RÉSUMÉ
Background: Parvimonas micra (P. micra) has been identified as a pathogen capable of causing lung abscesses; however, its identification poses challenges due to the specialized culture conditions for anaerobic bacterial isolation. Only a few cases of lung abscesses caused by P. micra infection have been reported. Therefore, we describe the clinical characteristics of lung abscesses due to P. micra based on our case series. Methods: A retrospective analysis was conducted on eight patients who were diagnosed with lung abscesses attributed to P. micra. Detection of P. micra was accomplished through target next-generation sequencing (tNGS). A systematic search of the PubMed database using keywords "lung abscess" and "Parvimonas micra/Peptostreptococcus micros" was performed to review published literature pertaining to similar cases. Results: Among the eight patients reviewed, all exhibited poor oral hygiene, with four presenting with comorbid diabetes. Chest computed tomography (CT) showed high-density mass shadows with necrosis and small cavities in the middle. Bronchoscopic examination revealed purulent sputum and bronchial mucosal inflammation. Thick secretions obstructed the airway, leading to the poor drainage of pus, and the formation of local abscesses leading to irresponsive to antibiotic therapy, which finally protracted recovery time. P. micra was successfully identified in bronchoalveolar lavage fluid (BALF) samples from all eight patients using tNGS; in contrast, sputum and BALF bacterial cultures yielded negative results, with P. micra cultured from only one empyema sample. Following appropriate antibiotic therapy, seven patients recovered. In previously documented cases, favorable outcomes were observed in 77.8% of individuals treated with antibiotics and 22.2% were cured after surgical interventions for P. micra lung abscesses. Conclusions: This study enriches our understanding of the clinical characteristics associated with lung abscesses attributed to P. micra. Importantly, tNGS has emerged as a rapid and effective diagnostic test in scenarios where traditional sputum cultures are negative. Encouragingly, patients with lung abscesses caused by P. micra infection exhibit a favorable prognosis with effective airway clearance and judicious anti-infective management.
Sujet(s)
Séquençage nucléotidique à haut débit , Abcès du poumon , Humains , Abcès du poumon/microbiologie , Abcès du poumon/diagnostic , Adulte d'âge moyen , Mâle , Femelle , Sujet âgé , Études rétrospectives , Infections bactériennes à Gram positif/diagnostic , Infections bactériennes à Gram positif/microbiologie , Tomodensitométrie , Firmicutes/génétique , Firmicutes/isolement et purification , Adulte , Antibactériens/usage thérapeutiqueRÉSUMÉ
To assess the impact of vaccines on clinical outcomes among hospitalized COVID-19-infected patients requiring oxygen supplementation during the Beijing Omicron outbreak. We conducted a retrospective cohort study at Beijing Chaoyang Hospital, Capital Medical University, from November 15, 2022, to March 31, 2023. Vaccination statuses were categorized into 3 doses, 2 doses, and unvaccinated (0 dose). The primary outcome was 28-day all-cause mortality. Secondary outcomes included poor outcomes, intensive care unit admission, cardiovascular thromboembolism events, and hospital readmission. Among the included patients, 117 were 2 doses, 285 received booster doses, and 503 were unvaccinated. After propensity score inverse probability weighting, the 3 doses group showed a significantly lower 28-day all-cause mortality compared to the unvaccinated group (inverse probability of treatment weighting-adjusted HR: 0.64, 95% CI: 0.50-0.81). No significant difference was observed in all-cause mortality between the 2 doses and unvaccinated groups. No significant differences were observed in secondary outcome analyses when comparing the 3 doses or 2 doses group to the unvaccinated group. Subgroup analysis revealed significant benefits of booster vaccination in patients with shorter symptom duration, lower Charlson Comorbidity Index, and without immunosuppression status. Our study highlights the significant reduction in all-cause mortality among hospitalized Omicron-infected patients who received a third dose vaccine. These findings underscore the importance of prioritizing booster vaccinations, especially among the elderly. Further research is warranted to confirm and extend these observations.
