Background Patients with cancer are a high-risk population in the COVID-19 pandemic. We aimed to describe clinical characteristics and outcomes of patients with cancer and COVID-19, and examined risk factors for mortality in this population. Methods We did a retrospective, multicentre, cohort study of 205 patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and with a pathological diagnosis of a malignant tumour in nine hospitals within Hubei, China, from Jan 13 to March 18, 2020. All patients were either discharged from hospitals or had died by April 20, 2020. Clinical characteristics, laboratory data, and cancer histories were compared between survivors and non-survivors by use of χ² test. Risk factors for mortality were identified by univariable and multivariable logistic regression models. Findings Between Jan 13 and Mar 18, 2020, 205 patients with cancer and laboratory-confirmed SARS-CoV-2 infection were enrolled (median age 63 years [IQR 56-70; range 14-96]; 109 [53%] women). 183 (89%) had solid tumours and 22 (11%) had haematological malignancies. The median duration of follow-up was 68 days (IQR 59-78). The most common solid tumour types were breast (40 [20%] patients), colorectal (28 [14%]), and lung cancer (24 [12%]). 54 (30%) of 182 patients received antitumour therapies within 4 weeks before symptom onset. 30 (15%) of 205 patients were transferred to an intensive care unit and 40 (20%) died during hospital admission. Patients with haematological malignancies had poorer prognoses than did those with solid tumours: nine (41%) of 22 patients with haematological malignancies died versus 31 (17%) of 183 patients with solid tumours (hazard ratio for death 3•28 [95% CI 1•56-6•91]; log rank p=0•0009). Multivariable regression analysis showed that receiving chemotherapy within 4 weeks before symptom onset (odds ratio [OR] 3•51 [95% CI 1•16-10•59]; p=0•026) and male sex (OR 3•86 [95% CI 1•57-9•50]; p=0•0033) were risk factors for death during admission to hospital. Interpretation Patients with cancer and COVID-19 who were admitted to hospital had a high case-fatality rate. Unfavourable prognostic factors, including receiving chemotherapy within 4 weeks before symptom onset and male sex, might help clinicians to identify patients at high risk of fatal outcomes. Funding National Natural Science Foundation of China.

Certain glucose-lowering medications have been implicated in the risk of fracture.While there is convincing evidence from randomized controlled trials (RCTs) that thiazolidinedione use is associated with a higher risk of fracture, the effects of metformin, insulin, and sulphonylureas on the risk of fracture remain equivocal because these medications are not generally investigated in RCTs. A meta-analysis of observational studies to provide further insights into the association between the use of metformin, insulin, sulphonylureas, or thiazolidinediones and the risk of fracture was performed. PubMed and Web of Science databases were searched to identify relevant observational studies. A random effects model was used to estimate the summary relative risks (RRs) with 95% confidence intervals (CIs). The use of insulin (RR 1.49, 95% CI 1.29, 1.73; n = 23 studies), sulphonylureas (RR 1.30, 95% CI 1.18, 1.43; n = 10), and thiazolidinediones (RR 1.24, 95% CI 1.13, 1.35; n = 14) was associated with an increased risk of fracture, whereas the use of metformin was associated with a reduced risk of fracture (RR 0.86, 95% CI 0.75, 0.99; n = 12). Regarding types of thiazolidinediones, both pioglitazone (RR 1.38, 95% CI 1.23, 1.54; n = 5) and rosiglitazone (RR 1.34, 95% CI 1.14, 1.58; n = 5) were positively associated with the risk of fracture. In summary, there is compelling evidence to discourage the use of thiazolidinediones in individuals with an increased risk of fracture, whereas metformin appears to have a good safety profile for the risk of fracture. The reduced risk of fracture with metformin could possibly be due to the reduced overall risk of fracture among metformin users, as this medication is typically prescribed in the early stages of type 2 diabetes mellitus. The use of insulin or sulphonylureas may increase fracture risk; this risk is most likely attributed to an increased risk of hypoglycaemia-induced falls. Further confirmation by additional RCTs is required to determine whether the observed association between the use of metformin, insulin, or sulphonylureas and the risk of fracture is due to treatment with these medications or confounding factors.

Traditional Chinese medicine has been used to treat disease in China for more than five thousand years. Over the last few decades it has been used increasingly in other countries as well. As its use has spread, interest in the adverse effects of traditional Chinese medicine, including epilepsy and epileptic seizures, has grown. To date, four types of traditional Chinese medicine have been found to induce epileptic seizures. In this review we will summarize the current knowledge about possible epileptogenic mechanisms of nux vomica, illicium henryi, betelnut and mulberry drawing on botanical, phytochemical, toxicological and animal studies.

Background The COVID-19 pandemic is a significant worldwide health crisis. Breast cancer patients with COVID-19 are fragile and require particular clinical care. This study aimed to identify the clinical characteristics of breast cancer patients with COVID-19 and the risks associated with anti-cancer treatment. Methods The medical records of breast cancer patients with laboratory-confirmed COVID-19 were collected among 9559 COVID-19 patients from seven designated hospitals from 13th January to 18th March 2020 in Hubei, China. Univariate and multivariate analyses were performed to assess risk factors for COVID-19 severity. Results Of the 45 breast cancer patients with COVID-19, 33 (73.3%) developed non-severe COVID-19, while 12 (26.7%) developed severe COVID-19, of which 3 (6.7%) patients died. The median age was 62 years, and 3 (6.7%) patients had stage IV breast cancer. Univariate analysis showed that age over 75 and the Eastern Cooperative Oncology Group (ECOG) score were associated with COVID-19 disease severity ( P < 0.05). Multivariate analysis showed that patients who received chemotherapy within 7 days had a significantly higher risk for severe COVID-19 (logistic regression model: RR = 13.886, 95% CI 1.014–190.243, P = 0.049; Cox proportional hazards model: HR = 13.909, 95% CI 1.086–178.150, P = 0.043), with more pronounced neutropenia and higher LDH, CRP and procalcitonin levels than other patients ( P < 0.05). Conclusions In our breast cancer cohort, the severity of COVID-19 could be associated with baseline factors such as age over 75 and ECOG scores. Chemotherapy within 7 days before symptom onset could be a risk factor for severe COVID-19, reflected by neutropenia and elevated LDH, CRP and procalcitonin levels.