Association of Padua prediction score with in-hospital prognosis in COVID-19 patients.

BACKGROUND: Nearly 20% novel coronavirus disease 2019 (COVID-19) patients have abnormal coagulation function. Padua prediction score (PPS) is a validated tools for venous thromboembolism (VTE) risk assessment. However, its clinical value in COVID-19 patients' evaluation was unclear. METHODS: We prospectively evaluated the VTE risk of COVID-19 patients using PPS. Demographic and clinical data were collected. Association of PPS with 28-day mortality was analyzed by multivariate logistic regression and Kaplan-Meier analysis. RESULTS: Two hundred and seventy-four continuous patients were enrolled, with total mortality of 17.2%. Patients in high PPS group, with significantly abnormal coagulation, have a higher levels of interleukin 6 (25.27 vs. 2.55 pg/ml, P < 0.001), prophylactic anticoagulation rate (60.7% vs. 6.5%, P < 0.001) and mortality (40.5% vs. 5.9%, P < 0.001) when compared with that in low PPS group. Critical patients showed higher PPS (6 vs. 2 score, P < 0.001) than that in severe patients. Multivariate logistic regression revealed the independent risk factors of in-hospital mortality included high PPS [odds ratio (OR): 7.35, 95% confidence interval (CI): 3.08-16.01], increased interleukin-6 (OR: 11.79, 95% CI: 5.45-26.20) and elevated d-dimer (OR: 4.65, 95% CI: 1.15-12.15). Kaplan-Meier analysis indicated patients with higher PPS had a significant survival disadvantage. Prophylactic anticoagulation in higher PPS patients shows a mild advantage of mortality but without statistical significance (37.1% vs. 45.7%, P = 0.42). CONCLUSION: Higher PPS associated with in-hospital poor prognosis in COVID-19 patients. Prophylactic anticoagulation showed a mild advantage of mortality in COVID-19 patients with higher PPS, but it remain to need further investigation.

[Novel coronavirus pneumonia (COVID-19) CT distribution and sign features].

Objective: To investigate the imaging findings of 2019 novel coronavirus pneumonia (COVID-19). Methods: From January 20 to February 5, 2020, a total of 130 patients diagnosed with COVID-19 from seven hospitals in China were collected. The imaging data were reviewed and analyzed in detail. Results: (1) Distribution: the lesion detected in the lung unilaterally in 14 cases (10.7%) and bilaterally in 116 cases (89.3%). According to the distribution in the lobes of the lung, all cases could be classified into subpleural distribution (102 cases, 78.4%), centrilobular distribution (99 cases, 76.1%) and diffused distribution (8 cases, 6.1%). (2) Number of lesions: single lesion 9 cases (6.9%); multiple lesions 113 cases (86.9%), diffuse lesions 8 cases (6.1%). (3) Imaging density: 70 cases (53.8%) of ground-glass opacity (GGO), 60 cases (46.2%) of GGO+consolidation. (4) Accompanying signs: 100 cases (76.9%) with vascular thickening, 98 cases (75.3%) with "pleural parallel sign" ; " intralobular septal thickening" in 100 cases (76.9%); "halo sign" in 13 cases (10%); "reversed-halo sign" in 6 cases (4.6%); pleural effusion in 3 cases (2.3%), and pneumatocele in 2 cases (1.5%); no case with pulmonary cavity. Among 35 patients that underwent follow-up CT, 21 patients (60%) improved while 14 (40%) exacerbated. Conclusions: COVID-19 imaging characteristic mainly has subpleural, centrilobular and diffused distribution. The first two distributions can overlap or progress to diffused distribution. In the later period, it was mainly manifested as organizing pneumonia and fibrosis. The most valuable characteristic is the pleural parallel sign.

[Intertumoral heterogeneity of molecular phenotype and analysis of prognosis in multifocal and multicentric breast cancer].

Objective: This study was designed to investigate the prognostic implications of the intertumoral heterogeneity of molecular phenotype in multifocal and multicentric breast cancer (MMBC). Methods: The clinical and follow-up data of 146 patients with MMBC from Jan.2009 to Dec. 2009 treated in Tumor Hospital Affiliated to Zhengzhou University were retrospectively analyzed. We used Kaplan-Meier curves to compare the survivals of patients who had tumors with molecular phenotypic heterogeneity and patients who had multifocal homogeneous tumors in molecular phenotype, and the survivals of patients who had heterogeneous tumor type and grade and who had homogeneous tumor type and grade.The corresponding hazard ratio was calculated by Cox proportional-hazards regression. Results: Intertumoral heterogeneity in histological type and grade of multiple breast cancer was detected in 16 of 146 patients (11.0%) and in 10 of 146 patients (6.8%), respectively. Interfocal heterogeneous molecular phenotype of multiple breast cancer was detected in 24 of 146 patients (16.4%). There was no significant difference in 5-year disease-free survival in multifocal cancer patients who had heterogeneous histological type and grade and who had homogeneous type and grade tumors (75.0% vs. 77.3%, P=0.808). Multifocal cancers patients who had heterogeneous tumorsin molecular phenotype compared with those with homogeneous tumors in molecular phenotype had worse 5-year disease-specific survival (78.7% vs. 58.3%, P=0.037), and had a greater risk of recurrence (HR=2.130, 95%CI=1.027-4.420; P=0.042). Phenotyping the additional cancer foci influenced the therapeutic decision in up to 16 patients(11.0%). Conclusions: Multifocal breast cancer patients who had heterogeneous tumors in molecular phenotype have a statistically significantly shorter disease-free survival. Phenotyping the additional cancer foci and managing with proper therapeutic decision may reduce the risk of recurrence or metastasis, and improve the outcomes of the patients.