Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection.

Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns.

Omicron BA.1 breakthrough infections in inactivated COVID-19 vaccine recipients induced distinct pattern of antibody and T cell responses to different Omicron sublineages.

The adaptive immunity against SARS-CoV-2 prototype strain and Omicron sublineages induced by BA.1 breakthrough infection in vaccinees of inactivated COVID-19 vaccines have not been well characterized. Here, we report that BA.1 breakthrough infection induced mucosal sIgA and resulted in higher IgG titers against prototype strain and Omicron sublineages in vaccinees than in vaccine naïve-infected individuals. BA.1 breakthrough infection boosted antibody-dependent cellular cytotoxicity and antibody-dependent cellular phagocytosis to prototype strain and BA.1, BA.1.1, BA.2, BA.2.12.1, and BA.2.75 but not BA.4/5 and induced neutralization against prototype strain and BA.1, BA.1.1, BA.2, BA.2.12.1, BA.2.75, and BA.4/5 but not BF.7, BQ.1, and XBB. In total, BA.1 breakthrough infection individuals produced less extensive sIgA, plasma IgG and NAb responses against Omicron sublineages compared with those against prototype strain. Further, BA.1 breakthrough infection induced recall B cell response to prototype strain and Omicron variant, primarily targeting memory B cells producing conserved epitopes. Memory T cell responses against Omicron is largely preserved. Individuals with vaccine booster did not induce more beneficial immune responses to Omicron sublineages upon BA.1 breakthrough infection than those with primary vaccine dose only. The breakthrough infection individuals produced stronger adaptive immunity than those of inactivated vaccine-healthy individuals. These data have important implications for understanding the vaccine effectiveness and adaptive immunity to breakthrough infection in individuals fully immunized with inactivated vaccines. Omicron sublineages, especially for those emerged after BA.4/5 strain, evade NAb responses induced by BA.1 breakthrough infection. It is urgent to optimize the vaccine immunogen design and formulations to SARS-CoV-2 variants.

Spatio-temporal evolution dynamic, effect and governance policy of construction land use in urban agglomeration: case study of Yangtze River Delta, China

The urban construction land change is the most obvious and complex spatial phenomenon in urban agglomerations which has attracted extensive attention of scholars in different fields. Yangtze River Delta Urban Agglomeration is the most mature urban agglomeration in China, a typical representative in both China and the world. This paper analyzes the evolution dynamic, effect and governance policy of urban construction land in Yangtze River Delta Urban Agglomeration 2011-2020 using a combination of BCG model, decoupling model and GIS tools. The findings are as follows. (1) There are large intercity differences in urban construction land in urban agglomerations, but the spatial heterogeneity is gradually decreasing. (2) The change trends and evolution patterns of urban construction land in urban agglomerations are increasingly diversified, with emergence of a variety of types such as rapid growth, slow growth, inverted U-shape, stars, cows, question and dogs. (3) The population growth, economic development and income improvement corresponding to the change of urban construction land in urban agglomerations have no desirable effect, with most cities in the expansive negative decoupling state. (4) The decoupling types show increasingly complex changes, in evolution, degeneration and unchanged states. Affected by economic transformation and the outbreak of COVID-19, an increasing number of cities are in strong negative decoupling and degeneration states, threatening the sustainable development of urban agglomerations. (5) Based on the division of urban agglomerations into three policy areas of Transformation Leading, Land Dependent, and Land Reduction, the response strategies for each are proposed, and a differentiated land use zoning management system is established.

Immunogenicity and safety of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV) coadministered with quadrivalent split-virion inactivated influenza vaccine and 23-valent pneumococcal polysaccharide vaccine in China: A multicentre, non-inferiority, open-label, randomised, controlled, phase 4 trial.

