Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochip™-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochip™-W system were equal to or less than 50 copies·μL −1 , which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochip™-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochip™-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochip™-W with the referenced kits was 98.15% for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochip™-W system provides a powerful platform for fighting the COVID-19 pandemic.

Background The aim of this study was to quantify the impact of coronavirus disease 2019 (COVID-19) on pediatric operations, and establish preoperative, intraoperative, and postoperative protocols to improve the pediatric operations. Methods We here compare the number of patients who underwent surgery in Chongqing Medical University Affiliated Children’s Hospital during the pandemic (January 23–March 11), after the pandemic (March 12–April 30), after our measures were put in place (May 1–May 21), and the equivalent period in 2019. Result During the COVID-19 pandemic, 62.68% fewer patients underwent surgery than during the homologous period of time 1 year earlier (P < 0.01). After the COVID-19 pandemic, the number of orchidopexy cases increased significantly from 175.14 to 504.57 per week (P < 0.01). The large number of patients that accrued in our hospital may have increased the risk of COVID-19 transmission. In response, hospitals and clinics have made protocols and reorganized healthcare facilities (e.g., performing nucleic acid tests (NAT), adding adequate personal protective equipment (PPE)) from May 1, 2020. After the measures were implemented, the number of operations performed remained stable and comparable to the pre-pandemic period. COVID-19 RNA detection was performed in 5104 cases and there were no new confirmed cases in our hospital. Conclusion This outbreak of COVID-19 has affected not only individuals with COVID-19 but also patients seeking surgical operations. Understanding the present situation helps clinicians provide a high level of treatment to all children.

Hypoglycemia is a common metabolic condition in neonatal period, but severe and persistent hypoglycemia can cause neurological damage and brain injury. The aim of the present study was to analyze the risk factors of neonatal hypoglycemia in clinic. A total of 135 neonatal hypoglycemia infants and 135 healthy infants were included in the present study. The differences in birth weight between neonatal hypoglycemia group and healthy control group were analyzed via t test. The associations between neonatal blood sugar level and relevant characteristic factors were explored using χ2 test. Binary logistic regression analysis was used to analyze risk factors related to the incidence of neonatal hypoglycemia. The results showed that the average birth weight was matched in neonatal hypoglycemia group and healthy control group. Neonatal blood sugar level of the infants was significantly associated with born term, birth weight, feed, gestational diabetes mellitus (GDM) and hypothermia (all P&lt;0.05). Besides, logistic regression analysis showed that babies’ born term (odds ratio (OR) = 2.715, 95% confidence interval (95% CI): 1.311–5.625), birth weight (OR = 1.910, 95% CI: 1.234–2.955), improper feeding (OR = 3.165, 95% CI: 1.295–7.736) and mother’s GDM (OR = 2.184, 95% CI: 1.153–4.134) were high risk factors for neonatal hypoglycemia. The incidence of hypoglycemia in infants was significantly associated with various clinical factors. And monitoring these risk factors is one of important measures to reduce long-term neurological damage caused by neonatal hypoglycemia.