COVID-19 Pneumonia Research Articles

Association of the C3953T (rs1143634) variant of the interleukin 1 beta gene with the features of a complicated course of COVID-19-associated pneumonia.

The pro-inflammatory cytokine IL-1 plays an important role in severe COVID-19. A change in IL-1 production may be associated with a mutation in the IL1Β gene. Our study analyzed the impact of the IL1Β gene variants (rs1143634) on disease progression in patients with severe COVID-19 pneumonia, taking into account treatment strategies. The study enrolled 117 patients with severe COVID-19 pneumonia. The IL1Β gene variants were identified using the polymerase chain reaction-restriction fragment length polymorphism method. In the group of patients, the following genotype frequencies were found based on the investigated rs1143634 variant of the IL1Β gene: CC-65.8%, CT-28.2%, and TT-6.0%. Our results showed that the group of patients with the T allele of the IL1Β gene had higher leukocyte counts (p = 0.040) and more pronounced lymphopenia (p = 0.007). It was determined that patients carrying the T allele stayed on ventilators significantly longer (p = 0.049) and required longer treatment with corticosteroids (p = 0.045). Identifying variants of the IL1Β gene can be used as a predictive tool for assessing the severity of COVID-19 pneumonia and tailoring personalized treatment strategies. Further research with a larger patient cohort is required to validate these findings.

The lethal K18-hACE2 knock-in mouse model mimicking the severe pneumonia of COVID-19 is practicable for antiviral development

ABSTRACT Animal models of COVID-19 facilitate the development of vaccines and antivirals against SARS-CoV-2. The efficacy of antivirals or vaccines may differ in different animal models with varied degrees of disease. Here, we introduce a mouse model expressing human angiotensin-converting enzyme 2 (ACE2). In this model, ACE2 with the human cytokeratin 18 promoter was knocked into the Hipp11 locus of C57BL/6J mouse by CRISPR – Cas9 (K18-hACE2 KI). Upon intranasal inoculation with high (3 × 105 PFU) or low (2.5 × 102 PFU) dose of SARS-CoV-2 wildtype (WT), Delta, Omicron BA.1, or Omicron BA.2 variants, all mice showed obvious infection symptoms, including weight loss, high viral loads in the lung, and interstitial pneumonia. 100% lethality was observed in K18-hACE2 KI mice infected by variants with a delay of endpoint for Delta and BA.1, and a significantly attenuated pathogenicity was observed for BA.2. The pneumonia of infected mice was accompanied by the infiltration of neutrophils and pulmonary fibrosis in the lung. Compared with K18-hACE2 Tg mice and HFH4-hACE2 Tg mice, K18-hACE2 KI mice are more susceptible to SARS-CoV-2. In the antivirals test, REGN10933 and Remdesivir had limited antiviral efficacies in K18-hACE2 KI mice upon the challenge of SARS-CoV-2 infections, while Nirmatrelvir, monoclonal antibody 4G4, and mRNA vaccines potently protected the mice from death. Our results suggest that the K18-hACE2 KI mouse model is lethal and stable for SARS-CoV-2 infection, and is practicable and stringent to antiviral development.

Evaluating Pharmacy Students’ Teamwork Attitudes in Virtual COVID-19 Emergency Department Simulations: A Pilot Study

ObjectiveThis study explores the impact of virtual simulation training on the transformation of teamwork attitudes among pharmacy students in a simulated severe COVID-19 pneumonia scenario in the emergency department. MethodsFrom July 2022 to January 2023, 16 pharmacy students, along with other health care students, participated in interprofessional simulation rounds. Each pharmacy student was assigned specific days for participation, using either a 3-dimensional computer or a virtual reality headset to manage a patient with severe COVID-19 pneumonia in the virtual emergency department. The TeamSTEPPS Teamwork Attitudes Questionnaire (T-TAQ) was used for pre- and post-training assessments. ResultsThe mean baseline T-TAQ score was 119.44 ± 10.63, showing a significant post-training improvement to a mean score of 130.88 ± 8.98 (Hedges’ g = 1.52). Stratification by academic year and device type revealed no significant impact on the learning experience. Remarkable enhancements in teamwork attitudes were observed after training, specifically in team structure, situation monitoring, mutual support, and communication domains. ConclusionThese findings indicate that virtual simulation training in scenarios such as severe COVID-19 effectively augments teamwork attitudes among pharmacy students, preparing them for collaborative practice in high-stakes emergency medicine settings.

