A nomogram for predicting complications in patients with solid tumours and seemingly stable febrile neutropenia
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Springer Nature
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Jiménez-Fonseca, P. (Paula); Carmona-Bayonas, A. (Alberto); Matos, I. (Ignacio); et al. "A nomogram for predicting complications in patients with solid tumours and seemingly stable febrile neutropenia". British Journal of Cancer. (114), 2016, 1191 - 1198
Background: We sought to develop and externally validate a nomogram and web-based calculator to individually predict the development of serious complications in seemingly stable adult patients with solid tumours and episodes of febrile neutropenia (FN). Patients and methods: The data from the FINITE study (n ¼ 1133) and University of Salamanca Hospital (USH) FN registry (n ¼ 296) were used to develop and validate this tool. The main eligibility criterion was the presence of apparent clinical stability, defined as events without acute organ dysfunction, abnormal vital signs, or major infections. Discriminatory ability was measured as the concordance index and stratification into risk groups. Results: The rate of infection-related complications in the FINITE and USH series was 13.4% and 18.6%, respectively. The nomogram used the following covariates: Eastern Cooperative Group (ECOG) Performance Status X2, chronic obstructive pulmonary disease, chronic cardiovascular disease, mucositis of grade X2 (National Cancer Institute Common Toxicity Criteria), monocytes o200/mm3 , and stress-induced hyperglycaemia. The nomogram predictions appeared to be well calibrated in both data sets (Hosmer–Lemeshow test, P40.1). The concordance index was 0.855 and 0.831 in each series. Risk group stratification revealed a significant distinction in the proportion of complications. With a X116-point cutoff, the nomogram yielded the following prognostic indices in the USH registry validation series: 66% sensitivity, 83% specificity, 3.88 positive likelihood ratio, 48% positive predictive value, and 91% negative predictive value. Conclusions: We have developed and externally validated a nomogram and web calculator to predict serious complications that can potentially impact decision-making in patients with seemingly stable FN.

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