Sujet(s)
Vaccins contre la COVID-19 , COVID-19 , Hospitalisation , Rappel de vaccin , SARS-CoV-2 , Humains , COVID-19/prévention et contrôle , COVID-19/mortalité , COVID-19/immunologie , Mâle , Études rétrospectives , Femelle , Vaccins contre la COVID-19/administration et posologie , Vaccins contre la COVID-19/immunologie , Adulte d'âge moyen , Sujet âgé , SARS-CoV-2/immunologie , Hospitalisation/statistiques et données numériques , Épidémies de maladies/prévention et contrôle , Adulte , Vaccination/méthodesRÉSUMÉ
BACKGROUND: Different types of inflammatory processes and fibrosis have been implicated in the pathogenesis of interstitial lung disease (ILD), a heterogeneous, diffuse, parenchymal lung disease. Acute exacerbation (AE) of ILD is characterized by significant respiratory deterioration and is associated with high mortality rates. Several serum oncomarkers have been used to determine the prognosis of ILD; however, the prognostic value of serum oncomarker levels in patients with AE-ILD remains unclear. OBJECTIVE: To evaluate the prognostic value of serum oncomarker levels in patients with AE-ILD and its main subtypes. DESIGN: Retrospective study. METHODS: The serum levels of 8 oncomarkers in 281 patients hospitalized with AE-ILD at our institution between 2017 and 2022 were retrospectively reviewed. The baseline characteristics and serum oncomarker levels were compared between the survival and non-survival groups of AE-ILD and its main subtypes. Multivariate logistic regression analysis was performed to identify independent prognosis-related markers, and the best prognostic predictor was analyzed using receiver operating characteristic curve (ROC) analysis. RESULT: Idiopathic pulmonary fibrosis (IPF; n = 65), idiopathic nonspecific interstitial pneumonia (iNSIP; n = 26), and connective tissue disease-associated interstitial lung disease (CTD-ILD; n = 161) were the three main subtypes of ILD. The in-hospital mortality rate among patients with AE-ILD was 21%. The serum oncomarker levels of most patients with AE-ILD and its main subtypes in the non-survival group were higher than those in the survival group. Multivariate analysis revealed that ferritin and cytokeratin 19 fragments (CYFRA21-1) were independent prognostic risk factors for patients hospitalized with AE-ILD or AE-CTD-ILD. CYFRA21-1 was identified as an independent prognostic risk factor for patients hospitalized with AE-IPF or AE-iNSIP. CONCLUSION: CYFRA21-1 may be a viable biomarker for predicting the prognosis of patients with AE-ILD, regardless of the underlying subtype of ILD. Ferritin has a prognostic value in patients with AE-ILD or AE-CTD-ILD.
Sujet(s)
Marqueurs biologiques , Évolution de la maladie , Pneumopathies interstitielles , Humains , Mâle , Femelle , Études rétrospectives , Pneumopathies interstitielles/sang , Pneumopathies interstitielles/mortalité , Pneumopathies interstitielles/diagnostic , Pneumopathies interstitielles/physiopathologie , Sujet âgé , Adulte d'âge moyen , Pronostic , Marqueurs biologiques/sang , Valeur prédictive des tests , Sujet âgé de 80 ans ou plus , Hospitalisation , Facteurs de risque , Ferritines/sang , Kératine-19/sangRÉSUMÉ
Objective: The efficacy of nirmatrelvir-ritonavir for hospitalized patients with COVID-19 has not been fully established. Methods: We conducted a retrospective analysis of hospitalized COVID-19 patients with high risk for disease progression at Beijing Chaoyang Hospital from October 15, 2022, to March 31, 2023. Patients ≥18 years old who were hospitalized with COVID-19 within 5 days of symptom onset were included. Baseline data were obtained from the routine electronic health record database of the hospital information system. Outcomes were monitored at 28 days via electronic medical record reviews or telephone interviews. Results: We identified 1120 patients hospitalized with COVID-19 during the study period. After exclusions, 167 nirmatrelvir-ritonavir users and 132 controls were included. 28-day all-cause mortality rate was 12.0% (20/167) in the nirmatrelvir-ritonavir group, versus 22.7% (30/132) in the control group (unadjusted log-rank p = 0.010; HR = 0.49, 95% confidence interval [CI] = 0.28-0.86, IPTW-adjusted HR = 0.58, 95% CI = 0.40-0.86). The 28-day disease progression rates did not differ between the two groups (unadjusted HR = 0.59, 95% CI = 0.34-1.02, IPTW-adjusted HR = 0.73, 95% CI = 0.50-1.06). Nirmatrelvir-ritonavir significantly reduced all-cause mortality and disease progression within 28 days among patients aged ≥65 years without ≥2 vaccine doses. Conclusion: We found significantly reduced all-cause mortality in the nirmatrelvir-ritonavir group, particularly in elderly patients who were incompletely vaccinated. Future randomized controlled studies are needed to validate our findings.
