the pathogenesis of COVID-19 disease.

Clinical Characteristics and Cause of Death Among Hospitalized Decedents With Cancer and COVID-19

There is scant information on the clinical progression, end-of-life decisions, and cause of death of patients with cancer diagnosed with COVID-19. Therefore, we conducted a case series of patients admitted to a comprehensive cancer center who did not survive their hospitalization. To determine the cause of death, 3 board-certified intensivists reviewed the electronic medical records. Concordance regarding cause of death was calculated. Discrepancies were resolved through a joint case-by-case review and discussion among the 3 reviewers. During the study period, 551 patients with cancer and COVID-19 were admitted to a dedicated specialty unit; among them, 61 (11.6%) were nonsurvivors. Among nonsurvivors, 31 (51%) patients had hematologic cancers, and 29 (48%) had undergone cancer-directed chemotherapy within 3 months before admission. The median time to death was 15 days (95% confidence interval [CI], 11.8 to 18.2). There were no differences in time to death by cancer category or cancer treatment intent. The majority of decedents (84%) had full code status at admission; however, 53 (87%) had do-not-resuscitate orders at the time of death. Most deaths were deemed to be COVID-19 related (88.5%). The concordance between the reviewers for the cause of death was 78.7%. In contrast to the belief that COVID-19 decedents die because of their comorbidities, in our study only 1 of every 10 patients died of cancer-related causes. Full-scale interventions were offered to all patients irrespective of oncologic treatment intent. However, most decedents in this population preferred care with nonresuscitative measures rather than full support at the end of life.

Normal high-sensitivity cardiac troponin for ruling-out inpatient mortality in acute COVID-19

INTRODUCTION

Assessment of inpatient mortality risk in COVID-19 patients is important for guiding clinical decision-making. High sensitivity cardiac troponin T (hs-cTnT) is a biomarker of cardiac injury associated with a worse prognosis in COVID-19. We explored how hs-cTnT could potentially be used in clinical practice for ruling in and ruling out mortality in COVID-19.

METHOD

We tested the diagnostic value of hs-cTnT in laboratory-confirmed COVID-19 patients (≥18 years old) admitted to the Royal Berkshire Hospital (UK) between 1st March and 10th May 2020. A normal hs-cTnT was defined as a value within the 99th percentile of healthy individuals (≤14 ng/L), and an elevated hs-cTnT was defined as >14 ng/L. Adverse clinical outcome was defined as inpatient mortality related to COVID-19.

RESULTS

A total of 191 COVID-19 patients (62% male; age 66±16 years) had hs-cTnT measured on admission. Of these patients, 124 (65%) had elevated hs-cTnT and 67 (35%) had normal hs-cTnT. On a group level, patients with elevated hs-cTnT had worse inpatient survival (p = 0.0014; Kaplan-Meier analysis) and higher risk of inpatient mortality (HR 5.84 [95% CI 1.29-26.4]; p = 0.02; Cox multivariate regression) compared to patients with normal hs-cTnT. On a per-patient level, a normal hs-cTnT had a negative predictive value of 94% (95% CI: 85-98%) for ruling out mortality, whilst an elevated hs-cTnT had a low positive predictive value of 38% (95% CI: 39-47%) for ruling in mortality.

CONCLUSIONS

In this study cohort of COVID-19 patients, the potential clinical utility of hs-cTnT appears to rest in ruling out inpatient mortality. This finding, if prospectively validated in a larger study, may allow hs-cTnT to become an important biomarker to facilitate admission-avoidance and early safe discharge.