BACKGROUND: The safety and immunogenicity of the coadministration of an inactivated SARS-CoV-2 vaccine (Sinopharm BBIBP-CorV), quadrivalent split-virion inactivated influenza vaccine (IIV4), and 23-valent pneumococcal polysaccharide vaccine (PPV23) in adults in China is unknown. METHODS: In this open-label, non-inferiority, randomised controlled trial, participants aged ≥ 18 years were recruited from the community. Individuals were eligible if they had no history of SARS-CoV-2 vaccine or any pneumonia vaccine and had not received an influenza vaccine during the 2020-21 influenza season. Eligible participants were randomly assigned (1:1:1), using block randomization stratified, to either: SARS-CoV-2 vaccine and IIV4 followed by SARS-CoV-2 vaccine and PPV23 (SARS-CoV-2 + IIV4/PPV23 group); two doses of SARS-CoV-2 vaccine (SARS-CoV-2 vaccine group); or IIV4 followed by PPV23 (IIV4/PPV23 group). Vaccines were administered 28 days apart, with blood samples taken on day 0 and day 28 before vaccination, and on day 56. RESULTS: Between March 10 and March 15, 2021, 1152 participants were recruited and randomly assigned to three groups (384 per group). 1132 participants were included in the per-protocol population (375 in the SARS-CoV-2 + IIV4/PPV23 group, 380 in the SARS-CoV-2 vaccine group, and 377 in the IIV4/PPV23 group). The seroconversion rate (100 % vs 100 %) and GMT (159.13 vs 173.20; GMT ratio of 0.92 [95 % CI 0.83 to 1.02]) of SARS-CoV-2 neutralising antibodies in the SARS-CoV-2 + IIV4/PPV23 group was not inferior to those in the SARS-CoV-2 vaccine group. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group in terms of seroconversion rates and GMT of influenza virus antibodies for all strains except for the seroconversion rate for the B/Yamagata strain. The SARS-CoV-2 + IIV4/PPV23 group was not inferior to the IIV4/PPV23 group regarding seroconversion rates and GMC of Streptococcus pneumoniae IgG antibodies specific to all serotypes. All vaccines were well tolerated. CONCLUSIONS: The coadministration of the inactivated SARS-CoV-2 vaccine and IIV4/PPV23 is safe with satisfactory immunogenicity. This study is registered with ClinicalTrials.gov, NCT04790851.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study Características clínicas y pronóstico de los pacientes con COVID-19 y síndrome metabólico: un estudio multicéntrico y retrospectivo

Background Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. Methods Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. Results Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P = 0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P < 0.001) and critical illness (4.4% vs. 0.5%, P = 0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062–19.201, P < 0.001) and lymphopenia (OR 3.315, 95% CI 1.306–8.411, P = 0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. Conclusions 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

Background: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. Methods: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. Results: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P = 0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P < 0.001) and critical illness (4.4% vs. 0.5%, P = 0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P < 0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P = 0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. Conclusions: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Antecedentes: Pocos estudios han investigado el impacto del síndrome metabólico (SM) en la enfermedad por coronavirus 2019 (COVID-19). Describimos las características clínicas y el pronóstico de los pacientes con COVID-19 confirmados con SM durante la hospitalización y después del alta. Métodos: Se incluyó de forma retrospectiva a 233 pacientes con COVID-19 de los hospitales de 8 ciudades de Jiangsu (China). Se describieron sus características clínicas y se analizaron los factores de riesgo de enfermedad grave mediante un análisis de regresión logística. Resultados: De los 233 pacientes, 45 (19,3%) tenían EM. La mediana de edad de estos pacientes con EM fue significativamente mayor que la de los pacientes sin él (53,0 años frente a 46,0 años; p = 0,004). No hubo diferencias significativas en cuanto a los síntomas clínicos, las imágenes de TC torácica anormales y los fármacos de tratamiento entre los 2 grupos. Hubo más pacientes con EM que tuvieron enfermedades graves (33,3% frente a 6,4%; p < 0,001) y críticas (4,4% frente a 0,5%; p = 0,037) que los pacientes sin EM. Las proporciones de insuficiencia respiratoria y síndrome de dificultad respiratoria aguda en los pacientes con EM también fueron mayores que en los pacientes sin EM durante la hospitalización. El análisis multivariante mostró que la EM concurrente (odds ratio [OR] 7,668; intervalo de confianza [IC] del 95%: 3,062-19,201; p < 0,001) y la linfopenia (OR 3,315; IC del 95%: 1,306-8,411; p = 0,012) eran factores de riesgo independientes de COVID-19 grave. En una mediana de seguimiento de 28 días tras el alta, se encontró neumonía bilateral en el 95,2% de los pacientes con EM, mientras que solo la presentaron el 54,7% de los pacientes sin EM. Conclusiones: El 19,3% de los pacientes con COVID-19 tenían EM en nuestro estudio. Los pacientes con COVID-19 y EM son más propensos a desarrollar complicaciones graves y tienen peor pronóstico. Se debe prestar más atención a los pacientes con COVID-19 y EM.

