Organizing pneumonia as a manifestation of coronavirus disease 2019.
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ABSTRACT:
SUBMITTER: Edupuganti S
PROVIDER: S-EPMC8014714 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundClinical manifestation and neonatal outcomes of pregnant women with coronavirus disease 2019 (COVID-19) were unclear in Wuhan, China.MethodsWe retrospectively analyzed clinical characteristics of pregnant and nonpregnant women with COVID-19 aged from 20 to 40, admitted between January 15 and March 15, 2020 at Union Hospital, Wuhan, and symptoms of pregnant women with COVID-19 and compared the clinical characteristics and symptoms to historic data previously reported for H1N1.ResultsAmong 64 patients, 34 (53.13%) were pregnant, with higher proportion of exposure history (29.41% vs 6.67%) and more pulmonary infiltration on computed tomography test (50% vs 10%) compared to nonpregnant women. Of pregnant patients, 27 (79.41%) completed pregnancy, 5 (14.71%) had natural delivery, 18 (52.94%) had cesarean section, and 4 (11.76%) had abortion; 5 (14.71%) patients were asymptomatic. All 23 newborns had negative reverse-transcription polymerase chain results, and an average 1-minute Apgar score was 8-9 points. Pregnant and nonpregnant patients show differences in symptoms such as fever, expectoration, and fatigue and on laboratory tests such as neurophils, fibrinogen, D-dimer, and erythrocyte sedimentation rate. Pregnant patients with COVID-19 tend to have more milder symptoms than those with H1N1.ConclusionsClinical characteristics of pregnant patients with COVID-19 are less serious than nonpregnant. No evidence indicated that pregnant women may have fetal infection through vertical transmission of COVID-19. Pregnant patients with H1N1 had more serious condition than those with COVID-19.
| S-EPMC7384380 | biostudies-literature
Project description:BackgroundTo evaluate chest-computed-tomography (CT) scans in coronavirus-disease-2019 (COVID-19) patients for signs of organizing pneumonia (OP) and microinfarction as surrogate for microscopic thromboembolic events.MethodsReal-time polymerase-chain-reaction (RT-PCR)-confirmed COVID-19 patients undergoing chest-CT (non-enhanced, enhanced, pulmonary-angiography [CT-PA]) from March-April 2020 were retrospectively included (COVID-19-cohort). As control-groups served 175 patients from 2020 (cohort-2020) and 157 patients from 2019 (cohort-2019) undergoing CT-PA for pulmonary embolism (PE) during the respective time frame at our institution. Two independent readers assessed for presence and location of PE in all three cohorts. In COVID-19 patients additionally parenchymal changes typical of COVID-19 pneumonia, infarct pneumonia and OP were assessed. Inter-reader agreement and prevalence of PE in different cohorts were calculated.ResultsFrom 68 COVID-19 patients (42 female [61.8%], median age 59 years [range 32-89]) undergoing chest-CT 38 obtained CT-PA. Inter-reader-agreement was good (k = 0.781). On CT-PA, 13.2% of COVID-19 patients presented with PE whereas in the control-groups prevalence of PE was 9.1% and 8.9%, respectively (p = 0.452). Up to 50% of COVID-19 patients showed changes typical for OP. 21.1% of COVID-19 patients suspected with PE showed subpleural wedge-shaped consolidation resembling infarct pneumonia, while only 13.2% showed visible filling defects of the pulmonary artery branches on CT-PA.ConclusionDespite the reported hypercoagulability in critically ill patients with COVID-19, we did not encounter higher prevalence of PE in our patient cohort compared to the control cohorts. However, patients with suspected PE showed a higher prevalence of lung changes, resembling patterns of infarct pneumonia or OP and CT-signs of pulmonary-artery hypertension.