The impact of diabetes mellitus on morbidity and mortality in patients with covid-19 pneumonia. retrospective study

The impact of diabetes mellitus on morbidity and mortality in patients with covid-19 pneumonia. retrospective study

The impact of different corticosteroids in hospitalised patients with severe COVID-19 pneumonia: a retrospective observational study

Background: The COVID-19 pandemic created havoc on health care systems and economies worldwide. Corticosteroids have been shown to be effective in the management of COVID-19. Methods: A retrospective observational study was conducted on 311 patients meeting the inclusion criteria at the Augustus Long Hospital, Trinidad and Tobago between July-December 2021. Data was classified into three treatment groups: low dose dexamethasone, high dose dexamethasone and methylprednisolone pulse therapy. The primary outcomes were the 28-day mortality and need for invasive mechanical ventilation and the secondary outcome was the length of hospital stay. The patient cohort was also classified into simple oxygen and high flow oxygen groups and a subgroup analysis was also performed. Results: There were no significant statistical differences between age, gender, vaccination status and co-morbidities between the treatment groups. However, there were significant differences in the ethnic ratios amongst the high dose dexamethasone and methylprednisolone treatment groups (East Indians to Africans; 61.7%vs. 37%; 72.9% vs.25.4% respectively; p=0.02). In patients receiving simple oxygen on admission, those who were treated with low dose dexamethasone when compared to high dose dexamethasone and methylprednisolone, had the lowest 28-day mortality (15.3% vs. 40.9% vs. 40% respectively; p< 0.001), lowest need for IMV (0.7% vs. 9.1% vs. 40% respectively; p< 0.001) and the shortest length of hospital stay (median [IQR] days; 7[12-5], 11[22-7], 16[27-14] respectively; p< 0.001). In patients receiving high flow oxygen, those treated with methylprednisolone had the lowest 28-day mortality (45.8%), when compared to the high dose dexamethasone (59.5%) and low dose dexamethasone (81%) groups; however, these results were not statistically significant (p = 0.053). Conclusion: In our study, patients receiving simple oxygen had better clinical outcomes when treated with low dose dexamethasone compared to higher dose corticosteroids. Methylprednisolone pulse therapy may be beneficial in patients requiring high flow oxygen; but further studies are needed.

Comparative analysis of clinical, bioelectrical and ultrasound characteristics in a cohort of post-critical patients after severe pneumonia covid-19, according to serum vitamin d levels

Comparative analysis of clinical, bioelectrical and ultrasound characteristics in a cohort of post-critical patients after severe pneumonia covid-19, according to serum vitamin d levels

The role of pre-onset hair hormone in predicting the prognosis of patients with severe pneumonia and acute COVID-19 outbreak

Numerous research works have investigated the potential impact of endocrine hormones on the severity of COVID-19-related pneumonia in individuals. However, there are few studies on the effect of pre-onset neuroendocrine hormones on the prognosis of COVID-19 patients. This study looked into the prognostic value of pre-onset hair hormone levels in COVID-19 infected individuals. This study included 27 patients with COVID-19 and collected patient information and laboratory indicators. The hormone levels in hair were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Within 28 days, 63 % of the patients in this study passed away. With 28-day mortality as the outcome index, urea nitrogen, CURB-65 score and pneumonia severity score (PSI) of 2 groups were statistically significant (P < 0.05). Among all hormone levels detected in hair, only progesterone level was substantially correlated negatively with COVID-19 patients' 28-day mortality(P < 0.05). The level of progesterone in hair was substantially adversely connected with the death rate at 28 days of COVID-19 patients, according to correlation and logistic regression analysis(P < 0.05). Among patients with COVID-19 pneumonia, hair progesterone levels were strongly associated with 28-day mortality, which emphasizes hair progesterone's importance as a prognostic factor.

