دورية أكاديمية

Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index.

التفاصيل البيبلوغرافية
العنوان: Predicting serious complications in patients with cancer and pulmonary embolism using decision tree modelling: the EPIPHANY Index.
المؤلفون: Carmona-Bayonas A; Department of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain., Jiménez-Fonseca P; Department of Medical Oncology, H. Universitario Central de Asturias, Oviedo, Spain., Font C; Department of Medical Oncology, H. Universitario Clinic, Barcelona, Spain., Fenoy F; Department of Physiology, Facultad de Medicina, Universidad de Murcia, Murcia, Spain., Otero R; Department of Pneumology, H. Universitario Virgen del Rocío, CIBER de Enfermedades Respiratorias, Seville, Spain., Beato C; Department of Medical Oncology, Hospital Nisa-Aljarafe, Seville, Spain., Plasencia JM; Department of Radiology, Hospital Universitario Morales Meseguer, Murcia, Spain., Biosca M; Department of Medical Oncology, H. Universitario Vall d' Hebron, Barcelona, Spain., Sánchez M; Department of Radiology, H. Universitario Clinic, Barcelona, Spain., Benegas M; Department of Radiology, H. Universitario Clinic, Barcelona, Spain., Calvo-Temprano D; Department of Radiology, H. Universitario Central de Asturias, Oviedo, Spain., Varona D; Department of Radiology, H. Universitario Vall D' Hebron, Barcelona, Spain., Faez L; Department of Medical Oncology, H. Universitario Central de Asturias, Oviedo, Spain., de la Haba I; Department of Internal Medicine, ICO Duran i Reynals, Barcelona, Spain., Antonio M; Department of Medical Oncology, ICO Duran i Reynals, Barcelona, Spain., Madridano O; Department of Internal Medicine, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain., Solis MP; Department of Medical Oncology, H. Universitario Central de Asturias, Oviedo, Spain., Ramchandani A; Department of Medical Oncology, Hospital Universitario Insular de Gran Canaria, Las Palmas, Spain., Castañón E; Department of Medical Oncology, Clínica Universidad de Navarra, Pamplona, Spain., Marchena PJ; Department of Internal Medicine, Parc Sanitari Sant Joan of Déu, Esplugues de Llobregat, Barcelona, Spain., Martín M; Department of Internal Medicine, Hospital Universitario Infanta Sofía, San Sebastián de los Reyes, Madrid, Spain., Ayala de la Peña F; Department of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain., Vicente V; Department of Hematology and Medical Oncology, Hospital Universitario Morales Meseguer, Instituto Murciano de Investigación Biosanitaria (IMIB), Murcia, Spain.
المصدر: British journal of cancer [Br J Cancer] 2017 Apr 11; Vol. 116 (8), pp. 994-1001. Date of Electronic Publication: 2017 Mar 07.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group on behalf of Cancer Research UK Country of Publication: England NLM ID: 0370635 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-1827 (Electronic) Linking ISSN: 00070920 NLM ISO Abbreviation: Br J Cancer Subsets: MEDLINE
أسماء مطبوعة: Publication: 2002- : London : Nature Publishing Group on behalf of Cancer Research UK
Original Publication: London, Lewis.
مواضيع طبية MeSH: Decision Support Techniques* , Decision Trees* , Severity of Illness Index*, Neoplasms/*complications , Pulmonary Embolism/*diagnosis , Risk Assessment/*methods, Area Under Curve ; Female ; Follow-Up Studies ; Health Status Indicators ; Humans ; Male ; Middle Aged ; Neoplasm Staging ; Prognosis ; Pulmonary Embolism/etiology ; Pulmonary Embolism/mortality ; Registries ; Survival Rate
مستخلص: Background: Our objective was to develop a prognostic stratification tool that enables patients with cancer and pulmonary embolism (PE), whether incidental or symptomatic, to be classified according to the risk of serious complications within 15 days.
Methods: The sample comprised cases from a national registry of pulmonary thromboembolism in patients with cancer (1075 patients from 14 Spanish centres). Diagnosis was incidental in 53.5% of the events in this registry. The Exhaustive CHAID analysis was applied with 10-fold cross-validation to predict development of serious complications following PE diagnosis.
Results: About 208 patients (19.3%, 95% confidence interval (CI), 17.1-21.8%) developed a serious complication after PE diagnosis. The 15-day mortality rate was 10.1%, (95% CI, 8.4-12.1%). The decision tree detected six explanatory covariates: Hestia-like clinical decision rule (any risk criterion present vs none), Eastern Cooperative Group performance scale (ECOG-PS; <2 vs ⩾2), O 2 saturation (<90 vs ⩾90%), presence of PE-specific symptoms, tumour response (progression, unknown, or not evaluated vs others), and primary tumour resection. Three risk classes were created (low, intermediate, and high risk). The risk of serious complications within 15 days increases according to the group: 1.6, 9.4, 30.6%; P<0.0001. Fifteen-day mortality rates also rise progressively in low-, intermediate-, and high-risk patients: 0.3, 6.1, and 17.1%; P<0.0001. The cross-validated risk estimate is 0.191 (s.e.=0.012). The optimism-corrected area under the receiver operating characteristic curve is 0.779 (95% CI, 0.717-0.840).
Conclusions: We have developed and internally validated a prognostic index to predict serious complications with the potential to impact decision-making in patients with cancer and PE.
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تواريخ الأحداث: Date Created: 20170308 Date Completed: 20170606 Latest Revision: 20181113
رمز التحديث: 20240628
مُعرف محوري في PubMed: PMC5396106
DOI: 10.1038/bjc.2017.48
PMID: 28267709
قاعدة البيانات: MEDLINE
الوصف
تدمد:1532-1827
DOI:10.1038/bjc.2017.48