An improved epidemiological-unscented Kalman filter (hybrid SEIHCRDV-UKF) model for the prediction of COVID-19. Application on real-time data

The prevalence of COVID-19 has been the most serious health challenge of the 21th century to date, concerning national health systems on a daily basis, since December 2019 when it appeared in Wuhan City. Nevertheless, most of the proposed mathematical methodologies aiming to describe the dynamics of an epidemic, rely on deterministic models that are not able to reflect the true nature of its spread. In this paper, we propose a SEIHCRDV model - an extension/improvement of the classic SIR compartmental model - which also takes into consideration the populations of exposed, hospitalized, admitted in intensive care units (ICU), deceased and vaccinated cases, in combination with an unscented Kalman filter (UKF), providing a dynamic estimation of the time dependent system's parameters. The stochastic approach is considered necessary, as both observations and system equations are characterized by uncertainties. Apparently, this new consideration is useful for examining various pandemics more effectively. The reliability of the model is examined on the daily recordings of COVID-19 in France, over a long period of 265 days. Two major waves of infection are observed, starting in January 2021, which signified the start of vaccinations in Europe providing quite encouraging predictive performance, based on the produced NRMSE values. Special emphasis is placed on proving the non-negativity of SEIHCRDV model, achieving a representative basic reproductive number R 0 and demonstrating the existence and stability of disease equilibria according to the formula produced to estimate R 0 . The model outperforms in predictive ability not only deterministic approaches but also state-of-the-art stochastic models that employ Kalman filters. Furthermore, the relevant analysis supports the importance of vaccination, as even a small increase in the dialy vaccination rate could lead to a notable reduction in mortality and hospitalizations.

A Case Report of Bowel Perforation in a Gravid COVID-19 Patient

Background

Bowel perforation in a pregnant patient with COVID-19 infection is a rarely reported complication. With the uncovering of the different treatment modalities and complications of this disease, this case highlights diagnostic and therapeutic dilemmas and limitations in a special population. Clinical Presentation. A 35-year-old female, Gravida 2 Para 1 at 31 weeks age of gestation (AOG) who underwent cesarean section for nonreassuring fetal status in 2019, was admitted for severe COVID-19 infection presenting with dyspnea. During her hospitalization, she developed progressive dyspnea from worsening of COVID-19 infection. Patient was eventually intubated and was given a total of two doses of tocilizumab, adequate antibiotic treatment, remdesivir, and dexamethasone. An emergency repeat cesarean section was performed due to maternal deterioration and poor variability of the fetus. She delivered to a live preterm baby girl, with an Apgar score of 1 and 7 on the 1st and 5th minute of life respectively. During the postoperative days, patient remained intubated and sedated. Increasing residuals were noted per nasogastric tube (NGT). Serial scout film of the abdomen (SFA) and medical management were performed. Upon weaning from sedation, patient complained of right lower quadrant pain. A whole abdominal computed tomography (CT) scan with contrast was requested which revealed large bowel obstruction. Patient was referred to surgery service. Upon assessment, abdomen was noted to be rigid with guarding during palpation. A scout film of the abdomen was requested and revealed extensive amount of pneumoperitoneum with scanty to absent colonic gas suggestive of bowel perforation. Patient underwent emergency exploratory laparotomy. Upon opening the peritoneum, free air was evacuated. Approximately 1.4 liters of fecaloid peritoneal fluid was suctioned and adhesive band was noted at the pelvic area. A 2 cm full thickness perforation at the cecum with 17 cm serosal tear from the cecum to ascending colon was noted. Bowel loops proximal to the perforation were dilated. Nasogastric tube was inserted for bowel decompression. Right hemicolectomy was performed. Specimen was sent for histopathology. Acute inflammatory cells infiltrating the blood vessels and possible microthrombi and beginning thrombus formation were noted in the subserosa. Patient eventually expired on the 14^th hospital day from sepsis.

Conclusion

This case highlights a rarely reported complication of COVID-19 infection. Confluence of factors that predisposed the patient include pregnancy, COVID-19 infection, use of tocilizumab, and recent surgery. High index of suspicion is vital in the management and improvement of outcomes.