Remdesivir versus Favipiravir in Hospitalized Patients with Moderate to Severe COVID-19 Pneumonia: A Propensity Score-Matched Retrospective Cohort Study.

Remdesivir treatment was associated with a reduced 28-day mortality and recovery time among patients hospitalized with severe COVID-19. Favipiravir is broadly used to treat COVID-19. However, various studies have had conflicting results on the efficacy of favipiravir for COVID-19. We hypothesized that remdesivir is more effective in clinical outcomes regarding the 29-day mortality rates, length of stay, and recovery rate than favipiravir in patients with moderate to severe COVID-19 pneumonia. We performed a retrospective cohort study that included adult hospitalized COVID-19 pneumonia patients with hypoxemia. Patients were classified into two groups according to the antiviral drugs. Age, oxygen saturation, fraction of inspired oxygen, and Charlson comorbidity index were used for propensity score matching. The primary objective was to determine whether the type of antiviral agent is associated with 29-day mortality. Other outcomes were the 15-day recovery rate and the length of intensive care unit or hospital stay. A total of 249 patients with moderate to severe COVID-19 pneumonia were included. With an adjustment for propensity score-matched, there were 204 patients for further analysis (102 patients in each antiviral drug group). Remdesivir patients had higher Radiographic Assessment of Lung Edema (RALE) scores on Chest X-ray (14.32±9.08 vs 11.34±8.46; standardized mean difference =33.9%). The Charlson Comorbidity Index Scores were comparable. The prevalences of diabetes, obesity, hypertension, and non-HIV immunocompromised state were higher in the remdesivir group. Regarding the primary outcomes, after adjusting by diabetes, obesity, and RALE score, there was no difference in the 29-day mortality rate between both groups [26 patients (25.5%) in the remdesivir group vs 28 patients (27.5%) in the favipiravir group]. The Kaplan-Meier curve analysis at 29 days indicated no significant difference in cumulative survival rate. The two groups' adjusted hazard ratio was 0.72; 95% CI, 0.41 to 1.25, p=0.24. A Kaplan-Meier analysis on the 15-day cumulative survival rate observed a trend towards a higher survival rate in the remdesivir group (adjusted hazard ratio 0.41; 95% CI, 0.20 to 0.84; p= 0.02) The proportion of patients who recovered on day 15, the length of intensive care unit(ICU) stays, and the hospital stay were not different between remdesivir and favipiravir groups (62 patients (60.8%) vs 56 patients (54.9%), p=0.39; 11.48 ± 11.88 days vs 10.87 ± 9.31 days, p=0.69; and 16.64±14.28 days vs 16.59 ±11.31 days, p=0.98, respectively). In patients with moderate to severe COVID-19 pneumonia, Remdesivir did not demonstrate superior benefits over Favipiravir regarding 29-day mortality, 15-day recovery rates, or hospital and ICU stay lengths. However, further investigation into the 15-day cumulative survival rate revealed a trend towards improved survival in the Remdesivir group.

