Liver enzyme patterns in maternal deaths due to eclampsia: A South African cohort

Pre-eclampsia and maternal health through the prism of low-income countries

Hypertensive syndrome in pregnancy complicates up to 15% of pregnancies, and preeclampsia (PE) occurs in about 3-10% of pregnant women. Inadequate prenatal care is associated with higher mortality from PE, possibly due to reduced monitoring, detection, and missed opportunities for early intervention. The imperative of the clinician's work is to monitor the symptoms and clinical signs of PE, and stratification of patients in relation to the risk of PE is essential. PE represents a multisystem inflammatory response, and the consequences can be expected in all organs. The question of the effect of PE on long-term maternal health is raised. The aim of the paper is to present the effect of PE on the patient's health through the prism of low-income countries.

Laboratory indicators in COVID-19 and other pneumonias: Analysis for differential diagnosis and comparison of dynamic changes during 400-day follow-up

Background

COVID-19 is spreading rapidly all over the world, the patients' symptoms can be easily confused with other pneumonia types. Therefore, it is valuable to seek a laboratory differential diagnostic protocol of COVID-19 and other pneumonia types on admission, and to compare the dynamic changes in laboratory indicators during follow-up.

Methods

A total of 143 COVID-19, 143 bacterial pneumonia and 145 conventional viral pneumonia patients were included. The model group consisted of 140 COVID-19, 80 bacterial pneumonia and 60 conventional viral pneumonia patients, who were age and sex matched. We established a differential diagnostic model based on the laboratory results of the model group on admission via a nomogram, which was validated in an external validation group. We also compared the 400-day dynamic changes of the laboratory indicators among groups.

Results

LASSO regression and multivariate logistic regression showed that eosinophils (Eos), total protein (TP), prealbumin (PA), potassium (K), high-density lipoprotein cholesterol (HDLC), and low-density lipoprotein cholesterol (LDLC) could differentiate COVID-19 from other pneumonia types. The C-index of the nomogram model was 0.922. Applying the nomogram to the external validation group showed an area under the curve (AUC) of 0.902. The 400-day change trends of the laboratory indexes varied among subgroups divided by sex, age, oxygenation index (OI), and pathogen.

Conclusion

The laboratory model was highly accurate at providing a new method to identify COVID-19 in pneumonia patients. The 400-day dynamic changes in laboratory indicators revealed that the recovery time of COVID-19 patients was not longer than that of other pneumonia types.