Intestinal Fatty Acid Binding Protein (I-FABP) as a Prognostic Marker in Critically Ill COVID-19 Patients

Gastrointestinal symptoms are common in critically ill COVID-19 patients. There is currently no generally recognized method of assessing gastrointestinal injury in unconscious or sedated intensive care unit (ICU) patients. I-FABP (intestinal fatty acid binding protein) and citrulline have previously been studied as potential biomarkers of enterocyte damage in various gastrointestinal tract diseases, and changes in the levels of these markers may reflect intestinal wall damage in COVID-19. Patients with critical COVID-19, with diagnosed sepsis, or septic shock requiring ICU treatment were included in the study. Blood samples for citrulline and I-FABP were taken daily from day 1 to 5. I-FABP levels were significantly higher in patients who eventually died from COVID-19 than in survivors, and the optimal I-FABP cut-off point for predicting 28-day mortality was 668.57 pg/mL (sensitivity 0.739, specificity 0.765). Plasma levels of I-FABP, but not citrulline, were associated with significantly higher mortality and appeared to be a predictor of poor outcome in multivariate logistic regression analysis. In conclusion, I-FABP seems to be an effective prognostic marker in critically ill COVID-19 patients. Assessing mortality risk based on intestinal markers may be helpful in making clinical decisions regarding the management of intestinal injury, imaging diagnostics, and potential surgical interventions.

What is the impact of previous cerebrovascular disease on critical COVID-19 patients' mortality? A prospective cohort study

OBJECTIVES

We aimed to evaluate the effect of previous cerebrovascular disease (CVD) on mortality rates of critically ill COVID-19 patients.

MATERIALS & METHODS

A prospective cohort study was performed between May/2020 and May/2021, at a tertiary-care-center. We consecutively included adult patients admitted to intensive care units (ICU) having as primary diagnosis Acute Respiratory Distress Syndrome due to SARS-CoV-2, requiring invasive mechanical ventilation for >48 h. We considered as exposure the diagnosis of previous CVD and as main outcome the in-ICU mortality.

RESULTS

The study sample included 178 patients: 74.2% were males, with a mean age of 63 ± 12.4 years-old(yo). Previous CVD was documented in 17 patients (9.6%). During the study period, the mortality rate at ICU was of 33.1% (n = 59). The proportion of mortality at ICU was higher in patients with prior CVD (58.8% vs 30.4%; p = 0.02). Also, older patients (66 ± 11.4 yo vs. 62 ± 12.7 yo, p = 0.04) and those with higher score at SAPSII at ICU admission (47.8 ± 15.4 vs. 40.7 ± 15.9; p = 0.01) had a higher ICU deathrate. Patients with previous CVD had a 2.70 (95%CI = 1.36-5.39) higher likelihood of dying compared to those who had no previous CVD. After adjustment (for gender, age, SAPSII and total length of stay), multivariate Cox analysis revealed that previous CVD remained a strong predictor for in-ICU death in critically ill COVID-19 patients (HR = 2.51; 95%CI = 1.15-5.51).

CONCLUSIONS

Previous CVD was significantly associated to higher mortality in critical COVID-19 patients. We suggest that, in patients with previous CVD, prioritization of vaccination strategies should be implemented alongst with higher surveillance when infected with SARS-CoV-2.

Public awareness and knowledge of sepsis: a cross-sectional survey of adults in Canada

Background

Sepsis is a life-threatening complication of the body’s response to infection. The financial, medical, and psychological costs of sepsis to individuals and to the healthcare system are high. Most sepsis cases originate in the community, making public awareness of sepsis essential to early diagnosis and treatment. There has been no comprehensive examination of adult’s sepsis knowledge in Canada.

Methods

We administered an online structured survey to English- or French-literate adults in Canada. The questionnaire comprised 28 questions in three domains: awareness, knowledge, and information access. Sampling was stratified by age, sex, and geography and weighted to 2016 census data. We used descriptive statistics to summarize responses; demographic differences were tested using the Rao–Scott correction for weighted chi-squared tests and associations using multiple variable regression.