Effect of IL-6R blockade on plasma lipids and clinical outcomes among hospitalized patients with COVID-19 infection

Plasma lipid levels are modulated by systemic infection and inflammation; it is unknown whether these changes reflect inflammatory responses or caused directly by pathogen presence. We explored the hypothesis that anti-inflammatory intervention via interleukin 6 receptor (IL-6R) blockade would influence plasma lipid levels during severe infection and evaluated the association of plasma lipid changes with clinical outcomes. Sarilumab (monoclonal antibody blocking IL-6R) efficacy was previously assessed in patients with coronavirus disease 2019 (COVID-19) (NCT04315298). This analysis determined whether strong inflammatory reduction by sarilumab in patients with COVID-19 pneumonia of increasing severity (severe, critical, multisystem organ dysfunction) affected plasma lipid changes between day 1 and day 7 of study therapy. Baseline lipid levels reflected the presence of acute systemic infection, characterized by very low HDL-C, low LDL-C, and moderately elevated triglycerides (TGs). Disease severity was associated with progressively more abnormal lipid levels. At day 7, median lipid levels increased more in the sarilumab versus placebo group (HDL-C +10.3%, LDL-C +54.7%, TG +32% vs. HDL-C +1.7%, LDL-C +15.4%, TG +8.8%, respectively). No significant association between lipid changes and clinical outcomes was observed. In conclusion, severe-to-critical COVID-19 pneumonia causes profound HDL-C depression that is only modestly responsive to strong anti-IL-6R inflammatory intervention. Conversely, LDL-C depression is strongly responsive to IL-6R blockade, with LDL-C levels likely returning to the predisease set point. These results advance our understanding of the complex relationship between serum lipids and infection/inflammation and suggest that HDL-C depression during acute contagious disease is driven by infection and not IL-6–mediated inflammation.

Chronic Chest Computed Tomography Findings Following COVID-19 Pneumonia

Respiratory symptoms are a frequent manifestation of patients with post-acute sequela of SARS-CoV-2 (PASC), also known as long-COVID. Many cohorts of predominantly hospitalized patients have shown that a significant subset may have persistent chest CT findings for more than 12 months after the acute infection. Proper understanding of the evolving long-term imaging findings and terminology is crucial for accurate imaging interpretation and patient care. The goal of this article is to review the chronic chest CT findings of patients with PASC and common pitfalls.

The Impact of Early Pulmonary Rehabilitation on Dyspnea, Quality of Life, and Symptoms in Moderate to Severe COVID-19 Pneumonia Patients

Introduction: COVID-19 pneumonia leads to dyspnea, persistent symptoms and poor quality of life. Inpatient pulmonary rehabilitation (PR) has limited evidence of effectiveness. Therefore, we aimed to determine the effect of a comprehensive inpatient PR program on dyspnea symptoms and quality of life in patients with COVID-19 pneumonia. Methods: A group pretest-posttest design was conducted in patients with COVID-19 pneumonia. Comprehensive PR was administered during hospitalization. Baseline dyspnea index (BDI), Transitional dyspnea score (TDI), Modified Medical Research Council score (mMRC), and St. George’s Respiratory Questionnaire (SGRQ) were assessed at baseline, 4th week and 12th week after discharge. Results: In total, 28 patients were included (9 with oxygen supplementation, 19 without oxygen supplementation). The mean BDI at baseline was 7.82 ± 2.13. TDI scores at the 4th and 12th weeks were 5.14 ± 1.90 and 6.61 ± 1.59, respectively, with a significant difference observed between the 4th and 12th weeks (p &lt; 0.001). Median mMRC scores at baseline, 4th week, and 12th week were 2(1.25 - 3), 1 (1 - 2) and 1 (0 - 1), respectively, showing a significant improvement between baseline vs 4th week, baseline vs 12th week, and 4th week vs 12th week (p &lt; 0.001). The total SGRQ score exhibited a median (IQR) of 11.34 (7.88 - 8.58) at the 4th week and 6.93 (4.43 - 13.03) at the 12th week, demonstrating a statistically significant improvement (p &lt; 0.001). No adverse events were reported during inpatient PR. Conclusion: Inpatient PR provides a safe and feasible profile, reduces dyspnea symptoms, and improves the quality of life in patients with moderate to severe COVID-19 pneumonia. HIGHLIGHTS COVID-19 pneumonia results in dyspnea and persistent symptoms, impacting quality of life. Early pulmonary rehabilitation, from inpatient to a 12-week outpatient program for moderate and severe cases, is safe and improves dyspnea, quality of life, and patient reported symptoms. GRAPHICAL ABSTRACT

Chest CT Scan Findings in Children with COVID-19: A Systematic Review.

