Brit J Hosp Med
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Aims/Background The drug treatment of recurrent respiratory tract infection caused by mycoplasma pneumonia (MP) has a complex background, involving the characteristics of pathogens, drug resistance, and multiple treatment methods. This study aimed to analyze the therapeutic effect of pulmicort respules and azithromycin on children with recurrent respiratory tract infection caused by MP. Methods The clinical data of 106 children with recurrent respiratory tract infection caused by MP diagnosed in Huoqiu First People's Hospital from July 2021 to July 2023 were retrospectively analyzed. ⋯ After 1 week of treatment, the observation group had significantly lower levels of IgG, IgA, and IgM than the reference group (p < 0.01). This study revealed that the incidence of complications in the observation group was 16.00%, which was significantly lower than the 37.50% in the reference group (p < 0.05). Conclusion In the short-term clinical treatment, the combination application of pulmicort respules and azithromycin can effectively improve the immune function of children with recurrent respiratory tract infection caused by MP and relieve their clinical symptoms.
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Antimicrobial therapy is essential to modern healthcare practice. However, years of injudicious use has contributed to the development of population and individual level harm from antimicrobial resistance. ⋯ Antimicrobial stewardship is the systematic approach to safe and effective use of antimicrobials to optimise outcomes, minimise harm and preserve future therapies. Herein, we consider the significance and importance of antimicrobial stewardship in the frail elderly and suggest ten steps to assist clinicians in the recognition, investigation and management of infection in this group.
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Aims/Background Severe postpartum haemorrhage (PPH) is a dangerous condition, characterized by rapid progression and poor prognosis. It remains the leading preventable cause of maternal death worldwide. This study aimed to investigate the risk factors for severe PPH and establish a prediction model to identify severe PPH early, allowing for early intervention reduce maternal death. ⋯ Clinical decision curve analysis (DCA) confirmed a significant threshold exceeding 0.9, signifying a substantial net benefit and model precision. Conclusion Parity ≥2 times, abortion ≥2 times, in vitro fertilisation, gestational week at delivery, abnormal foetal position, caesarean delivery, pregnancy with anaemia, and hypertensive disorders of pregnancy are independent risk factors for severe PPH. The predictive model established in this study accurately predicts the occurrence of severe PPH and has significant value for clinical application.
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Aims/Background Pregnancy can affect various bodily functions, including metabolism, cardiovascular function, and eyesight. Pathological ocular changes observed during pregnancy are linked to the development of pregnancy-specific conditions, such as preeclampsia/eclampsia and gestational diabetes. This study aims to analyze clinical data disease history and maternal characteristics collected during pregnancy, to determine ocular parameters and develop a risk prediction model for adverse ocular outcomes. ⋯ Additionally, hemolysis, elevated liver enzymes, and low platelets (HELLP) syndrome were predictors of retinal hemorrhage and exudate during pregnancy (p < 0.05). The area under the ROC curve for adverse ocular outcomes were 0.75 and 0.74, respectively. Conclusion Our predictive model effectively forecasts adverse ocular outcomes during pregnancy, incorporating risk factors such as maternal age, eclampsia and pre-eclampsia, GDM, obesity, a history of chronic hypertension, hypoproteinemia, IUGR, pregnancy with immunoglobulin A nephropathy, and HELLP syndrome.
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Aims/Background Pulmonary arterial hypertension (PAH) is a significant contributor to increased overall and cardiovascular mortality in peritoneal dialysis (PD) patients. Cardiopulmonary exercise testing (CPET) is an accurate method for measuring cardiorespiratory fitness (CRF) during both submaximal and peak exercise. Previous studies have demonstrated a strong correlation among CRF and increased cardiovascular and overall mortality rates. ⋯ ROC curve analysis showed that the AUC values for predicting PAH in PD patients using VO2peak, VO2AT, METspeak, and WRpeak were 0.675, 0.651, 0.719, and 0.689, respectively, with METspeak demonstrating the highest AUC for prediction. Conclusion The occurrence of PAH in PD patients is associated with WBC, VO2peak, VO2AT, METspeak, and WRpeak. Additionally, CPET parameters exhibit predictive value for PAH, with METspeak showing the highest AUC for prediction.