RÉSUMÉ
BACKGROUND: Acute exacerbation (AE) is a life-threatening condition taking place not only in idiopathic pulmonary fibrosis (IPF) but also in interstitial lung diseases (ILD) other than IPF (non-IPF ILD). This study aims to compare the clinical manifestations between patients hospitalised with AE-IPF and AE-non-IPF ILD, and further analyse the risk factors related to in-hospital mortality. METHODS: Clinical data of 406 patients hospitalised with AE-IPF (93 cases) and AE-non-IPF ILD (313 cases) were retrospectively collected. Clinical features were compared between the two groups. Risk factors related to in-hospital mortality in patients with overall AE-ILD, AE-IPF and AE-non-IPF ILD were identified by multiple logistic regression analyses, respectively, and assessed by receiver operating characteristic curve. RESULTS: In addition to having more smokers and males, the AE-IPF group also had more respiratory failure on admission, comorbidities of pulmonary hypertension (PAH) or coronary artery disease/heart failure, a longer history of pre-existing ILD. Comorbidity of coronary heart disease/heart failure, respiratory failure at admission, neutrophil (N)%, serum hydroxybutyrate dehydrogenase (HBDH), lactate dehydrogenase (LDH) and low cholesterol levels were independent risk factors for patients with AE-ILD, while respiratory failure on admission, N%, serum HBDH, urea nitrogen, LDH and low albumin levels were risk factors for the AE-non-IPF ILD group, and fever, N% and PAH were the AE-IPF group's. Among them, HBDH 0.758 (sensitivity 85.5%, specificity 56%, cut-off 237.5 U/L) for patients with AE-ILD; N% 0.838 (sensitivity 62.5%, specificity 91.18%, cut-off 83.55%) for the AE-IPF group and HBDH 0.779 (sensitivity 86.4%, specificity 55.1%, cut-off 243.5 U/L) for the AE-non-IPF ILD group were the risk factors with the highest area under the curve. CONCLUSIONS: Clinical characteristics differ between patients with AE-IPF and AE-non-IPF ILD. HBDH outperformed LDH in predicting the prognosis for patients with AE-ILD and AE-non-IPF ILD. N% was an independent predictor of death in-hospital in all three groups, especially in the AE-IPF group.
Sujet(s)
Fibrose pulmonaire idiopathique , Pneumopathies interstitielles , Insuffisance respiratoire , Mâle , Humains , Pronostic , Études rétrospectives , Évolution de la maladie , Fibrose pulmonaire idiopathique/complications , Pneumopathies interstitielles/complicationsRÉSUMÉ
Azvudine is recommended by Chinese health authorities for COVID-19 treatment but has not been tested in real-world clinical studies. This study aimed to evaluate the real-world effectiveness of Azvudine among COVID-19 nonhospitalized patients. This was a retrospective cohort study, looking at nonhospitalized patients who tested positive for SARS-CoV-2. Patients admitted between December 19, 2022 and January 5, 2023 were included. Those who received Azvudine treatment were in the Azvudine group, while those who received supportive treatment were the control group. The primary outcome was the disease progression rate by Day 28. Secondary outcomes were individual disease progression outcomes (death or COVID-19-related hospitalization) and duration of fever. The safety outcomes were assessed based on adverse events (AEs) overall, as well as AEs that were considered to be related to the drug. A total of 804 patients with high risk for progression were enrolled in our study. Among them, 317 (39.43%) received treatment with Azvudine. Our study found that Azvudine could reduce the rate of disease progression, as well as rate of COVID-19-related hospitalization in patients comparing the control group. Furthermore, if taken within 3 days of the onset of symptoms, it could also shorten the duration of fever. Despite a higher incidence of drug-related AEs compared to supportive treatment, the majority of these were mild. Azvudine has been found to be effective in reducing the rate of disease progression of COVID-19, albeit with a slight increase in AEs.
Sujet(s)
COVID-19 , Humains , Adulte , SARS-CoV-2 , Traitements médicamenteux de la COVID-19 , Études rétrospectives , Résultat thérapeutique , Évolution de la maladieRÉSUMÉ
BACKGROUND: Characteristics of airway microbiota might influence asthma status or asthma phenotype. Identifying the airway microbiome can help to investigate its role in the development of asthma phenotypes or small airway function. METHODS: Bacterial microbiota profiles were analyzed in induced sputum from 31 asthma patients and 12 healthy individuals from Beijing, China. Associations between small airway function and airway microbiomes were examined. RESULTS: Composition of sputum microbiota significantly changed with small airway function in asthma patients. Two microbiome-driven clusters were identified and characterized by small airway function and taxa that had linear relationship with small airway functions were identified. CONCLUSIONS: Our findings confirm that airway microbiota was associated with small airway function in asthma patients.
