Development and Validation of the PaP Score Nomogram for Terminally Ill Cancer Patients

被引:9
作者
Scarpi, Emanuela [1 ]
Nanni, Oriana [1 ]
Maltoni, Marco [2 ]
机构
[1] IRCCS Ist Romagnolo Studio Tumori IRST Dino Amado, Unit Biostat & Clin Trials, I-47014 Meldola, Italy
[2] Univ Bologna, Dept Specialized Expt & Diagnost Med DIMES, Med Oncol Unit, I-40126 Bologna, Italy
关键词
cancer patients; end-of-life; hospice; palliative care; prognosis; prognostic score; survival; nomogram; PALLIATIVE PROGNOSTIC SCORE; CLINICIAN PREDICTION; SURVIVAL PREDICTION; CARE; PHYSICIANS; ACCURACY; END; MODELS; TOOLS; INDEX;
D O I
10.3390/cancers14102510
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary The Accurate prediction of survival in a palliative care setting is vitally important for clinical, organizational and ethical reasons. Several prognostic tools have been developed to provide reliable estimates of survival in terminally ill cancer patients. We previously developed and validated the Palliative Prognostic (PaP) score, a prognostic tool that assigns patients to three different risk groups according to a 30-day survival probability: group A, >70%; group B, 30-70%; and group C, <30%. As the PaP score does not provide the individual prediction of the survival probability but only probability windows, the present work focuses on the development and validation of the PaP score as a nomogram in order to provide individualized prediction of survival at 15, 30 and 60 days. The nomogram improved the performance of the original PaP score while also maintaining its key feature of simplicity. The validated Palliative Prognostic (PaP) score predicts survival in terminally ill cancer patients, assigning patients to three different risk groups according to a 30-day survival probability: group A, >70%; group B, 30-70%; and group C, <30%. We aimed to develop and validate a PaP nomogram to provide individualized prediction of survival at 15, 30 and 60 days. Three cohorts of consecutive terminally ill cancer patients were used: one (n = 519) for nomogram development and internal validation, and a second (n = 451) and third (n = 549) for external validation. Multivariate analyses included dyspnea, anorexia, Karnofsky performance status, clinical prediction of survival, total white blood count and lymphocyte percentage. The predictive accuracy of the nomogram was determined by Harrell's concordance index (95% CI), and calibration plots were generated. The nomogram had a concordance index of 0.74 (0.72-0.75) and showed good calibration. The internal validation showed no departures from ideal prediction. The accuracy of the nomogram at 15, 30 and 60 days was 74% (70-77), 89% (85-92) and 72% (68-76) in the external validation cohorts, respectively. The PaP nomogram predicts the individualized estimate of survival and could greatly facilitate clinical care decision-making at the end of life.
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页数:15
相关论文
共 46 条
[1]  
Altman DG, 2000, STAT MED, V19, P453, DOI 10.1002/(SICI)1097-0258(20000229)19:4<453::AID-SIM350>3.3.CO
[2]  
2-X
[3]   Nomograms in oncology: more than meets the eye [J].
Balachandran, Vinod P. ;
Gonen, Mithat ;
Smith, J. Joshua ;
DeMatteo, Ronald P. .
LANCET ONCOLOGY, 2015, 16 (04) :E173-E180
[4]   ESTIMATE OF SURVIVAL OF PATIENTS ADMITTED TO A PALLIATIVE CARE UNIT - A PROSPECTIVE-STUDY [J].
BRUERA, E ;
MILLER, MJ ;
KUEHN, N ;
MACEACHERN, T ;
HANSON, J .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 1992, 7 (02) :82-86
[5]  
Caraceni A, 2000, CANCER-AM CANCER SOC, V89, P1145, DOI 10.1002/1097-0142(20000901)89:5<1145::AID-CNCR24>3.0.CO
[6]  
2-X
[7]  
Chow E, 2001, CLIN ONCOL-UK, V13, P209, DOI 10.1007/s001740170078
[8]   Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study [J].
Christakis, NA ;
Lamont, EB .
BRITISH MEDICAL JOURNAL, 2000, 320 (7233) :469-472
[9]   Prediction of survival in terminal cancer patients in Taiwan: Constructing a prognostic scale [J].
Chuang, RB ;
Hu, WY ;
Chiu, TY ;
Chen, CY .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2004, 28 (02) :115-122
[10]   Clinical Relevance and Prognostic Value of Inflammatory Biomarkers: A prospective Study in Terminal Cancer Patients Receiving Palliative Care [J].
Cunha, Gabriella da Costa ;
da Costa Rosa, Karla Santos ;
Maria Wiegert, Emanuelly Varea ;
de Oliveira, Livia Costa .
JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2021, 62 (05) :978-986