Results

Sixty-one percent of 3200 adults sampled had heard of sepsis. Awareness differed by respondent’s residential region, sex, education, and ethnic group (p < 0.001, all). The odds of having heard of sepsis were higher for females, older adults, respondents with some or completed college/university education, and respondents who self-identified as Black, White, or of mixed ethnicity (p < 0.01, all). Respondent’s knowledge of sepsis definitions, symptoms, risk factors, and prevention measures was generally low (53.0%, 31.5%, 16.5%, and 36.3%, respectively). Only 25% of respondents recognized vaccination as a preventive strategy. The strongest predictors of sepsis knowledge were previous exposure to sepsis, healthcare employment, female sex, and a college/university education (p < 0.001, all). Respondents most frequently reported hearing about sepsis through television (27.7%) and preferred to learn about sepsis from healthcare providers (53.1%).

Conclusions

Sepsis can quickly cause life-altering physical and psychological effects and 39% of adults sampled in Canada have not heard of it. Critically, a minority (32%) knew about signs, risk factors, and strategies to lower risk. Education initiatives should focus messaging on infection prevention, employ broad media strategies, and use primary healthcare providers to disseminate evidence-based information. Future work could explore whether efforts to raise public awareness of sepsis might be bolstered or hindered by current discourse around COVID-19, particularly those centered on vaccination.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13054-022-04215-6.

Impact of Vaccination and Control Measures on the Fatality of COVID-19: An Ecological Study

Background

During the COVID-19 pandemic, reducing the case fatality rate (CFR) becomes an urgent goal.

Objective

This study explored the effect of vaccination and variants on COVID-19 fatality and provide a basis for the adjustment of control measures.

Methods

This study collected epidemiological information on COVID-19 from January to October 2021. By setting different lag times, we calculated the adjusted CFR. The Spearman correlation coefficient and beta regression were used to explore factors that may affect COVID-19 fatality.

Results

Every 1% increase in the percentage of full vaccinations may reduce the 3 weeks lagging CFR by 0.66%. Increasing the restrictions on internal movement from level 0 to 1, restrictions on international travel controls from level 2 to 3, and stay-at-home restrictions from level 0 to 2 were associated with an average reduction in 3 weeks lagging CFR of 0.20%, 0.39%, and 0.36%, respectively. Increasing strictness in canceling public events from level 0 to 1 and 2 may reduce the 3 weeks lagging CFR by 0.49% and 0.37, respectively. Increasing the severity of school and workplace closures from level 1 or level 0 to 3 may increase the 3 weeks lagging CFR of 0.39% and 0.83, respectively. Every 1-point increase in the Global Health Security (GHS) index score may increase the 3 weeks lagging CFR by 0.12%.

Conclusion

A higher percentage of full vaccinations, higher levels of internal movement restrictions, international travel control restrictions, cancelations of public events, and stay-at-home restrictions are factors that may reduce the adjusted CFR.

Risk Assessment of COVID-19 Infection among the Elderly Population

Introduction:Elderly patients are susceptible to COVID-19 infection. They usually present with atypical symptoms and multiple organ dysfunction. The poor outcome in elderly patients is due to multiple comorbidities, declining functional status, and frailty. This study aimed to assess the risk profile of COVID-19 infection in the elderly population. Materials and methods:Patients aged 60 years and above with COVID-19 positive by RT-PCR were included in the study. Patients' demographic data, co-morbidities and severity of illness, complete hemogram, blood sugar, renal, liver function test, lactate dehydrogenase, interleukin-6, ferritin, D-dimer were noted. Patients' outcome in terms of survival was observed. Results:The total count, neutrophil lymphocyte ratio, ESR, urea, creatinine, interleukin 6, D-dimer, and blood sugar value were significantly associated with non-survival even after adjustment for age and gender. Complications such as acute kidney injury (AKI), renal failure, acute respiratory distress syndrome, multiorgan dysfunction syndrome (MODS), and World Health Organization (WHO) severity were also associated with non-survival before and after adjustment for age and gender. On Cox regression survival analysis, . three co-morbidities had hazard ratio (HR) of 54.36 [95% CI 3.66 to 807.01], WHO severity had HR of 31.09 [95% CI 1.31 to 738.22], MODS had HR of 16.97 [95% CI 2.86 to 100.39], creatinine had HR of 8.44 [95% CI 1.99 to 35.77], AKI had HR of 6.71 [95% CI 1.11 to 40.56]. Conclusion:In elderly patients with COVID-19 infection, the presence of at least three co-morbidities, severity of infection by WHO criteria and presence of complications such as MODS, elevated creatinine and AKI were predictors of the survival rate and mortality.