Spatio-Temporal Evolution Dynamic, Effect and Governance Policy of Construction Land Use in Urban Agglomeration: Case Study of Yangtze River Delta, China

The urban construction land change is the most obvious and complex spatial phenomenon in urban agglomerations which has attracted extensive attention of scholars in different fields. Yangtze River Delta Urban Agglomeration is the most mature urban agglomeration in China, a typical representative in both China and the world. This paper analyzes the evolution dynamic, effect and governance policy of urban construction land in Yangtze River Delta Urban Agglomeration 2011–2020 using a combination of BCG model, decoupling model and GIS tools. The findings are as follows. (1) There are large intercity differences in urban construction land in urban agglomerations, but the spatial heterogeneity is gradually decreasing. (2) The change trends and evolution patterns of urban construction land in urban agglomerations are increasingly diversified, with emergence of a variety of types such as rapid growth, slow growth, inverted U-shape, stars, cows, question and dogs. (3) The population growth, economic development and income improvement corresponding to the change of urban construction land in urban agglomerations have no desirable effect, with most cities in the expansive negative decoupling state. (4) The decoupling types show increasingly complex changes, in evolution, degeneration and unchanged states. Affected by economic transformation and the outbreak of COVID-19, an increasing number of cities are in strong negative decoupling and degeneration states, threatening the sustainable development of urban agglomerations. (5) Based on the division of urban agglomerations into three policy areas of Transformation Leading, Land Dependent, and Land Reduction, the response strategies for each are proposed, and a differentiated land use zoning management system is established.

Clinical Features of Patients With COVID-19 With Nonalcoholic Fatty Liver Disease.

Previous studies reported that coronavirus disease 2019 (COVID-19) was likely to result in liver injury. However, few studies investigated liver injury in patients with COVID-19 with chronic liver diseases. We described the clinical features in patients with COVID-19 with nonalcoholic fatty liver disease (NAFLD). Confirmed patients with COVID-19 from hospitals in 10 cities of Jiangsu Province, China, were retrospectively included between January 18, 2020, and February 26, 2020. The hepatic steatosis index (HSI) was used to defined NAFLD. A total of 280 patients with COVID-19 were enrolled. Eighty-six (30.7%) of 280 patients with COVID-19 were diagnosed as NAFLD by HSI. One hundred (35.7%) patients presented abnormal liver function on admission. The median alanine aminotransferase (ALT) levels (34.5 U/L vs. 23.0 U/L; P < 0.001) and the proportion of elevated ALT (>40 U/L) (40.7% vs. 10.8%; P < 0.001) were significantly higher in patients with NAFLD than in patients without NAFLD on admission. The proportion of elevated ALT in patients with NAFLD was also significantly higher than patients without NAFLD (65.1% vs. 38.7%; P < 0.001) during hospitalization. Multivariate analysis showed that age over 50 years (odds ratio [OR], 2.077; 95% confidence interval [CI], 1.183, 3.648; P = 0.011) and concurrent NAFLD (OR, 2.956; 95% CI, 1.526, 5.726; P = 0.001) were independent risk factors of ALT elevation in patients with COVID-19, while the atomized inhalation of interferon α-2b (OR, 0.402; 95% CI, 0.236, 0.683; P = 0.001) was associated with a reduced risk of ALT elevation during hospitalization. No patient developed liver failure or death during hospitalization. The complications and clinical outcomes were comparable between patients with COVID-19 with and without NAFLD. Conclusion: Patients with NAFLD are more likely to develop liver injury when infected by COVID-19. However, no patient developed severe liver-related complications during hospitalization.