Sujet(s)
Asthme , Microbiote , Humains , Asthme/microbiologie , Expectoration/microbiologie , Nez , Trachée , Microbiote/génétiqueRÉSUMÉ
OBJECTIVE: To evaluate the lymphocyte profile (LP) in lymph node puncture fluid (LNPF) of mediastinal and hilar lymph nodes, bronchoalveolar lavage fluid (BALF), and peripheral blood (PB) involved in stage 2 sarcoidosis. METHODS: After selection, 31 patients diagnosed with stage II sarcoidosis were finally included. Patients were further divided into symptomatic (n = 17) and asymptomatic (n = 14) groups according to the presence or absence of respiratory symptoms. The LP in lymph node puncture fluid (LNPF), bronchoalveolar lavage fluid (BALF), and peripheral blood (PB) were evaluated and compared using flow cytometry. The relationship between respiratory symptoms and LP was preliminarily analyzed. RESULTS: The proportions of T cells and CD4 T cells, and CD4/CD8 ratio in BALF were significantly higher than that of LNPF with PB (all P < 0.05). The proportions of lymphocyte cells, CD8 T cells, NK cells, and CD4/CD8 ratio in LNPF and PB were significantly different (all P < 0.05). There were significant differences in CD4 T cells [72.40 (68.90,75.55) vs.46.30 (38.55,52.50), P = 0.004], CD8 T cells (9.9 ± 3.9 vs. 16.8 ± 6.8, P = 0.002), and CD4/CD8 ratio (7.9 ± 2.8 vs. 3.9 ± 1.5, P < 0.001) in BALF between the symptomatic group and asymptomatic group (all P < 0.05). The T cells (rs = 0.447, P = 0.011), CD4 (rs = 0.572, P = 0.002), and CD4/CD8 ratio (rs = 0.701, P < 0.001) in BALF were positively correlated with respiratory symptoms. CONCLUSION: The LP in LNPF, BALF and PB were significantly different and the main index correlated with respiratory symptoms was CD4/CD8 ratio in BALF. The difference of LP in BALF and LNPF may help to deeply understand the pathophysiological process and may reflect the different degree of lung and lymph node lesion.
Sujet(s)
Sarcoïdose , Humains , Liquide de lavage bronchoalvéolaire , Sarcoïdose/diagnostic , Rapport CD4-CD8 , Lymphocytes T CD4+ , Lymphocytes T CD8+RÉSUMÉ
BACKGROUND: High incidence of deep vein thrombosis (DVT) has been observed in patients with acute respiratory distress syndrome (ARDS) caused by COVID-19 and those by bacterial pneumonia. However, the differences of incidence and risk factors of DVT in these two groups of ARDS had not been reported before. STUDY DESIGN AND METHODS: We performed a retrospective cohort study to investigate the difference of DVT in incidence and risk factors between the two independent cohorts of ARDS and eventually enrolled 240 patients, 105 of whom with ARDS caused by COVID-19 and 135 caused by bacterial pneumonia. Lower extremity venous compression ultrasound scanning was performed whenever possible regardless of clinical symptoms in the lower limbs. Clinical characteristics, including demographic information, clinical history, vital signs, laboratory findings, treatments, complications, and outcomes, were analyzed for patients with and without DVT in these two cohorts. RESULTS: The 28-days incidence of DVT was higher in patients with COVID-19 than in those with bacterial pneumonia (57.1% vs 41.5%, P = 0.016). Taking death as a competitive risk, the Fine-Gray test showed no significant difference in the 28-day cumulative incidence of DVT between these two groups (P = 0.220). Fine-Gray competing risk analysis also showed an association between increased CK (creatine kinase isoenzyme)-MB levels (P = 0.003), decreased PaO2 (partial pressure of arterial oxygen)/FiO2 (fraction of inspired oxygen) ratios (P = 0.081), increased D-dimer levels (P = 0.064) and increased incidence of DVT in COVID-19 cohort, and an association between invasive mechanical ventilation (IMV; P = 0.001) and higher incidence of DVT and an association between VTE prophylaxis (P = 0.007) and lower incidence of DVT in bacterial pneumonia cohort. The sensitivity and specificity of the corresponding receiver operating characteristic curve originating from the combination of CK-MB levels, PaO2/FiO2 ratios, and D-dimer levels ≥0.5 µg/mL were higher than that of the DVT Wells score (P = 0.020) and were not inferior to that of the Padua prediction score (P = 0.363) for assessing the risk of DVT in COVID-19 cohort. CONCLUSIONS: The incidence of DVT in patients with ARDS caused by COVID-19 is higher than those caused by bacterial pneumonia. Furthermore, the risk factors for DVT are completely different between these two ARDS cohorts. It is suggested that COVID-19 is probably an additional risk factor for DVT in ARDS patients.