To gather, summarize, and appraise the available evidence on: 1) the accuracy of chest CT scan in diagnosing COVID-19 among children, and 2) the characteristic chest CT scan findings associated with COVID-19 pneumonia in children. We comprehensively searched databases (MEDLINE, COCHRANE), clinical trial registries, bibliographic lists of selected studies, and unpublished data for relevant studies. Guide questions from the Painless Evidence Based Medicine and the National Institutes of Health Quality Assessment Tools were used to assess study quality. A poor quality study showed 86.0% (95% CI 73.8, 93.0) sensitivity and 75.9% (95% CI 67.1, 83.0) specificity of chest CT scan in diagnosing COVID-19 in children. Thirty-nine observational studies describing chest CT scan in children with COVID-19 showed abnormal findings in 717 of 1028 study subjects. Common chest CT scan findings in this population include: 1) ground glass opacities, patchy shadows, and consolidation, 2) lower lobe involvement, and 3) unilateral lung lesions. Studies which investigate the accuracy of chest CT scan in the diagnosis of COVID-19 in children are limited by heterogeneous populations and small sample sizes. While chest CT scan findings such as patchy shadows, ground glass opacities, and consolidation are common in children with COVID-19, these may be similar to the imaging findings of other respiratory viral illnesses.

COVID-19-associated morbidity and mortality outcomes in pregnant patients admitted to intensive care unit

Background: Our study aimed to evaluate the clinical characteristics and maternal-fetal outcomes of pregnant women admitted to the ICU due to COVID-19 pneumonia. Materials and Methods: Demographic data, presenting complaints, laboratory values, pregnancy outcomes, delivery method, and ICU mortality were recorded. Results: A total of 10 pregnant patients were admitted to the intensive care unit of our hospital due to SARS-COV-2 infection during the 2-year period. Arterial blood oxygen saturation values measured at admission to the ICU were higher in the surviving patients. Six of the 10 patients died. Only one of the 7 patients requiring invasive mechanical ventilation survived. Conclusions: We found that COVID-19-infected pregnant women with severe symptoms have several maternal morbidities and poor obstetric outcomes, such as prolonged intensive care unit stay, increased mortality, neonatal deaths, and caserean section.

Lack of association between classical HLA genes and asymptomatic SARS-CoV-2 infection

Human genetic studies of critical COVID-19 pneumonia have revealed the essential role of type I interferon-dependent innate immunity to SARS-CoV-2 infection. Conversely, an association between the HLA-B*15:01 allele and asymptomatic SARS-CoV-2 infection in unvaccinated individuals was recently reported, suggesting a contribution of pre-existing T cell-dependent adaptive immunity. We report a lack of association of classical HLA alleles, including HLA-B*15:01, with pre-omicron asymptomatic SARS-CoV-2 infection in unvaccinated participants in a prospective population-based study in the US (191 asymptomatic vs. 945 symptomatic COVID-19 cases). Moreover, we found no such association in the international COVID Human Genetic Effort cohort (206 asymptomatic vs. 574 mild or moderate COVID-19 cases and 1,625 severe or critical COVID-19 cases). Finally, in the Human Challenge Characterisation study, the three HLA-B*15:01 individuals infected with SARS-CoV-2 developed symptoms. As with other acute primary infections studied, no classical HLA alleles favoring an asymptomatic course of SARS-CoV-2 infection were identified.