Clinical and virological course of patients with coronavirus disease 2019 in Jiangsu province, China: a retrospective, multi-center cohort study.

BACKGROUND: The clinical and virological course of patients with coronavirus disease 2019 (COVID-19) are lacking. We aimed to describe the clinical and virological characteristics of COVID-19 patients from 10 designated hospitals in 10 cities of Jiangsu province, China. The factors associated with the clearance of SARS-CoV-2 were investigated. METHODS: A total of 328 hospitalized patients with COVID-19 were retrospectively recruited. The epidemiological, clinical, laboratory, radiology and treatment data were collected. The associated factors of SARS-CoV-2 clearance were analyzed. RESULTS: The median duration of hospitalization was 16.0 days (interquartile range [IQR] 13.0-21.0 days). On multivariate Cox regression analysis, age > 60 years (hazard ratio [HR] 0.643, 95% confidence interval [CI] 0.454-0.911, P = 0.013) was associated with the delayed SARS-CoV-2 clearance, while the atomized inhalation of interferon α-2b could improve the clearance of SARS-CoV-2 (HR, 1.357, 95% CI 1.050-1.755, P = 0.020). Twenty-six (7.9%) patients developed respiratory failure and 4 (1.2%) patients developed ARDS. Twenty (6.1%) patients were admitted to the ICU, while no patient was deceased. CONCLUSIONS: Our study found that age > 60 years was associated with the delayed SARS-CoV-2 clearance, while treated with atomized inhalation of interferon α-2b could promote the clearance of SARS-CoV-2.

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

BACKGROUND: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. METHODS: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. RESULTS: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, P=0.004). There were no significant differences of clinical symptoms, abnormal chest CT images, and treatment drugs between two groups. More patients with MS had severe illness (33.3% vs. 6.4%, P<0.001) and critical illness (4.4% vs. 0.5%, P=0.037) than non-MS patients. The proportions of respiratory failure and acute respiratory distress syndrome in MS patients were also higher than non-MS patients during hospitalization. Multivariate analysis showed that concurrent MS (odds ratio [OR] 7.668, 95% confidence interval [CI] 3.062-19.201, P<0.001) and lymphopenia (OR 3.315, 95% CI 1.306-8.411, P=0.012) were independent risk factors of severe illness of COVID-19. At a median follow-up of 28 days after discharge, bilateral pneumonia was found in 95.2% of MS patients, while only 54.7% of non-MS patients presented bilateral pneumonia. CONCLUSIONS: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Nutritional status is closely related to the severity of COVID-19: a multi-center retrospective study.

INTRODUCTION: Nutritional status has been defined as an individual's health condition. The relationship between the progression of COVID-19 and Nutritional status is still unclear. We analyzed the clinical characteristics of 342 coronavirus disease 2019 (COVID-19) patients, and analyzed the relationship between the progression of COVID-19 and Nutritional status. METHODOLOGY: 342 COVID-19 were enrolled from ten different hospitals in China. The clinical characteristics were collected and analyzed. RESULTS: The body mass index (BMI) of the mild patients (Group A) was higher than those in severe patients (Group B) and critical patients (Group C); The lactate dehydrogenase (LDH) level of Group A was lower than those of the other two groups; Sex, age, and BMI, was strongly correlated with Clinical classification (CT); Among the laboratory test results, Neutrophil (NEU%), Aspartate aminotransferase (AST), LDH, and blood glucose (BG) were positively correlated with CT; Lymphocyte ( LYM%), Platelet (PLT), Albumin (ALB), and Creatinine (Cr) were negatively correlated with CT. BMI, NEU%, LYM%, ALB, Cr, and PLT are all protective factors that affect CT. CONCLUSION: People with poor nutritional status (lower BMI and ALB) have a higher risk of developing severe disease after infection with SARS-CoV-2. In the clinical treatment of COVID-19, individualized nutritional support is very important for the rehabilitation of patients.