RÉSUMÉ
Objective: The aim of this study was to investigate the effects of different oxygen delivery methods during noninvasive positive-pressure ventilation (NPPV) on transcutaneous oxygen pressure (PtcO2), transcutaneous carbon dioxide pressure (PtcCO2) and fraction of inspired oxygen (FiO2) in order to find more effective oxygen delivery methods. Methods: A total of 20 healthy volunteers participated in this study, all of whom received NPPV. All volunteers received oxygen through a nasal cannula (NC) located in a mask or through a mask alone (OSTM) (oxygen flow rate was 3L/min and 5L/min), PtcO2 and PtcCO2 were measured, and the effects of the 2 methods of oxygen concentration on PtcO2 and PtcCO2 levels were evaluated during noninvasive ventilation. Then, the additional oxygen concentration was stopped, oxygen was delivered through the ventilator, and the oxygen concentration was adjusted so that the PtcO2 reached the same oxygen concentration level as noted through the NC or OSTM. This concentration of oxygen indirectly reflects FiO2 in different oxygen delivery methods. Results: When NPPV was used under the same pressure, FiO2 increased from 44.4% to 65.3% when oxygen was delivered through an NC compared with oxygen supplied by OSTM alone. PtcO2 was also significantly increased from 18.9% to 24.9%; the difference was significant (P < .05), while there was no significant change in PtcCO2 (P > .05). Conclusion: When NPPV is used, an NC can obviously improve FiO2 and PtcO2 without increasing PtcCO2. It can save oxygen and is more suitable for NPPV during an emergency and for home use.
Sujet(s)
Ventilation non effractive , Surveillance transcutanée des gaz du sang , Dioxyde de carbone , Humains , Oxygène , Ventilation à pression positive/méthodesRÉSUMÉ
BACKGROUND: Anti-gamma aminobutyric acid B receptor (anti-GABABR) encephalitis is a rare autoimmune neurological syndrome observed in lung cancer patients. More research on the clinical characteristics of small cell lung cancer (SCLC) and anti-GABABR encephalitis should be carried out to improve diagnosis and treatment. METHODS: We retrospectively investigated the clinical characteristics, auxiliary examination results, and treatment responses in patients with SCLC and anti-GABABR encephalitis at Beijing Chaoyang Hospital from January 2010 to December 2020. The study also retrospectively analyzed cases of SCLC and anti-GABABR encephalitis well documented in China. RESULTS: A total of 60 cases of SCLC and anti-GABABR encephalitis were analyzed in the study, two in our hospital, and 58 previously reported in the literature. The male:female ratio was 3:1, with a median age at presentation of 61 years (range: 40-81 years). Twenty-eight patients initially presented with seizures, four with cognitive disorder, and three with psychiatric symptoms. The major symptoms were epileptic seizures (n = 56; 96.9%), cognitive impairment (n = 47; 81.0%), psychiatric disorders (n = 45; 77.6%), and conscious disturbance (n = 32; 55.2%). Fifty-five patients underwent immunotherapy, and 23 patients underwent oncologic treatment in the literature. After a median follow-up duration of 8.8 (range, 0.5-37.0) months, nine patients showed good outcomes (modified Rankin Scale score, mRS ≤2), eight patients showed poor prognosis (mRS > 2), and 18 patients died. CONCLUSIONS: The clinical characteristics of SCLC and anti-GABABR encephalitis are seizures, cognitive impairment, and psychiatric disorders which affect middle-aged to elderly men in China. The long-term prognosis is relatively poor.
Sujet(s)
Encéphalite , Tumeurs du poumon , Carcinome pulmonaire à petites cellules , Sujet âgé , Chine/épidémiologie , Encéphalite/diagnostic , Encéphalite/thérapie , Femelle , Humains , Tumeurs du poumon/complications , Tumeurs du poumon/thérapie , Mâle , Adulte d'âge moyen , Récepteurs GABA-B , Études rétrospectives , Carcinome pulmonaire à petites cellules/complications , Carcinome pulmonaire à petites cellules/diagnostic , Carcinome pulmonaire à petites cellules/thérapieRÉSUMÉ
BACKGROUND: Few data exist on deep vein thrombosis (DVT) in patients with acute respiratory distress syndrome (ARDS), a group of heterogeneous diseases characterized by acute hypoxemia. STUDY DESIGN AND METHODS: We retrospectively enrolled 225 adults with ARDS admitted to the Beijing Chao-Yang Hospital and the First Affiliated Hospital of Shandong First Medical University between 1 January 2015 and 30 June 2020. We analyzed clinical, laboratory, and echocardiography data for groups with and without DVT and for direct (pulmonary) and indirect (extrapulmonary) ARDS subgroups. RESULTS: Ninety (40.0%) patients developed DVT. Compared with the non-DVT group, patients with DVT were older, had lower serum creatinine levels, lower partial pressure of arterial oxygen/fraction of inspired oxygen, higher serum procalcitonin levels, higher Padua prediction scores, and higher proportions of sedation and invasive mechanical ventilation (IMV). Multivariate analysis showed an association between age, serum creatinine level, IMV, and DVT in the ARDS cohort. The sensitivity and specificity of corresponding receiver operating characteristic curves were not inferior to those of the Padua prediction score and the Caprini score for screening for DVT in the three ARDS cohorts. Patients with DVT had a significantly lower survival rate than those without DVT in the overall ARDS cohort and in the groups with direct and indirect ARDS. CONCLUSIONS: The prevalence of DVT is high in patients with ARDS. The risk factors for DVT are age, serum creatinine level, and IMV. DVT is associated with decreased survival in patients with ARDS.