| S-EPMC7535037 | biostudies-literature
Project description:Objectives: To develop and validate a radiomics model for distinguishing coronavirus disease 2019 (COVID-19) pneumonia from influenza virus pneumonia. Materials and Methods: A radiomics model was developed on the basis of 56 patients with COVID-19 pneumonia and 90 patients with influenza virus pneumonia in this retrospective study. Radiomics features were extracted from CT images. The radiomics features were reduced by the Max-Relevance and Min-Redundancy algorithm and the least absolute shrinkage and selection operator method. The radiomics model was built using the multivariate backward stepwise logistic regression. A nomogram of the radiomics model was established, and the decision curve showed the clinical usefulness of the radiomics nomogram. Results: The radiomics features, consisting of nine selected features, were significantly different between COVID-19 pneumonia and influenza virus pneumonia in both training and validation data sets. The receiver operator characteristic curve of the radiomics model showed good discrimination in the training sample [area under the receiver operating characteristic curve (AUC), 0.909; 95% confidence interval (CI), 0.859-0.958] and in the validation sample (AUC, 0.911; 95% CI, 0.753-1.000). The nomogram was established and had good calibration. Decision curve analysis showed that the radiomics nomogram was clinically useful. Conclusions: The radiomics model has good performance for distinguishing COVID-19 pneumonia from influenza virus pneumonia and may aid in the diagnosis of COVID-19 pneumonia.
| S-EPMC8239147 | biostudies-literature
Project description:Purpose of reviewThe first studies on COVID-19 patients with acute respiratory distress syndrome (ARDS) described a high rate of secondary bacterial ventilator-associated pneumonia (VAP). The specificity of VAP diagnoses in these patients are reviewed, including their actual rate.Recent findingsPublished studies described high rates of bacterial VAP among COVID-19 patients with ARDS, and these VAP episodes are usually severe and of specifically poor prognosis with high mortality. Indeed, Severe acute respiratory syndrome - coronavirus disease 19 (SARS-CoV2) infection elicits alterations that may explain a high risk of VAP. In addition, breaches in the aseptic management of patients might have occurred when the burden of care was heavy. In addition, VAP in these patients is more frequently suspected, and more often investigated with diagnostic tools based on molecular techniques.SummaryVAP is frequented and of particularly poor prognosis in COVID-19 patients with ARDS. It can be explained by SARS-CoV-2 pathophysiology, and also breaches in the aseptic procedures. In addition, tools based on molecular techniques allow an early diagnosis and unmask VAP usually underdiagnosed by traditional culture-based methods. The impact of molecular technique-based diagnostics in improving antibacterial therapy and COVID-19 prognosis remain to be evaluated.
| S-EPMC8900889 | biostudies-literature
Project description: Not available
| S-EPMC8285253 | biostudies-literature
Project description: Not available
| S-EPMC7175452 | biostudies-literature
Project description:BackgroundExcessive inflammation contributes to the morbidity and mortality of severe coronavirus disease 2019 (COVID-19) pneumonia. Recombinant human plasma gelsolin (rhu-pGSN) improves disease outcomes in diverse experimental models of infectious and noninfectious inflammation.MethodsIn a blinded, randomized study, 61 subjects with documented COVID-19 pneumonia having a World Health Organization (WHO) Severity Score of 4 to 6 and evidence of a hyperinflammatory state were treated with standard care and either adjunctive rhu-pGSN 12 mg/kg or an equal volume of saline placebo given intravenously at entry, 12 hours, and 36 hours. The prespecified coprimary outcomes were survival without major respiratory, hemodynamic, or renal support on Day 14 and the incidence of serious adverse events (SAEs) during the 90-day study period.ResultsAll subjects receiving ≥1 dose of study drug were analyzed. Fifty-four of 61 subjects (88.5%) were WHO severity level 4 at entry. The proportions of subjects alive without support on Day 14 were 25 of 30 rhu-pGSN recipients (83.3%) and 27 of 31 placebo recipients (87.1%). Over the duration of the study, WHO Severity Scores improved similarly in both treatment groups. No statistically significant differences were observed between treatment groups at any time point examined. Two subjects died in each group. Numerically fewer subjects in the rhu-pGSN group had SAEs (5 subjects; 16.7%) or ≥ Grade 3 adverse events (5 subjects; 16.7%) than in the placebo group (8 subjects [25.8%] and 9 subjects [29.0%], respectively), mostly involving the lungs. Three rhu-pGSN recipients (10.0%) were intubated compared to 6 placebo recipients (19.4%).ConclusionsOverall, subjects in this study did well irrespective of treatment arm. When added to dexamethasone and remdesivir, no definitive benefit was demonstrated for rhu-pGSN relative to placebo. Safety signals were not identified after the administration of 3 doses of 12 mg/kg rhu-pGSN over 36 hours. The frequencies of SAEs and intubation were numerically fewer in the rhu-pGSN group compared with placebo.