Single-cell transcriptomes of peripheral blood cells indicate and elucidate severity of COVID-19.

The blood and immune system of coronavirus disease 2019 (COVID-19) infected patients are dysfunctional, and numerous studies have been conducted to resolve their characteristics and pathogenic mechanisms. Nevertheless, the variations of immune responses along with disease severity have not been comprehensively documented. Here, we profiled the single-cell transcriptomes of 96,313 peripheral blood mononuclear cells (PBMCs) derived from 12 COVID-19 patients (including four moderate, four severe and four critical cases) and three healthy donors. We showed that proliferative CD8 effector T cells with declined immune functions and cytotoxicity accumulated in the critical stage. By contrast, the quantity of natural killer (NK) cells was significantly reduced, while they exhibited enhanced immune activities. Notably, a gradually attenuated responseto COVID-19 along with disease severity was observed in monocytes, in terms of cellular composition, transcriptional discrepancy and transcription factor regulatory network. Furthermore, we identified immune cell-type dependent cytokine signatures distinguishing the severity of COVID-19 patients. In addition, cell interactions between CD8 effector T/NK cells and monocytes mediated by inflammatory cytokines were enhanced in moderate and severe stages, but weakened in critical cases. Collectively, our work uncovers the cellular and molecular players underlying the disordered and heterogeneous immune responses associated with COVID-19 severity, which could provide valuable insights for the treatment of critical COVID-19 patients.

A case series of COVID-19 patients with chronic hepatitis B virus infection.

Previous studies reported that coronavirus disease 2019 (COVID-19) was likely to result in liver injury. However, few studies reported the impacts of COVID-19 on liver function in patients with chronic liver diseases. We aimed to describe a case series of COVID-19 patients with chronic hepatitis B virus (HBV) infection. Confirmed hospitalized COVID-19 patients from hospitals in 10 cities of Jiangsu province, China, were retrospectively included between 18 January 2020 and 26 February 2020. Demographic information, epidemiologic data, clinical features, and treatment data were extracted from medical records. Seven COVID-19 patients with chronic HBV infection were included. Six (85.7%) patients were male. The patients aged from 33 to 49 years. Two patients had HBV-related cirrhosis. One patient (14.3%) was positive for serum HBV e-antigen. On admission, 1 (14.3%) patient had mildly elevated alanine aminotransferase (ALT) level (>40 U/L) and 1 (14.3%) had elevated aspartate aminotransferase (AST) level (>40 U/L). The serum albumin level and platelet counts were decreased in two patients with HBV-related liver cirrhosis. Three (42.9%) patients had elevated ALT level and 2 (28.6%) patients had elevated AST level in hospitalization. However, the peak ALT and AST level during hospitalization was 51 U/L and 44 U/L, respectively. As of 29 February 2020, all patients were discharged. No patient was admitted to the intensive care units or developed liver failure during hospitalization. The abnormalities of liver function are not uncommon on COVID-19 patients with chronic HBV infection in our case series. However, no patient developed severe liver-related complications during hospitalization.

Risk factors of liver injury in patients with coronavirus disease 2019 in Jiangsu, China: A retrospective, multi-center study.

