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The proteins sEGFR, HGF, ANG-2, sFASL, IL-6, PLGF, VEGF-A, PRL, TGF-α FGF-b, sHER2/Neu sIL-6Rα, ENG, uPA, and insulin-like growth factor binding protein 1 (IGFBP-1), were predictive of the development of preeclampsia and their use as markers for this disease should be considered.

Despite the implementation of programmes to improve maternal health, maternal and foetal mortality rates still remain high. The presence of maternal distress and its association with the development of pregnancy hypertensive disorders is not well established. The aim of this study was to evaluate the association between maternal distress and the development of hypertensive disorders in pregnancy in a prospective cohort of 321 Mexican women. Symptoms of maternal distressing were evaluated at week 20th of gestation using the General Health Questionnaire. The presence of acute somatic symptoms, social dysfunction, anxiety and insomnia increased the odds of developing a pregnancy hypertensive disorder by 5.1-26.4 times in study population (p values < .05). Our results support the participation of maternal distress in the development of hypertensive disorders of pregnancy. The implementation of effective programmes prioritising risk factors during pregnancy including the presence of maternal distressing factors is recommended. Impact statement What is already known on this subject: Changes in the nervous, endocrine, and immune systems have been observed in pregnant women with distress conditions leading to gestational disorders. What do the results of this study add: The presence of acute somatic symptoms, social dysfunction, anxiety and insomnia increased the developing of hypertensive disorders in Mexican population. What are the implications of these findings for clinical practice and/or further research: These findings may contribute to a better understanding of the role of the maternal stress in the development of hypertensive disorders of pregnancy, and in the implementation of effective programmes for clinical practice prioritising risk factors during pregnancy, including the presence of maternal distressing factors.

Background: The pandemic of COVID-19 has represented a major threat to global public health in the last century and therefore to identify predictors of mortality among COVID-19 hospitalized patients is widely justified. The aim of this study was to evaluate the possible usefulness of Charlson Comorbidity Index (CCI) as mortality predictor in patients hospitalized because COVID-19. Methods: This study was carried out in Zacatecas, Mexico, and it included 705 hospitalized patients with suspected of SARS-CoV-2 infection. Clinical data were collected, and the CCI score was calculated online using the calculator from the Sociedad Andaluza de Medicina Intensiva y Unidades Coronarias; the result was evaluated as mortality predictor among the patients with COVID-19. Results: 377 patients were positive for SARS-COV-2. Obesity increased the risk of intubation among the study population (odds ratio (OR) = 2.59; 95 CI: 1.36–4.92; p = 0.003). The CCI values were higher in patients who died because of COVID-19 complications than those observed in patients who survived (p < 0.001). Considering a CCI cutoff >31.69, the area under the ROC curve was 0.75, with a sensitivity and a specificity of 63.6% and 87.7%, respectively. Having a CCI value >31.69 increased the odds of death by 12.5 times among the study population (95% CI: 7.3–21.4; p < 0.001). Conclusions: The CCI is a suitable tool for the prediction of mortality in patients hospitalized for COVID-19. The presence of comorbidities in hospitalized patients with COVID-19 reflected as CCI > 31.69 increased the risk of death among the study population, so it is important to take precautionary measures in patients due to their condition and their increased vulnerability to SARS-CoV-2 infection.