Too Early to Publish Results of High-Risk Subject Research

1999 ◽  
Vol 174 (6) ◽  
pp. 554-554 ◽  
Author(s):  
Anne Farmer
Keyword(s):  
2020 ◽  
Author(s):  
Anita Andreano ◽  
Rossella Murtas ◽  
Sara Tunesi ◽  
Maria Teresa Greco ◽  
David Consolazio ◽  
...  

Abstract Background: large studies on the predictive role of chronic conditions on mortality from COVID‑19 are scarce. We developed a predictive model of death from COVID‑19 in an Italian cohort aged 40 years or older.Methods: we conducted a cohort study on prospectively collected data. The cohort included all (n=18,286) swab positive cases ≥40 year-old in patients registered with the Agency for Health Protection (AHP) of Milan up to 27/04/2020. Data on comorbidities were obtained from the chronic condition administrative database of the AHP. A multivariable logistic regression model, including age and gender and the selected conditions, was fitted to predict 30-day mortality risk and internally validated. External validation and recalibration were performed in a cohort of untested subjects with COVID-19 like symptoms. R software was used for the analysis.Results: chronic conditions having the largest model-adjusted odds ratio (OR) of dying within 30 days from COVID-19 infection were chronic heart failure (OR=1.9, 95%CI 1.5-2.5), tumors (OR=1.8, 95%CI 1.4-2.3), complicated diabetes (OR=1.6, 95%CI 1.1-2.2) and dialysis-dependent chronic kidney disease (OR=1.5, 95%CI 1.0-2.2). Bootstrap-validated c-index was 0.78. The model fitted on the validation cohort had a c-index of 0.93, but required recalibration. With this latter model, at a 10% risk of death threshold, 11% of the AHP population aged 40 years or older is considered at high risk.Conclusion: we identified a selected number of comorbidities predicting early risk of death in a large COVID-19 cohort aged 40 years or older. In a new epidemic wave, our results will help physicians and health systems to identify high-risk subject to target for prevention and therapy in this specific age group.


Lung Cancer ◽  
2003 ◽  
Vol 41 ◽  
pp. S95 ◽  
Author(s):  
Margaret R. Spitz ◽  
Xifeng Wu ◽  
Qingyi Wei

2011 ◽  
Vol 3 (1) ◽  
pp. 71-74 ◽  
Author(s):  
Suresh Sankhla ◽  
KP Morwani ◽  
Narayan Jayashankar

ABSTRACT Attempted total resections is the preferred treatment option in the management of glomus jugulare tumors in most subjects. In the elderly patients, it may be advisable to leave a tiny residue over the involved cranial nerve to preserve function. In a medically unfit and anesthetically high-risk subject observation with serial MRI scans is the preferred line of management. If in such a patient there occurs brainstem compression, it is prudent to only operate the intracranial part to relieve the compression explaining the very high-risk in this group. Radiotherapy is not to be offered as a primary treatment for glomus jugulare tumors.


2012 ◽  
Vol 142 (5) ◽  
pp. S-153
Author(s):  
Paul J. Limburg ◽  
Michelle R. Mahoney ◽  
Katie Allen Ziegler ◽  
Drew K. Seisler ◽  
Stephen J. Sontag ◽  
...  

1982 ◽  
Vol 47 (4) ◽  
pp. 373-375 ◽  
Author(s):  
James L. Fitch ◽  
Thomas F. Williams ◽  
Josephine E. Etienne

The critical need to identify children with hearing loss and provide treatment at the earliest possible age has become increasingly apparent in recent years (Northern & Downs, 1978). Reduction of the auditory signal during the critical language-learning period can severely limit the child's potential for developing a complete, effective communication system. Identification and treatment of children having handicapping conditions at an early age has gained impetus through the Handicapped Children's Early Education Program (HCEEP) projects funded by the Bureau of Education for the Handicapped (BEH).


1983 ◽  
Vol 48 (1) ◽  
pp. 110-110

For the November 1982 JSHD article, "A Community Based High Risk Register for Hearing Loss," the author would like to acknowledge three additional individuals who made valuable contributions to the study. They are Marie Carrier, Gene Lyon, and Bobbie Robertson.


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