RÉSUMÉ
Objective: To analyze the discrepancy between self-rating and professional evaluation of mental health status in coronavirus disease 2019 (COVID-19) cluster cases. Method: A total of 65 COVID-19 cluster cases admitted to Beijing Ditan Hospital Capital Medical University from June 14, 2020 to June 16, 2020 were included in the study. Mental health assessment was completed by self-rating and professional evaluation. The gaps between self-rating and professional evaluation in different demographic characteristics were compared. Results: The results of self-rating were inconsistent with those of professional evaluation. The gap was statistically different among certain demographic subgroups. As for anxiety, the gaps had remarkable statistics differences in subgroups of sex, monthly income, infection way, and anxiety/depression medical history. Similarly, in the terms of depression, the gaps had significant statistic differences in the subgroups of the medical history of anxiety/depression, history of physical disease, employment status and the insurance type, marriage, education (year), residing in Beijing (year), and the monthly income. Conclusion: Compared to the professional evaluation, patients had a higher self-rating, which may be related to some demographic characteristics. It suggests that screening can be conducted in patients with COVID-19 by self-rating first, and then professional evaluation should be carried out in the patients with suspicious or positive results.
RÉSUMÉ
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a clinical syndrome characterized by acute hypoxaemia, and few studies have reported the incidence of deep vein thrombosis (DVT) in direct ARDS caused by bacterial pneumonia. We performed a study to evaluate the prevalence, risk factors, prognosis and potential thromboprophylaxis strategies of DVT in these patients. METHODS: Ninety patients were included. Demographic, and clinical data, laboratory data and outcome variables were obtained, and comparisons were made between the DVT and non-DVT groups. RESULTS: Of the 90 patients, 40 (44.4%) developed lower extremity DVT. Compared with non-DVT patients, DVT patients had higher systemic inflammatory response syndrome (SIRS) scores, lower serum creatinine levels, higher D-dimer levels, and higher rates of sedative therapy and invasive mechanical ventilation (IMV). Multivariate analysis showed an association between the SIRS score (OR 3.803, P = 0.027), level of serum creatinine (OR 0.988, P = 0.001), IMV (OR 5.822, P = 0.002) and DVT. The combination of SIRS score, serum creatinine level and IMV has a sensitivity of 80.0% and a specificity of 74.0% for screening for DVT. The survival rate within 28 days after ARDS in the DVT group was significantly lower than that in the non-DVT group (P = 0.003). There was no difference in the prevalence of DVT between the 41 patients who received thromboprophylaxis and the 49 patients who did not receive thromboprophylaxis (41.5% vs 46.9%; P = 0.603). CONCLUSIONS: The prevalence of DVT is high in hospitalized patients with direct ARDS caused by bacterial pneumonia and may be associated with adverse outcomes. The current thromboprophylaxis strategies may need to be further optimized.
Sujet(s)
Pneumopathie bactérienne/complications , /complications , /microbiologie , Thrombose veineuse/étiologie , Sujet âgé , Sujet âgé de 80 ans ou plus , Femelle , Humains , Mâle , Adulte d'âge moyen , Prévalence , Pronostic , Études rétrospectives , Facteurs de risque , Thrombose veineuse/épidémiologie , Thrombose veineuse/prévention et contrôleRÉSUMÉ
BACKGROUND: Coronavirus disease-19 (COVID-19) has become a world health threaten. Its risk factors with death were still not known. White blood cells (WBC) count as a reflection of inflammation has played a vital role in COVID-19, however its level with death is not yet investigated. METHODS: In this retrospective, single-center study, all confirmed patients with COVID-19 at West Branch of Union Hospital from Jan 29 to Feb 28, 2020 were collected and analyzed. Demographic and clinical data including laboratory examinations were analyzed and compared between recovery and death patients. RESULTS: A total of 163 patients including 33 death cases were included in this study. Significant association was found between WBC count and death (HR = 1.14, 95%CI: 1.09-1.20, p < 0.001). The regression analysis results showed there was a significant association between WBC count and death (HR = 5.72, 95%CI: 2.21-14.82, p < 0.001) when use the second quartile as a cutoff value (> 6.16 × 10^9/L). The difference was still exist after adjusting for confounding factors (HR = 6.26, 95%CI: 1.72-22.77, p = 0.005). In addition, Kaplan-meier survival analysis showed that there was a significant decline of the cumulative survival rate (p < 0.001) in those with WBC count ≥6.16 × 10^9/L. CONCLUSION: WBC count at admission is significantly corelated with death in COVID-19 patients. Higher level of WBC count should be given more attention in the treatment of COVID-19.
