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1.
Clin Genitourin Cancer ; 22(2): 586-592, 2024 04.
Artículo en Inglés | MEDLINE | ID: mdl-38369389

RESUMEN

BACKGROUND: Cardiovascular (CV) disease is common among men with prostate cancer and the leading cause of death in this population. There is a need for CV risk assessment tools that can be easily implemented in the prostate cancer treatment setting. METHODS: Consecutive patients who underwent positron emission tomography/computed tomography (PET/CT) for recurrent prostate cancer at a single institution from 2012 to 2017 were identified retrospectively. Clinical data and coronary calcification on nongated CT imaging were obtained. The primary outcome was major adverse CV event (MACE; myocardial infarction, coronary or peripheral revascularization, stroke, heart failure hospitalization, or all-cause mortality) occurring within 5 years of PET/CT. RESULTS: Among 354 patients included in the study, there were 98 MACE events that occurred in 74 patients (21%). All-cause mortality was the most common MACE event (35%), followed by coronary revascularization/myocardial infarction (26%) and stroke (19%). Coronary calcification was predictive of MACE (HR = 1.9, 95% CI: 1.1-3.4, P = .03) using adjusted Kaplan-Meier analysis. As a comparator, the Framingham risk score was calculated for 198 patients (56%) with complete clinical and laboratory data available. In this subgroup, high baseline Framingham risk (corresponding to 10-year risk of CV disease > 20%) was not predictive of MACE. CONCLUSIONS: MACE was common (21%) in men with recurrent prostate cancer undergoing PET/CT over 5 years of follow-up. Incidental coronary calcification on PET/CT was associated with increased risk of MACE and may have utility as a CV risk predictor that is feasible to implement among all prostate cancer providers.


Asunto(s)
Enfermedades Cardiovasculares , Infarto del Miocardio , Neoplasias de la Próstata , Accidente Cerebrovascular , Masculino , Humanos , Tomografía Computarizada por Tomografía de Emisión de Positrones , Enfermedades Cardiovasculares/diagnóstico por imagen , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/etiología , Factores de Riesgo , Estudios Retrospectivos , Recurrencia Local de Neoplasia/complicaciones , Medición de Riesgo , Infarto del Miocardio/etiología , Infarto del Miocardio/terapia , Accidente Cerebrovascular/complicaciones , Accidente Cerebrovascular/epidemiología , Factores de Riesgo de Enfermedad Cardiaca , Neoplasias de la Próstata/diagnóstico por imagen , Neoplasias de la Próstata/complicaciones , Pronóstico , Valor Predictivo de las Pruebas
2.
Ann Noninvasive Electrocardiol ; 28(1): e13018, 2023 01.
Artículo en Inglés | MEDLINE | ID: mdl-36409204

RESUMEN

BACKGROUND: Accurate automated wide QRS complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) can be accomplished using calculations derived from computerized electrocardiogram (ECG) data of paired WCT and baseline ECGs. OBJECTIVE: Develop and trial novel WCT differentiation approaches for patients with and without a corresponding baseline ECG. METHODS: We developed and trialed WCT differentiation models comprised of novel and previously described parameters derived from WCT and baseline ECG data. In Part 1, a derivation cohort was used to evaluate five different classification models: logistic regression (LR), artificial neural network (ANN), Random Forests [RF], support vector machine (SVM), and ensemble learning (EL). In Part 2, a separate validation cohort was used to prospectively evaluate the performance of two LR models using parameters generated from the WCT ECG alone (Solo Model) and paired WCT and baseline ECGs (Paired Model). RESULTS: Of the 421 patients of the derivation cohort (Part 1), a favorable area under the receiver operating characteristic curve (AUC) by all modeling subtypes: LR (0.96), ANN (0.96), RF (0.96), SVM (0.96), and EL (0.97). Of the 235 patients of the validation cohort (Part 2), the Solo Model and Paired Model achieved a favorable AUC for 103 patients with (Solo Model 0.87; Paired Model 0.95) and 132 patients without (Solo Model 0.84; Paired Model 0.95) a corroborating electrophysiology procedure or intracardiac device recording. CONCLUSION: Accurate WCT differentiation may be accomplished using computerized data of (i) the WCT ECG alone and (ii) paired WCT and baseline ECGs.


Asunto(s)
Taquicardia Paroxística , Taquicardia Supraventricular , Taquicardia Ventricular , Humanos , Electrocardiografía/métodos , Diagnóstico Diferencial , Taquicardia Ventricular/diagnóstico
3.
Crit Care Explor ; 3(2): e0343, 2021 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-33554125

RESUMEN

To describe the infectious complications and interleukin-6 trajectories in mechanically ventilated patients with coronavirus disease 2019. DESIGN: Retrospective cohort study. SETTING: ICUs at Washington University-Barnes Jewish Hospital in St. Louis, MO. PARTICIPANTS: All consecutive patients admitted to the medical ICU and requiring mechanical ventilation from March 12, 2020, to April 21, 2020, were included. INTERVENTIONS: Tocilizumab, an interleukin-6 receptor blocker, was prescribed at the discretion of the treating physicians to patients with a clinical picture compatible with cytokine release syndrome. MEASUREMENTS: All the patients were followed to death or hospital discharge. Demographic and laboratory data were collected retrospectively from the electronic medical record. Interleukin-6 levels were measured at days 0, 3, 7, 14, and 21. Infections were divided into culture positive and culture negative (clinically suspected and treated). The main outcomes were infectious complications and interleukin-6 levels at different points in time. RESULTS: Forty-three patients with respiratory failure secondary to coronavirus disease 2019 were on mechanical ventilation during the study period. Twenty-seven (68%) were male, and 31 (72.1%) were African-American. Median Charlson score was 2 (interquartile range, 0-4). Median Pao2/Fio2 was 171.5 (122-221) on the day of mechanical ventilation initiation, and 13 patients (30.2%) required vasopressors. C-reactive protein was 142.7 (97.7-213.7), d-dimer 1,621 (559-13,434), and Acute Physiology and Chronic Health Evaluation-II 11 (9-15). Interleukin-6 levels at admission were 61 pg/mL (interquartile range, 28.6-439 pg/mL). Patients treated with tocilizumab had higher levels of interleukin-6 at each measurement (days 0, 3, 7, 14, and 21) compared with patients receiving standard of care. Both groups reached peak interleukin-6 levels at day 7. Administration of tocilizumab was associated with a trend toward increased risk of infection. CONCLUSIONS: Interleukin-6 levels peak at day 7 in patients with severe coronavirus disease 2019 pneumonia requiring mechanical ventilation and follows a similar trajectory in patients with coronavirus disease 2019 pneumonia requiring mechanical ventilation irrespective of treatment with interleukin-6R blockers. Interleukin-6 levels continued to rise in nonsurvivors, in comparison with survivors, where the rise in interleukin-6 levels was followed by a decline.

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