Dataset Information

Ludwig's Angina: The Original Angina.

ABSTRACT: Ludwig's angina was first detailed by the German surgeon Wilhelm Friedrich von Ludwig in 1836. We present a case which needed awake fibreoptic intubation due to severe trismus and a prolonged period intubated in the Intensive Care Unit after incision and drainage of neck spaces and removal of his lower wisdom teeth. He was finally discharged a week after admission and followed up in the outpatient clinic. The case is presented with clinical photographs and a video of the fibreoptic intubation to illustrate the airway.

SUBMITTER: Kassam K

PROVIDER: S-EPMC3674689 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

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Ludwig's Angina: The Original Angina.

Kassam Karim K Messiha Ashraf A Heliotis Manolis M

Case reports in surgery 20130522

Ludwig's angina was first detailed by the German surgeon Wilhelm Friedrich von Ludwig in 1836. We present a case which needed awake fibreoptic intubation due to severe trismus and a prolonged period intubated in the Intensive Care Unit after incision and drainage of neck spaces and removal of his lower wisdom teeth. He was finally discharged a week after admission and followed up in the outpatient clinic. The case is presented with clinical photographs and a video of the fibreoptic intubation to ...[more]

PMID: 23762739

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Project description:Background Canadian Cardiovascular Society (CCS) angina severity classification is associated with mortality, myocardial infarction, and coronary revascularization in clinical trial and registry data. The objective of this study was to determine associations between CCS class and all-cause mortality and healthcare utilization, using natural language processing to extract CCS classifications from clinical notes. Methods and Results In this retrospective cohort study of veterans in the United States with stable angina from January 1, 2006, to December 31, 2013, natural language processing extracted CCS classifications. Veterans with a prior diagnosis of coronary artery disease were excluded. Outcomes included all-cause mortality (primary), all-cause and cardiovascular-specific hospitalizations, coronary revascularization, and 1-year healthcare costs. Of 299 577 veterans identified, 14 216 (4.7%) had ≥1 CCS classification extracted by natural language processing. The mean age was 66.6±9.8 years, 99% of participants were male, and 81% were white. During a median follow-up of 3.4 years, all-cause mortality rates were 4.58, 4.60, 6.22, and 6.83 per 100 person-years for CCS classes I, II, III, and IV, respectively. Multivariable adjusted hazard ratios for all-cause mortality comparing CCS II, III, and IV with those in class I were 1.05 (95% CI, 0.95-1.15), 1.33 (95% CI, 1.20-1.47), and 1.48 (95% CI, 1.25-1.76), respectively. The multivariable hazard ratio comparing CCS IV with CCS I was 1.20 (95% CI, 1.09-1.33) for all-cause hospitalization, 1.25 (95% CI, 0.96-1.64) for acute coronary syndrome hospitalizations, 1.00 (95% CI, 0.80-1.26) for heart failure hospitalizations, 1.05 (95% CI, 0.88-1.25) for atrial fibrillation hospitalizations, 1.92 (95% CI, 1.40-2.64) for percutaneous coronary intervention, and 2.51 (95% CI, 1.99-3.16) for coronary artery bypass grafting surgery. Conclusions Natural language processing-extracted CCS classification was positively associated with all-cause mortality and healthcare utilization, demonstrating the prognostic importance of anginal symptom assessment and documentation.

Dataset Information

Ludwig's Angina: The Original Angina.

Publications

Ludwig's Angina: The Original Angina.

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