Sujet(s)
COVID-19/sang , COVID-19/mortalité , Leucocytes , Admission du patient , SARS-CoV-2/génétique , Adulte , Sujet âgé , Sujet âgé de 80 ans ou plus , COVID-19/épidémiologie , COVID-19/virologie , Chine/épidémiologie , Femelle , Humains , Inflammation/sang , Inflammation/virologie , Estimation de Kaplan-Meier , Numération des leucocytes , Mâle , Adulte d'âge moyen , Réaction de polymérisation en chaine en temps réel , Études rétrospectives , Facteurs de risque , Taux de survieRÉSUMÉ
BACKGROUND: Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression. METHODS: Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation. RESULTS: A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO2) using the training dataset. AUCs of the NSL and NL models in the test dataset were 0.910 and 0.871, respectively. The risk scoring systems corresponding to these two models were established. The AUCs of the NSL and NL scores in the training dataset were 0.928 and 0.901, respectively. At the optimal cut-off value of NSL score, the sensitivity and specificity were 94% and 82%, respectively. The sensitivity and specificity of NL score were 94% and 75%, respectively. CONCLUSIONS: These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO2 cannot be tested.
Sujet(s)
COVID-19/mortalité , Mortalité hospitalière , L-Lactate dehydrogenase/sang , Modèles théoriques , Granulocytes neutrophiles/cytologie , Oxygène/sang , Sujet âgé , COVID-19/thérapie , Chine , Évolution de la maladie , Femelle , Humains , Iran , Mâle , Adulte d'âge moyen , Pronostic , Études rétrospectives , Appréciation des risquesRÉSUMÉ
Although vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are under development, the antigen epitopes on the virus and their immunogenicity are poorly understood. Here, we simulate the 3D structures and predict the B cell epitopes on the spike (S), envelope (E), membrane (M), and nucleocapsid (N) proteins of SARS-CoV-2 using structure-based approaches and validate epitope immunogenicity by immunizing mice. Almost all 33 predicted epitopes effectively induce antibody production, six of these are immunodominant epitopes in individuals, and 23 are conserved within SARS-CoV-2, SARS-CoV, and bat coronavirus RaTG13. We find that the immunodominant epitopes of individuals with domestic (China) SARS-CoV-2 are different from those of individuals with imported (Europe) SARS-CoV-2, which may be caused by mutations on the S (G614D) and N proteins. Importantly, we find several epitopes on the S protein that elicit neutralizing antibodies against D614 and G614 SARS-CoV-2, which can contribute to vaccine design against coronaviruses.
Sujet(s)
Protéines de la nucléocapside des coronavirus/immunologie , Déterminants antigéniques des lymphocytes B/immunologie , SARS-CoV-2/immunologie , Glycoprotéine de spicule des coronavirus/immunologie , Protéines de la matrice virale/immunologie , Protéines viroporines/immunologie , Adolescent , Adulte , Sujet âgé , Animaux , Anticorps neutralisants/immunologie , Anticorps antiviraux/immunologie , Antigènes viraux/immunologie , COVID-19/immunologie , COVID-19/thérapie , Vaccins contre la COVID-19/immunologie , Enfant , Déterminants antigéniques des lymphocytes B/métabolisme , Femelle , Humains , Mâle , Souris , Souris de lignée BALB C , Adulte d'âge moyen , Jeune adulteRÉSUMÉ
BACKGROUND AND PURPOSE: An increasing number of reports have observed thrombosis in severe cases of COVID-19. The aim of this study was to evaluate the incidence of thromboembolism in mild/moderate cases of COVID-19. All of the patients had normal coagulation tests and none had any overt thrombotic complications. Our findings indicate that it is important to screen the thrombotic status of cases with mild/moderate COVID-19. METHODS: Between 11 June and 8 July 2020, 23 patients with mild/moderate COVID-19 pneumonia consented to having computed tomography pulmonary angiography (CPTA) and computed tomography venography (CTV) scans of the lungs and extremity veins. Doppler ultrasound (DUS) was also performed in all patients for screening. The incidence, clinical manifestations, laboratory examinations, imaging features, and prognosis, of patients with venous thromboembolism (VTE) were analyzed and compared with those of patients with COVID-19 pneumonia without VTE. RESULTS: Nineteen patients (82.6%) had VTE, mainly distal limb thrombosis. Only one of the VTE patients was positive when screened by DUS; the other VTE patients were negative by DUS. All of the mild/moderate patients with VTE were screened by CTPA + CTV. Blood tests for inflammatory, coagulation, and biochemical, parameters were all within the normal range, except for WBC and LDH. CONCLUSIONS: When using CTV screening for DVT, we found that the incidence of thrombosis in patients with mild/moderate COVID-19 markedly increased to 82.6% (19/23). Screening for thrombosis is therefore important in patients with COVID-19. CTV is more sensitive than DUS for the detection of thrombosis. More research is now needed to evaluate the significance of thrombosis in COVID-19 pneumonia.
