Results 241 to 250 of about 359,117 (344)

Adrenal Crisis: From Perioperative Clinic to Diagnosis. [PDF]

open access: yesCureus
Gültekin A   +4 more
europepmc   +1 more source

Effects of protease inhibitors in experimental septic shock [PDF]

open access: yes, 1992
Fink, Edwin   +3 more
core  

ALTERATION OF CARDIAC OUTPUT DURING INDUCED HYPOTENSION

open access: bronze, 1961
Worthington G. Schenk, Albert D. Menno
openalex   +1 more source

FIGO good practice recommendations for vaginal birth after cesarean section

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract The rising global rate of cesarean section (CS) has prompted renewed focus on vaginal birth after cesarean (VBAC) as a safe and effective alternative to repeat CS in properly selected women. The FIGO good practice recommendations provide evidence‐based recommendations to guide VBAC care.
Eytan R. Barnea   +12 more
wiley   +1 more source

Reducing post‐cesarean sepsis: Current best practice in prevention and treatment

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Cesarean section is the most common surgical procedure performed worldwide. It is associated with good perinatal and maternal outcomes when indicated. The rising global cesarean birth rate has coincided with an increase in post‐cesarean sepsis – specifically site infections, which have an incidence of 7% worldwide. Post‐cesarean sepsis remains
Amanda Lazzaro   +13 more
wiley   +1 more source

Beta-Blocker Toxicity. [PDF]

open access: yesJ Educ Teach Emerg Med
Vempati A, Greene PJ.
europepmc   +1 more source

Establishment of a Machine Learning‐Based Prediction Model for Short‐Term Adverse Prognosis in Neonatal Bacterial Meningitis

open access: yesiLABMED, EarlyView.
This study systematically evaluated multiple machine learning models to predict short‐term adverse prognosis in neonatal bacterial meningitis using a retrospective cohort of 433 infants. The logistic regression model, combining mRMR‐selected and clinically prioritized variables, demonstrated optimal predictive performance (AUC = 0.908).
Ying Chen   +8 more
wiley   +1 more source

Routine Laboratory Tests Predict 72‐h Fatality in Patients With D‐Dimer Levels ≥ 2 μg/mL: A Retrospective Cohort Study Comparing Statistical and Machine Learning Models

open access: yesJournal of Clinical Laboratory Analysis, EarlyView.
This study compares multivariate logistic regression (MLRA) and four machine learning models in predicting 72‐h fatality in patients with D‐dimer levels ≥ 2 μg/mL. MLRA identified five significant factors: advanced age, low total protein and cholesterol levels, and high aspartate aminotransferase and D‐dimer levels.
Shuma Hayashi   +8 more
wiley   +1 more source

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