Clinical update on COVID-19 for the emergency clinician: Airway and resuscitation

INTRODUCTION

Coronavirus disease of 2019 (COVID-19) has resulted in millions of cases worldwide. As the pandemic has progressed, the understanding of this disease has evolved.

OBJECTIVE

This narrative review provides emergency clinicians with a focused update of the resuscitation and airway management of COVID-19.

DISCUSSION

Patients with COVID-19 and septic shock should be resuscitated with buffered/balanced crystalloids. If hypotension is present despite intravenous fluids, vasopressors including norepinephrine should be initiated. Stress dose steroids are recommended for patients with severe or refractory septic shock. Airway management is the mainstay of initial resuscitation in patients with COVID-19. Patients with COVID-19 and ARDS should be managed similarly to those ARDS patients without COVID-19. Clinicians should not delay intubation if indicated. In patients who are more clinically stable, physicians can consider a step-wise approach as patients' oxygenation needs escalate. High-flow nasal cannula (HFNC) and non-invasive positive pressure ventilation (NIPPV) are recommended over elective intubation. Prone positioning, even in awake patients, has been shown to lower intubation rates and improve oxygenation. Strategies consistent with ARDSnet can be implemented in this patient population, with a goal tidal volume of 4-8 mL/kg of predicted body weight and targeted plateau pressures <30 cm H₂O. Limited data support the use of neuromuscular blocking agents (NBMA), recruitment maneuvers, inhaled pulmonary vasodilators, and extracorporeal membrane oxygenation (ECMO).

CONCLUSION

This review presents a concise update of the resuscitation strategies and airway management techniques in patients with COVID-19 for emergency medicine clinicians.

Incidence of Death and Its Predictors of COVID-19 in Amhara Region, Ethiopia: A Retrospective Follow Up Study

Background

Risk factors associated with COVID-19 incidence of death would aid to notify the most favorable management strategies, hang about undecided, Moreover, studies regarding this issue are limited in Ethiopia and no region-wise study is conducted. Hence, the study investigated the COVID-19 incidence of death and its predictors in the Amhara regional state, Ethiopia.

Methods

A facility-based retrospective survey was conducted at all Amhara regional state COVID-19 treatment centers from 13 March 2020, through 13 January 2022. Epidata version 3.1 and STATA version 14 were used for data entry and analysis, respectively. Linearized survey analysis in a stratified Cox regression model was fitted to identify independent risk factors. P-value with 95% CI for hazard ratio was used for testing the significance at alpha 0.05.

Results

A total of 28,533 study participants were analyzed in this study. Of these, 2873 (11.2%) died and 25,660 (88.8%) were recovered from COVID-19. The death rate was 11.78 per 1000 person-days of observation with a median survival time of 32 days with IQR [12, 44]. Patients with co-morbidities (AHR = 1.54: 95% CI: 1.51–1.55), patients with age <5-year (AHR = 1.69: 95% CI: 1.78–1.81) and patients with age 60+ years (AHR = 2.91: 95% CI: 1.79–3.99), patients with asymptomatic diseases condition (AHR =1.15: 95% CI: 1.01–1.19), and being male (AHR = 1.22: 95% CI: 1.18–1.27) were independent significant risk factors of death from COVID-19.