An effective ensemble approach for classification of chest X-ray images having symptoms of COVID: A precautionary measure for the COVID-19 subvariants

In recent years many people have died due to COVID-19 infection. The death rate increases due to the lack of proper diagnosis and treatment. It can be detected by RT-PCR test and from chest X-rays. Chest X-ray images can identify lung diseases such as COVID-19, viral pneumonia, and tuberculosis (TB). Because many illnesses share similar patterns and diagnoses, radiologists and clinicians find it challenging to distinguish between them. This study uses convolutional neural networks (CNN) and ensemble models (VGG-19, ResNet50, vision transformer) to analyze chest X-ray images from internet sources to identify lung illness. The present research proposed an ensemble model comprised of VGG-19, ResNet50, and a vision transformer for the detection of COVID-19 and normal images with an accuracy of 92.46 percent and 94.52 % for the detection of COVID-19, normal and viral pneumonia respectively. Also, a comparative study has been conducted between CNN and ensemble approach for detecting COVID-19 and pneumonia disease from chest x-ray images. The proposed approach may also help in the early detection of other variants of COVID-19 such as JN.1, and HV.1 in the future.

Abatacept Pharmacokinetics and Exposure Response in Patients Hospitalized With COVID-19

The pharmacokinetics of abatacept and the association between abatacept exposure and outcomes in patients with severe COVID-19 are unknown. To characterize abatacept pharmacokinetics, relate drug exposure with clinical outcomes, and evaluate the need for dosage adjustments. This study is a secondary analysis of data from the ACTIV-1 (Accelerating COVID-19 Therapeutic Interventions and Vaccines) Immune Modulator (IM) randomized clinical trial conducted between October 16, 2020, and December 31, 2021. The trial included hospitalized adults who received abatacept in addition to standard of care for treatment of COVID-19 pneumonia. Data analysis was performed between September 2022 and February 2024. Single intravenous infusion of abatacept (10 mg/kg with a maximum dose of 1000 mg). Mortality at day 28 was the primary outcome of interest, and time to recovery at day 28 was the secondary outcome. Drug exposure was assessed using the projected area under the serum concentration time curve over 28 days (AUC0-28). Logistic regression modeling was used to analyze the association between drug exposure and 28-day mortality, adjusted for age, sex, and disease severity. The association between time to recovery and abatacept exposure was examined using Fine-Gray modeling with death as a competing risk, and was adjusted for age, sex, and disease severity. Of the 509 patients who received abatacept, 395 patients with 848 serum samples were included in the population pharmacokinetic analysis. Their median age was 55 (range, 19-89) years and most (250 [63.3%]) were men. Abatacept clearance increased with body weight and more severe disease activity at baseline. Drug exposure was higher in patients who survived vs those who died, with a median AUC0-28 of 21 428 (range, 8462-43 378) mg × h/L vs 18 262 (range, 9628-27 507) mg × h/L (P < .001). Controlling for age, sex, and disease severity, an increase of 5000 units in AUC0-28 was associated with lower odds of mortality at day 28 (OR, 0.52 [95% CI, 0.35-0.79]; P = .002). For an AUC0-28 of 19 400 mg × h/L or less, there was a higher probability of recovery at day 28 (hazard ratio, 2.63 [95% CI, 1.70-4.08] for every 5000-unit increase; P < .001). Controlling for age, sex, and disease severity, every 5000-unit increase in AUC0-28 was also associated with lower odds of a composite safety event at 28 days (OR, 0.46 [95% CI, 0.33-0.63]; P < .001). Using the dosing regimen studied in the ACTIV-1 IM trial, 121 of the 395 patients (30.6%) would not achieve an abatacept exposure of at least 19 400 mg × h/L, particularly at the extremes of body weight. Using a modified, higher-dose regimen, only 12 patients (3.0%) would not achieve the hypothesized target abatacept exposure. In this study, patients who were hospitalized with severe COVID-19 and achieved higher projected abatacept exposure had reduced mortality and a higher probability of recovery with fewer safety events. However, abatacept clearance was high in this population, and the current abatacept dosing (10 mg/kg intravenously with a maximum of 1000 mg) may not achieve optimal exposure in all patients. ClinicalTrials.gov Identifier: NCT04593940.