| S-EPMC9345409 | biostudies-literature
Project description:Objective: To study the potential effect of COVID-19 on the endometrium of affected symptomatic women. Design: Preliminary study of the endometrial transcriptomes in women with COVID-19 through RNA sequencing. Setting: Hospital and university laboratories. Subjects: Women with COVID-19 lacking SARS-CoV-2 infection in endometrial tissue. Intervention/Exposure: Endometrial biopsy collection. Main outcomes measures: Endometrial gene expression and functional analysis of patients with COVID-19 versus uninfected individuals. Results: COVID-19 systemic disease alters endometrial gene expression in 75% of women, with patients exhibiting a preponderance of 163 up-regulated (e.g., UTS2, IFI6, IFIH1, BNIP3) and 72 down-regulated genes (e.g., CPZ, CDH3, IRF4) (FDR<0.05). A total of 161 dysregulated functions (36 up-regulated and 125 down-regulated) were typically enriched in COVID-19 endometria, including upregulation in pathways involved in response to virus and cytokine inflammation, highlighting upregulation of a COVID-19 response pathway. Conclusion: COVID-19 affects endometrial gene expression despite the absence of SARS-CoV-2 particles in endometrial tissues.
2024-04-22 | GSE202553 | GEO
Project description:ObjectivesTo determine methylprednisolone's dose, duration, and administration from onset of symptoms and association with 60 days in hospital survival of coronavirus disease 2019 pneumonia.DesignCohort study.SettingThirteen hospitals in New Jersey, United States during March to June 2020.PatientsSeven-hundred fifty-nine hospitalized coronavirus disease 2019 patients.InterventionsWe performed a propensity matched cohort study between patients who received methylprednisolone and no methylprednisolone. Patients in the methylprednisolone group were further differentiated into dose (high dose and low dose), duration, and administration from onset of symptoms.Measurements and main resultsIn the propensity matched sample, 99 out of 380 (26%) in no methylprednisolone, 69 out of 215 (31.9%) in low-dose methylprednisolone, and 74 out of 164 (55.2%) high-dose methylprednisolone expired. Overall median survival for no methylprednisolone (25.0 d), low-dose methylprednisolone (39.0 d), high-dose methylprednisolone (20.0 d), less than or equal to 7 days duration (19.0 d), 7-14 days duration (30.0 d), greater than 14 days duration (44.0 d), onset of symptoms less than or equal to 7 days (20.0 d), and onset of symptoms 7-14 days (27.0 d) were statistically significant (log-rank p ≤ 0.001). Multivariate Cox regression showed nursing home residents, coronary artery disease, and invasive mechanical ventilation were independently associated with mortality. Methylprednisolone was associated with reduced mortality compared with no methylprednisolone (hazard ratio, 0.40; 95% CI, 0.27-0.59; p < 0.001) but no added benefit with high dose. Low-dose methylprednisolone for 7-14 days was associated with reduced mortality compared with less than or equal to 7 days (hazard ratio, 0.45; 95% CI, 0.22-0.91; p = 0.0273), and no additional benefit if greater than 14 days (hazard ratio, 1.27; 95% CI, 0.60-2.69; p = 0.5434). Combination therapy with tocilizumab was associated with reduced mortality over monotherapy (p < 0.0116).ConclusionsLow-dose methylprednisolone was associated with reduced mortality if given greater than 7 days from onset of symptoms, and no additional benefit greater than 14 days. High dose was associated with higher mortality.
| S-EPMC8291358 | biostudies-literature
Project description: Not available
| S-EPMC7926606 | biostudies-literature