Conclusion

A relatively high incidence of death from COVID-19 was found in this study. Significant risk factors were identified as patients with age <5 years, patients with age 60+ Years, being male, patients having at least one comorbid condition, and patients with asymptomatic disease conditions. These factors should be taken into consideration for a strategy of quarantining and treating COVID-19 patients.

Dynamic of Serum TWEAK Levels in Critically Ill COVID-19 Male Patients

Although the number of cases and mortality of COVID-19 are seemingly declining, clinicians endeavor to establish indicators and predictors of such responses in order to optimize treatment regimens for future outbreaks of SARS-CoV-2 or similar viruses. Considering the importance of aberrant immune response in severe COVID-19, in the present study, we aimed to explore the dynamic of serum TNF-like weak inducer of apoptosis (TWEAK) levels in critically-ill COVID-19 patients and establish whether these levels may predict in-hospital mortality and if TWEAK is associated with impairment of testosterone levels observed in this population. The present single-center cohort study involved 66 men between the ages of 18 and 65 who were suffering from a severe type of COVID-19. Serum TWEAK was rising during the first week after admission to intensive care unit (ICU), whereas decline to baseline values was observed in the second week post-ICU admission (p = 0.032) but not in patients who died in hospital. Receiver-operator characteristics analysis demonstrated that serum TWEAK at admission to ICU is a significant predictor of in-hospital mortality (AUC = 0.689, p = 0.019). Finally, a negative correlation was found between serum TWEAK at admission and testosterone levels (r = −0.310, p = 0.036). In summary, serum TWEAK predicts in-hospital mortality in severe COVID-19. In addition, inflammatory pathways including TWEAK seem to be implicated in pathophysiology of reproductive hormone axis disturbance in severe form of COVID-19.

Impaired fibrinolysis in severe Covid-19 infection is detectable in early stages of the disease

BACKGROUND

A significant degree of mortality and morbidity in Covid-19 is due to thromboembolic disease. Coagulopathy has been well described in critically unwell patients on ICU. There is less clear evidence regarding these changes at the time of presentation to the Emergency Department and the progression of disease over time.

OBJECTIVE

We sought to investigate whether coagulation markers can predict severity and how they change over the disease course.

METHODS

Patients presenting to a single University Teaching Hospital were recruited and followed up if PCR was positive. Alongside routine blood testing, Rotational Thromboelastometry (ROTEM) was performed. Outcome data was recorded for all patients, and ROTEM values were compared across outcome groups.

RESULTS

Extem and Intem Maximum Lysis were significantly reduced in those who died or required an ICU admission, indicating a reduced ability to break down clot mass in the most critically unwell patients.

CONCLUSION

Comparisons between groups demonstrated that one distinguishing feature between those who require ICU admission or die of Covid-19 compared with those who survive a hospital stay to discharge was the extent to which fibrinolysis could occur. Mortality and morbidity in Covid-19 infection appears in part driven by an inability to break down clot mass.

Time-series analysis of multidimensional clinical-laboratory data by dynamic Bayesian networks reveals trajectories of COVID-19 outcomes

BACKGROUND AND OBJECTIVE

COVID-19 severity spans an entire clinical spectrum from asymptomatic to fatal. Most patients who require in-hospital care are admitted to non-intensive wards, but their clinical conditions can deteriorate suddenly and some eventually die. Clinical data from patients' case series have identified pre-hospital and in-hospital risk factors for adverse COVID-19 outcomes. However, most prior studies used static variables or dynamic changes of a few selected variables of interest. In this study, we aimed at integrating the analysis of time-varying multidimensional clinical-laboratory data to describe the pathways leading to COVID-19 outcomes among patients initially hospitalised in a non-intensive care setting.

METHODS

We collected the longitudinal retrospective data of 394 patients admitted to non-intensive care units at the University Hospital of Padova (Padova, Italy) due to COVID-19. We trained a dynamic Bayesian network (DBN) to encode the conditional probability relationships over time between death and all available demographics, pre-existing conditions, and clinical laboratory variables. We applied resampling, dynamic time warping, and prototyping to describe the typical trajectories of patients who died vs. those who survived.

