Associations between plasma n-3 polyunsaturated fatty acids and gestational diabetes mellitus in the second trimester / 中华预防医学杂志

Objective: To examine the associations between plasma n-3 polyunsaturated fatty acids (PUFAs) in the second trimester and gestational diabetes mellitus (GDM) among Chinese pregnant women. Methods: Based on data from the Tongji-Shuangliu Birth Cohort enrolled from 2017 to 2019 in the Shuangliu Maternal and Child Health Hospital, it conducted a case-control study among 269 GDM cases who were diagnosed by 75 g oral glucose tolerance test, and 538 non-GDM controls matched at a 1∶2 ratio on maternal age and gestational weeks. The age range of the 807 women was 18-40 years. Fasting plasma n-3 PUFAs were determined by gas chromatography-mass spectrometry in the second trimester (24-28 weeks). Participants were categorized into quartiles (Q1-Q4) of plasma n-3 PUFAs based on distributions in the control group. Conditional logistic regression models were applied to estimate the associations between plasma n-3 PUFAs and GDM. Results: The median (interquartile) relative concentrations of plasma n-3 PUFA C22∶5n-3 was significantly lower in women with GDM 0.87 (0.72, 1.07) compared with women without GDM 0.94 (0.75, 1.19)(P=0.001). Plasma n-3 PUFA C22∶5n-3 was inversely associated with GDM, with an OR (95%CI) of 0.75 (0.62-0.90) for each SD increase of relative concentration. Compared with the Q1 group, the OR values and 95%CIs of Q2, Q3, and Q4 groups were 0.97 (0.62-1.51), 0.72 (0.45-1.15), and 0.54 (0.32-0.90), respectively (Ptrend<0.05). However, there were no significant associations of C18∶3n-3, C20∶5n-3, C22∶6n-3, and total n-3 PUFAs with GDM. Conclusion: Plasma n-3 PUFA C22∶5n-3 was inversely associated with GDM during the second trimester.

The respiratory sound features of COVID-19 patients fill gaps between clinical data and screening methods

BackgroundThe 2019 novel coronavirus (COVID-19) has continuous outbreaks around the world. Lung is the main organ that be involved. There is a lack of clinical data on the respiratory sounds of COVID-19 infected pneumonia, which includes invaluable information concerning physiology and pathology. The medical resources are insufficient, which are now mainly supplied for the severe patients. The development of a convenient and effective screening method for mild or asymptomatic suspicious patients is highly demanded. MethodsThis is a retrospective case series study. 10 patients with positive results of nucleic acid were enrolled in this study. Lung auscultation was performed by the same physician on admission using a hand-held portable electronic stethoscope delivered in real time via Bluetooth. The recorded audio was exported, and was analyzed by six physicians. Each physician individually described the abnormal breathing sounds that he heard. The results were analyzed in combination with clinical data. Signal analysis was used to quantitatively describe the most common abnormal respiratory sounds. ResultsAll patients were found abnormal breath sounds at least by 3 physicians, and one patient by all physicians. Cackles, asymmetrical vocal resonance and indistinguishable murmurs are the most common abnormal breath sounds. One asymptomatic patient was found vocal resonance, and the result was correspondence with radiographic computed tomography. Signal analysis verified the credibility of the above abnormal breath sounds. ConclusionsThis study describes respiratory sounds of patients with COVID-19, which fills up for the lack of clinical data and provides a simple screening method for suspected patients.