Sujet(s)
COVID-19/complications , SARS-CoV-2 , Thromboembolisme veineux/épidémiologie , Adulte , Femelle , Humains , Mâle , Adulte d'âge moyen , Prévalence , Tomodensitométrie/méthodes , Échographie-doppler , Thromboembolisme veineux/imagerie diagnostiqueRÉSUMÉ
Coronavirus disease 2019 (COVID-19) has rapidly spread on a global scale. Therefore, it is urgent to identify risk factors that could be associated with severe type of COVID-19 from common type.For this retrospective study, we recruited patients with COVID-19 in Wuhan and Zhoukou. Patients were classified into a severe group and common group based on guidelines after admission. Clinical manifestations and laboratory tests were compared, and univariate binary logistic regression and multivariate regression analyses were applied to assess potential risk factors.A total of 126 patients were recruited from January 23 to March 23, 2020. Ninety cases were identified as the common type and 36 as the severe type. The average age in the severe group was significantly older than that in the common group (Pâ=â.008). Patients with severe COVID-19 exhibited higher proportions of dyspnea (Pâ=â.001), weakness (Pâ=â.023), and diarrhea (Pâ=â.046). Moreover, there were more patients with hypertension (Pâ=â.01) or coinfection (Pâ=â.001) in the severe group than in the common group. Additionally, severe COVID-19 was associated with increased neutrophil counts (Pâ<â.001), C-reactive protein (Pâ<â.001), procalcitonin (Pâ=â.024) and decreased lymphocyte counts (Pâ=â.001), hemoglobin (Pâ<â.001), total protein (TP) (Pâ<â.001), and albumin (ALB) (Pâ<â.001). Based on logistic regression analysis, dyspnea (Pâ<â.001), TP (Pâ=â.042), and ALB (Pâ=â.003) were independent risk factors for severe disease.Patients with lower TP, ALB, and dyspnea should be carefully monitored, and early intervention should be implemented to prevent the development of severe disease.
Sujet(s)
Infections à coronavirus/diagnostic , Évolution de la maladie , Hospitalisation , Pneumopathie virale/diagnostic , Adulte , Sujet âgé , Sujet âgé de 80 ans ou plus , Betacoronavirus , Protéines du sang/analyse , Protéine C-réactive/analyse , COVID-19 , Chine , Dyspnée/virologie , Femelle , Humains , Mâle , Adulte d'âge moyen , Pandémies , Études rétrospectives , Facteurs de risque , SARS-CoV-2 , Sérum-albumine humaine/analyse , Jeune adulteRÉSUMÉ
Objective: The large number of clinical variables associated with coronavirus disease 2019 (COVID-19) infection makes it challenging for frontline physicians to effectively triage COVID-19 patients during the pandemic. This study aimed to develop an efficient deep-learning artificial intelligence algorithm to identify top clinical variable predictors and derive a risk stratification score system to help clinicians triage COVID-19 patients. Methods: This retrospective study consisted of 181 hospitalized patients with confirmed COVID-19 infection from January 29, 2020 to March 21, 2020 from a major hospital in Wuhan, China. The primary outcome was mortality. Demographics, comorbidities, vital signs, symptoms, and laboratory tests were collected at initial presentation, totaling 78 clinical variables. A deep-learning algorithm and a risk stratification score system were developed to predict mortality. Data were split into 85% training and 15% testing. Prediction performance was compared with those using COVID-19 severity score, CURB-65 score, and pneumonia severity index (PSI). Results: Of the 181 COVID-19 patients, 39 expired and 142 survived. Five top predictors of mortality were D-dimer, O2 Index, neutrophil:lymphocyte ratio, C-reactive protein, and lactate dehydrogenase. The top 5 predictors and the resultant risk score yielded, respectively, an area under curve (AUC) of 0.968 (95% CI = 0.87-1.0) and 0.954 (95% CI = 0.80-0.99) for the testing dataset. Our models outperformed COVID-19 severity score (AUC = 0.756), CURB-65 score (AUC = 0.671), and PSI (AUC = 0.838). The mortality rates for our risk stratification scores (0-5) were 0%, 0%, 6.7%, 18.2%, 67.7%, and 83.3%, respectively. Conclusions: Deep-learning prediction model and the resultant risk stratification score may prove useful in clinical decisionmaking under time-sensitive and resource-constrained environment.