The Dysregulation of the Monocyte-Dendritic Cell Interplay Is Associated with In-Hospital Mortality in COVID-19 Pneumonia.

Background: The monocyte-phagocyte system (MPS), including monocytes/macrophages and dendritic cells (DCs), plays a key role in anti-viral immunity. We aimed to analyze the prognostic value of the MPS components on in-hospital mortality in a cohort of 58 patients (M/F; mean age ± SD years) with COVID-19 pneumonia and 22 age- and sex-matched healthy controls. Methods: We measured frequencies and absolute numbers of peripheral blood CD169+ monocytes, conventional CD1c+ and CD141+ (namely cDC2 and cDC1), and plasmacytoid CD303+ DCs by means of multi-parametric flow cytometry. A gene profile analysis of 770 immune-inflammatory-related human genes and 20 SARS-CoV-2 genes was also performed. Results: Median frequencies and absolute counts of CD169-expressing monocytes were significantly higher in COVID-19 patients than in controls (p 0.04 and p 0.01, respectively). Conversely, percentages and absolute numbers of all DC subsets were markedly depleted in patients (p < 0.0001). COVID-19 cases with absolute counts of CD169+ monocytes above the median value of 114.68/μL had significantly higher in-hospital mortality (HR 4.96; 95% CI: 1.42-17.27; p = 0.02). Interleukin (IL)-6 concentrations were significantly increased in COVID-19 patients (p < 0.0001 vs. controls), and negatively correlated with the absolute counts of circulating CD1c+ cDC2 (r = -0.29, p = 0.034) and CD303+ pDC (r = -0.29, p = 0.036) subsets. Viral genes were upregulated in patients with worse outcomes along with inflammatory mediators such as interleukin (IL)-1 beta, tumor necrosis-α (TNF-α) and the anticoagulant protein (PROS1). Conversely, surviving patients had upregulated genes related to inflammatory and anti-viral-related pathways along with the T cell membrane molecule CD4. Conclusions: Our results suggest that the dysregulated interplay between the different components of the MPS along with the imbalance between viral gene expression and host anti-viral immunity negatively impacts COVID-19 outcomes. Although the clinical scenario of COVID-19 has changed over time, a deepening of its pathogenesis remains a priority in clinical and experimental research.

Lung Diffusion Capacity in Patients With Bilateral COVID-19 Pneumonia: A Three-Month Follow-Up Study.

The aim of this study was to determine the short-term consequences of coronavirus disease 2019 (COVID-19) infection on pulmonary diffusion in patients with severe (but not critical)andmoderately severe COVID-19 pneumonia during three months after COVID-19 infection. A prospective study included 81 patients with an RT-PCR-test confirmed diagnosis of COVID-19 infection treated in the COVID Department of Lung Diseases of University Clinical Hospital Mostar. Inclusion criteria were≥18-year-old patients, COVID-19 infection confirmed using real-time RT-PCR, radiologically confirmed bilateral COVID-19 pneumonia, and diffusion capacity of the lungs for carbon monoxide (DLCO) one and three months after COVID-19 infection. The pulmonary function was tested using the MasterScreen Body Jaeger (Jaeger Corporation, Omaha, USA) and MasterScreen PFT Jaeger (Jaeger Corporation, Omaha, USA) according to American Thoracic Society guidelines one and three months after COVID-19 infection. Forced vital capacity significantly increased three months after COVID-19 infection compared to the first-month control (p<0.0005). Also, a statistically significant increase in the FEV1 value (p<0.0005), FEV1%FVC ratio (p<0.005), DLCO/SB (p<0.0005), DLCO/VA value (p<0.0005),and total lung capacity (TLC) (p<0.0005) was observed in all patients. Our study showed that recovery of DLCO/VA and spirometry parameters was complete after three months, while DLCO/SB was below normal values even after three months. Therefore, one month after the COVID-19 infection patients had partial recovery of lung function, while a significant recovery of lung function was observed three months after the COVID-19 infection.

