Introduction: We aimed to compare the prognostic value of a quantitative CT severity score with several laboratory parameters, particularly C-reactive protein, Procalcitonin, Neutrophil to lymphocyte ratio, D-dimer, ferritin, lactate dehydrogenase, lactate, troponin and B-type Natriuretic Peptide in predicting in-hospital mortality.
Methods: This was a retrospective chart review study of COVID-19 patients who presented to the Emergency Department of a tertiary care center between February and December 2020. All patients ≥18 years old who tested positive for the COVID-19 real-time reverse transcriptase polymerase chain reaction and underwent CT imaging at presentation were included. The primary outcome was the prognostic ability of CT severity score versus biomarkers in predicting in-hospital mortality.
Results: The AUCs were: D-dimer (AUC: 0.67 95% CI = 0.57-0.77), CT severity score (0.66, 95% CI = 0.55-0.77), LDH (0.66, 95% CI = 0.55-0.77), Pro-BNP (0.65, 95% CI = 0.55-0.76), NLR (0.64, 95% CI = 0.53-0.75) and troponin (0.64, 95% CI = 0.52-0.75). In the stepwise logistic regression, age (OR = 1.07 95% CI = 1.05-1.09), obesity (OR = 2.02 95% CI = 1.25-3.26), neutrophil/lymphocyte ratio (OR = 1.02 95% CI = 1.01-1.04), CRP (OR = 1.01 95% CI = 1.004-1.01), lactate dehydrogenase (OR = 1.003 95% CI = 1.001-1.004) and CT severity score (OR = 1.17 95% CI = 1.12-1.23) were significantly associated with in-hospital mortality.
Conclusion: In summary, CT severity score outperformed several biomarkers as a prognostic tool for covid related mortality. In COVID-19 patients requiring lung imaging, such as patients requiring ICU admission, patients with abnormal vital signs and those requiring mechanical ventilation, the results suggest obtaining and calculating the CT severity score to use it as a prognostic tool. If a CT was not performed, the results suggest using LDH, CRP or NLR if already done as prognostic tools in COVID-19 as these biomarkers were also found to be prognostic in COVID-19 patients.
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http://dx.doi.org/10.1016/j.ajem.2022.06.043 | DOI Listing |
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
J Am Acad Orthop Surg
January 2025
From the Department of Orthopaedic Surgery, Kaiser Permanente San Diego Medical Center, San Diego, CA (Horan), the Department of Orthopaedic Surgery, Summit Orthopedics, Eagan, MN (Baer), Shiley Center for Orthopaedic Research and Education (SCORE) at Scripps Clinic, La Jolla, CA (Shah), Georgetown University School of Medicine, Washington, DC (Shah), and the Department of Orthopaedic Surgery, Scripps Clinic, La Jolla, CA (Wilde, Copp, and Bugbee).
Background: Total knee arthroplasty (TKA) is a well-established treatment option for advanced knee osteoarthritis, yet some patients remain unsatisfied after surgery. Evaluation of various psychosocial parameters may improve patient optimization and outcomes. The primary aim was to assess whether preoperative resilience remained stable and influenced decision regret postoperatively while the secondary aim was to evaluate its correlation with joint-specific and global health patient-reported outcome measures.
View Article and Find Full Text PDFClin Exp Dermatol
January 2025
Department of Dermatology, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Background: Sensitive skin (SS) is a common condition reported by many people worldwide. Patient interviews reveal that individuals with SS experience diminished quality of life, anxiety, and depression. Nonetheless, the impact of SS on mental health remains unclear.
View Article and Find Full Text PDFJ Clin Endocrinol Metab
January 2025
Gastroenterology, Hepatology and Nutrition, Cincinnati Childrens Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
Context: Our study explores the impact of human PTH 1-34 injections (PTH therapy) on growth, areal bone mineral density (BMD), and bone quality (measured by trabecular bone score, TBS) in hypoparathyroidism due to autoimmune polyendocrine syndrome type 1 (APS-1) or an activating variant of the calcium sensing receptor (CaR).
Objective: To assess associations of 1) age and PTH therapy duration with age-standardized Z-scores for height (HAZ), BMD (BMD-Z), and TBS (TBS-Z) in CaR or APS-1, and 2) APS-1 disease severity with BMD-Z and TBS-Z.
Methods: This secondary analysis pooled linear growth and lumbar spine (LS) DXA data from studies of hypoparathyroidism with mean baseline age of 13.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
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