RESULTS

The DBN revealed that the trajectory linking demographics and pre-existing clinical conditions to death passed directly through kidney dysfunction or, more indirectly, through cardiac damage. As expected, admittance to the intensive care unit was linked to markers of respiratory function. Notably, death was linked to elevation in procalcitonin and D-dimer levels. Death was associated with persistently high levels of procalcitonin from admission and throughout the hospital stay, likely reflecting bacterial superinfection. A sudden raise in D-dimer levels 3-6 days after admission was also associated with subsequent death, possibly reflecting a worsening thrombotic microangiopathy.

CONCLUSIONS

This innovative application of DBNs and prototyping to integrated data analysis enables visualising the patient's trajectories to COVID-19 outcomes and may instruct timely and appropriate clinical decisions.

Outcomes of Patients With Active Cancer and COVID-19 in the Intensive-Care Unit: A Multicenter Ambispective Study

Background

Several studies report an increased susceptibility to SARS-CoV-2 infection in cancer patients. However, data in the intensive care unit (ICU) are scarce.

Research Question

We aimed to investigate the association between active cancer and mortality among patients requiring organ support in the ICU.

Study Design and Methods

In this ambispective study encompassing 17 hospitals in France, we included all adult active cancer patients with SARS-CoV-2 infection requiring organ support and admitted in ICU. For each cancer patient, we included 3 non cancer patients as controls. Patients were matched at the same ratio using the inverse probability weighting approach based on a propensity score assessing the probability of cancer at admission. Mortality at day 60 after ICU admission was compared between cancer patients and non-cancer patients using primary logistic regression analysis and secondary multivariable analyses.

Results

Between March 12, 2020 and March 8, 2021, 2608 patients were admitted with SARS-CoV-2 infection in our study, accounting for 2.8% of the total population of patients with SARS-CoV-2 admitted in all French ICUs within the same period. Among them, 105 (n=4%) presented with cancer (51 patients had hematological malignancy and 54 patients had solid tumors). 409 of 420 patients were included in the propensity score matching process, of whom 307 patients in the non-cancer group and 102 patients in the cancer group. 145 patients (35%) died in the ICU at day 60, 59 (56%) with cancer and 86 (27%) without cancer. In the primary logistic regression analysis, the odds ratio for death associated to cancer was 2.3 (95%CI 1.24 - 4.28, p=0.0082) higher for cancer patients than for a non-cancer patient at ICU admission. Exploratory multivariable analyses showed that solid tumor (OR: 2.344 (0.87-6.31), p=0.062) and hematological malignancies (OR: 4.144 (1.24-13.83), p=0.062) were independently associated with mortality.

Interpretation

Patients with cancer and requiring ICU admission for SARS-CoV-2 infection had an increased mortality, hematological malignancy harboring the higher risk in comparison to solid tumors.

Global Research Status of Multiple Organ Dysfunction Syndrome During 2001-2021: A 20-Year Bibliometric Analysis

Background

Multiple Organ Dysfunction Syndrome (MODS) is a major cause of high morbidity and mortality among patients in intensive care units (ICU). Although numerous basic and clinical researches on MODS have been conducted, there is still a long way to go to prevent patients from entering this stage. To our knowledge, no bibliometric analyses of MODS have been reported, this study, therefore, was conducted to reveal MODS research status and trends during 2001–2021.

Methods

All relevant literature covering MODS during 2001–2021 were extracted from Web of Science. An online analysis platform of literature metrology was used to analyze the publication trends. VOSviewer software was used to collect and analyze the keywords and research hotspots related to MODS.