Neuropsychiatric complications of coronavirus disease 2019: Mount Sinai Health System cohort study.

To describe the frequency of neuropsychiatric complications among hospitalized patients with coronavirus disease 2019 (COVID-19) and their association with pre-existing comorbidities and clinical outcomes. We retrospectively identified all patients hospitalized with COVID-19 within a large multicenter New York City health system between March 15, 2020 and May 17, 2021 and randomly selected a representative cohort for detailed chart review. Clinical data, including the occurrence of neuropsychiatric complications (categorized as either altered mental status [AMS] or other neuropsychiatric complications) and in-hospital mortality, were extracted using an electronic medical record database and individual chart review. Associations between neuropsychiatric complications, comorbidities, laboratory findings, and in-hospital mortality were assessed using multivariate logistic regression. Our study cohort consisted of 974 patients, the majority were admitted during the first wave of the pandemic. Patients were treated with anticoagulation (88.4%), glucocorticoids (24.8%), and remdesivir (10.5%); 18.6% experienced severe COVID-19 pneumonia (evidenced by ventilator requirement). Neuropsychiatric complications occurred in 58.8% of patients; 39.8% experienced AMS; and 19.0% experienced at least one other complication (seizures in 1.4%, ischemic stroke in 1.6%, hemorrhagic stroke in 1.0%) or symptom (headache in 11.4%, anxiety in 6.8%, ataxia in 6.3%). Higher odds of mortality, which occurred in 22.0%, were associated with AMS, ventilator support, increasing age, and higher serum inflammatory marker levels. Anticoagulant therapy was associated with lower odds of mortality and AMS. Neuropsychiatric complications of COVID-19, especially AMS, were common, varied, and associated with in-hospital mortality in a diverse multicenter cohort at an epicenter of the COVID-19 pandemic.

Predictors of mortality among critical COVID-19 patients admitted to the intensive care unit in the Sulaimani governorate in 2021, Iraq

Background and objective: There are many factors that influence mortality in critically ill patients with COVID-19 infection in the intensive care unit. The aim of this study was to investigate the risk factors that predict the mortalities of critical COVID-19 patients admitted to the intensive care unit in Sulaimani in 2021. Methods: This is an observational retrospective study of critically ill patients with COVID-19 pneumonia admitted to the main intensive care unit of the Sulaimani government between June and December 2020. Overall baseline characteristics are presented based on the patient's survivors versus non-survivors. Mann-Whitney U test was used to compare whether there is a difference between survivors and non-survivors for the independent basic characteristics of the patients. Binary logistic regression was used to identify the predicted factors of survivors. Results: A total of 220 patients were admitted to the intensive care unit, of whom 167 died, with a case fatality rate of 75.9%. The risk factors that predicted mortality in critical COVID-19 patients were an increasing age of more than 59 years (P-value = 0.008), comorbidities (P-value = 0.038), and a lack of use of antiviral drugs (P-value = 0.011). Whereas the factors significantly predicted a reduction in mortality were increasing oxygen saturation (P-value &lt;0.001), systolic blood pressure (P-value = 0.002), non-invasive mechanical ventilation (facemask) (P-value = 0.001), and continuous positive airway pressure (P-value = 0.003). Conclusion: The risk factors that predicted mortality in critical COVID-19 patients were increasing age, comorbidities, and a lack of use of antiviral drugs. Whereas increasing oxygen saturation, systolic blood pressure, non-invasive mechanical ventilation (facemask), and continuous positive airway pressure significantly predicted a reduction in the likelihood of death.