We aimed to describe liver injury and identify the risk factors of liver injury in coronavirus disease (COVID-19) patients without chronic liver diseases (CLD). The clinical data of 228 confirmed COVID-19 patients without CLD were retrospectively collected from ten hospitals in Jiangsu, China. Sixty-seven (29.4%) of 228 patients without CLD showed abnormal liver function on admission, including increased alanine aminotransferase (ALT) (25 [11.0%]) U/L, aspartate aminotransferase (AST) 30 [13.2%]) U/L, gamma-glutamyl transferase (GGT) 28 [12.4%]) U/L, total bilirubin (Tbil) 16 [7.0%] µmol/L, and alkaline phosphatase (ALP) 10 [4.5%]) U/L. During hospitalization, 129 (56.3%) of 228 patients showed abnormal liver function, including elevated ALT (84 [36.8%]), AST (58 [25.4%]), GGT (67 [29.5%]), and Tbil (59 [25.9%]). Age over 50 years (odds ratio [OR], 2.086; 95% confidence interval [CI], 1.030-4.225; p = .041), male sex (OR, 2.737; 95% CI, 1.418-5.284; p = .003), and lopinavir-ritonavir (OR, 2.504; 95% CI, 1.187-5.283; p = .016) were associated with higher risk of liver function abnormality, while the atomized inhalation of interferon α-2b (OR, 0.256; 95% CI 0.126-0.520; p < .001) was associated with reduced risk of liver function abnormality during hospitalization. Mild to moderate liver injury was common in COVID-19 patients in Jiangsu, China. Age over 50 years, male sex, and lopinavir-ritonavir were the independent risk factors of liver impairment in COVID-19 patients during hospitalization.

Overweight and Obesity are Risk Factors of Severe Illness in Patients with COVID-19.

OBJECTIVE: This study aimed to observe the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) with overweight and obesity. METHODS: Consecutive patients with COVID-19 from 10 hospitals of Jiangsu province, China, were enrolled. RESULTS: A total of 297 patients with COVID-19 were included, and 39.39% and 13.47% of patients had overweight and obesity, respectively. The proportions of bilateral pneumonia (92.50% vs. 73.57%, P = 0.033) and type 2 diabetes (17.50% vs. 3.57%, P = 0.006) were higher in patients with obesity than lean patients. The proportions of severe illness in patients with overweight (12.82% vs. 2.86%, P = 0.006) and obesity (25.00% vs. 2.86%, P < 0.001) were significantly higher than lean patients. More patients with obesity developed respiratory failure (20.00% vs. 2.86%, P < 0.001) and acute respiratory distress syndrome (5.00% vs. 0%, P = 0.024) than lean patients. The median days of hospitalization were longer in patients with obesity than lean patients (17.00 days vs. 14.00 days, P = 0.029). Overweight (OR, 4.222; 95% CI: 1.322-13.476; P = 0.015) and obesity (OR, 9.216; 95% CI: 2.581-32.903; P = 0.001) were independent risk factors of severe illness. Obesity (HR, 6.607; 95% CI: 1.955-22.329; P = 0.002) was an independent risk factor of respiratory failure. CONCLUSIONS: Overweight and obesity were independent risk factors of severe illness in COVID-19 patients. More attention should be paid to these patients.

Corticosteroid therapy is associated with the delay of SARS-CoV-2 clearance in COVID-19 patients.

The impact of corticosteroid treatment on virological course of coronavirus disease 2019 (COVID-19) patients remains unclear. This study aimed to explore the association between corticosteroid and viral clearance in COVID-19. The clinical data of COVID-19 patients from 10 hospitals of Jiangsu, China, were retrospectively collected. Cox regression and Kaplan-Meier analysis were used to analyze the adverse factors of virus clearance. Of the 309 COVID-19 patients, eighty-nine (28.8%) patients received corticosteroid treatment during hospitalization. Corticosteroid group showed higher C-reactive protein (median 11.1 vs. 7.0 mg/l, P = 0.018) and lower lymphocytes (median 0.9 vs. 1.4 × 109/l, P < 0.001) on admission. Fever (93.3% vs. 65.0%, P < 0.001) and cough (69.7% vs. 57.3%, P = 0.043) were more common in corticosteroid group. The proportions of patients with severe illness (34.8% vs. 1.8%, P < 0.001), respiratory failure (25.8% vs. 1.4%, P < 0.001), acute respiratory distress syndrome (4.5% vs. 0%, P = 0.002), and admission to ICU (20.2% vs. 0.9%, P < 0.001) were significantly higher in corticosteroid group than non-corticosteroid group. The duration of virus clearance (median 18.0 vs. 16.0 days, P < 0.001) and hospitalization (median 17.0 vs. 15.0 days, P < 0.001) were also significantly longer in corticosteroid group than non-corticosteroid group. Treated with corticosteroid (Hazard ratio [HR], 0.698; 95% confidence interval [CI], 0.512 to 0.951; P = 0.023) was an adverse factor of the clearance of SARS-CoV-2, especially for male patients (HR, 0.620; 95% CI, 0.408 to 0.942; P = 0.025). The cumulative probability of SARS-CoV-2 clearance was lower in corticosteroid group (P < 0.001). Corticosteroid treatment may delay the SARS-CoV-2 clearance of COVID-19 patients and should be used with cautions.