Results

As of July 31, 2021, a total of 994 MODS-related articles from 2001 to 2021 were identified. The United States accounted for the largest number of publications (31.1%), followed by China and Germany, with 186 and 75 publications, respectively. Among all the institutions, the University of Pittsburgh published the most papers related to MODS (21). Critical Care Medicine published the most papers in this field (106). Professor Moore EE, who had the most citation frequency (1847), made great achievements in MODS research. Moreover, analysis of the keywords identified three MODS research hotspot clusters: “mechanism-related research,” “clinical research,” and “diagnostic research.”

Conclusions

The United States maintained a top position worldwide and made the most outstanding contribution in the MODS field. In terms of publication, China was next only to the United States, but there was a disproportion between the quantity of publications and citation frequency. The institution University of Pittsburgh and journal Critical Care Medicine represent the highest level of research in this field. During the 20 years from 2001 to 2021, basic MODS research has been in-depth yet progressed relatively slowly recently, but the outbreak of COVID-19 has to some extent set off an upsurge of clinical research in MODS field.

National early warning score (NEWS) 2 predicts hospital mortality from COVID-19 patients

Background

COVID-19 has a high risk of mortality, especially in patients with comorbid diseases such as cardiac disease, type 2 diabetes mellitus, chronic kidney disease, and hypertension. The National Early Warning Score (NEWS) is a tool that helps in identifying changes in patient conditions that require intensive treatment.

Objective

Analyzing NEWS-2 to identify the risk of death in COVID-19 patients.

Methods

This research was conducted from June to July 2020 by using quota sampling. The number of participants in this study was 112 participants (case group = 56 participants and control group = 56 participants). Participants were assessed for NEWS-2 and evaluated for their treatment outcomes. The analysis used in this study was the Chi-squared test and logistic regression with p < 0.05.

Results

45 participants died of having NEWS-2 score >5, and as many as 50 participants showed an improvement in their condition by having NEWS-2 score 5 (OR = 34.091; p < 0.001). The accuracy of NEWS-2's assessment of mortality of COVID-19 patients had a sensitivity of 80.4% and a specificity of 89.3%. There were several comorbid diseases that had a significant relationship on mortality of COVID-19 patients such as cardiac disease (β = 5.907; 1.107-31.527 95% CI; p = 0.038), T2DM (β = 3.143; 1.269-7.783 95% CI; p = 0.013), CKD (β = 3.851; 1.195-12.416 95% CI; p = 0.024), and hypertension (β = 2.820; 1.075-7.399 95% CI; p = 0.035).

Conclusion

The NEWS-2 can be used to identify the risk of death of COVID-19 patients.

Elevated Risk of Chronic Respiratory Conditions within 60 Days of COVID-19 Hospitalization in Veterans

SARS-CoV-2 infection prominently affects the respiratory system, and patients hospitalized with COVID-19 are at an increased risk of developing respiratory conditions. We examined the risk of new respiratory conditions of COVID-19 among hospitalized patients in the national Veterans Health Administration between 15 February 2020 and 16 June 2021. The study cohort included all COVID-19-tested, hospitalized individuals who survived the index admission and did not have any previously diagnosed chronic respiratory conditions (asthma, bronchitis, chronic lung disease, chronic obstructive pulmonary disease (COPD), emphysema, or venous thromboembolism) before SARS-CoV-2 testing. Of 373,048 patients hospitalized after SARS-CoV-2 testing, 18,686 positive and 37,372 negative patients met the inclusion/exclusion criteria and were matched by age, sex, and race using propensity score matching. The results showed that the SARS-CoV-2 positive group had a greater risk of developing asthma (adjusted odds ratio (aOR) = 1.37), bronchitis (aOR = 2.81), chronic lung disease (aOR = 2.14), COPD (aOR = 1.56), emphysema (aOR = 1.52), and venous thromboembolism (aOR = 1.92) within 60 days after the index COVID date of testing. These findings could inform that the clinical care team considers a risk of new respiratory conditions and address these conditions in the post-hospitalization management of the patient, which could potentially lead to reduce the risk of complications and optimize recovery.