Clinical findings of patients with coronavirus disease 2019 in Jiangsu province, China: A retrospective, multi-center study.

Limited data are available for clinical characteristics of patients with coronavirus disease 2019 (COVID-19) outside Wuhan. This study aimed to describe the clinical characteristics of COVID-19 and identify the risk factors for severe illness of COVID-19 in Jiangsu province, China. Clinical data of hospitalized COVID-19 patients were retrospectively collected in 8 hospitals from 8 cities of Jiangsu province, China. Clinical findings of COVID-19 patients were described and risk factors for severe illness of COVID-19 were analyzed. By Feb 10, 2020, 202 hospitalized patients with COVID-19 were enrolled. The median age of patients was 44.0 years (interquartile range, 33.0-54.0). 55 (27.2%) patients had comorbidities. At the onset of illness, the common symptoms were fever (156 [77.2%]) and cough (120 [59.4%]). 66 (32.7%) patients had lymphopenia. 193 (95.5%) patients had abnormal radiological findings. 11 (5.4%) patients were admitted to the intensive care unit and none of the patients died. 23 (11.4%) patients had severe illness. Severe illness of COVID-19 was independently associated with body mass index (BMI) ≥ 28 kg/m2 (odds ratio [OR], 9.219; 95% confidence interval [CI], 2.731 to 31.126; P<0.001) and a known history of type 2 diabetes (OR, 4.326; 95% CI, 1.059 to 17.668; P = 0.041). In this case series in Jiangsu Province, COVID-19 patients had less severe symptoms and had better outcomes than the initial COVID-19 patients in Wuhan. The BMI ≥ 28 kg/m2 and a known history of type 2 diabetes were independent risk factors of severe illness in patients with COVID-19.

Epidemiological and clinical features of asymptomatic patients with SARS-CoV-2 infection.

Few studies reported the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients with completely asymptomatic throughout the disease course. We investigated the epidemiological and clinical features of patients infected by SARS-CoV-2 without any symptoms. Patients with confirmed SARS-CoV-2 infection were retrospectively recruited. The demographic characteristics, clinical data, treatment, and outcomes of SARS-CoV-2 infected patients without any symptoms were analyzed. Fifteen (4.4%) of 342 SARS-CoV-2 infected patients did not develop any symptom during the course of the disease. The median time from exposure to diagnosis was 7.0 days (interquartile range [IQR]: 1.0-15.0 days). Of the 15 patients, 14 patients were diagnosed by tested positive for SARS-CoV-2 in throat swabs, while one patient was only tested positive for SARS-CoV-2 in anal swabs. During hospitalization, only 1 (6.7%) patient developed lymphopenia. Abnormalities of chest computed tomography examinations were detected in 8 (53.4%) patients on admission. As of 8 March 2020, all patients have been discharged. The median time of SARS-CoV-2 tested negative from admission was 7.0 days (IQR: 4.0-9.0 days). Patients without any symptoms but with SARS-CoV-2 exposure should be closely monitored and tested for SARS-CoV-2 both in anal and throat swabs to excluded the infection. Asymptomatic patients infected by SARS-CoV-2 have favorable outcomes.