Frontiers in Nutrition (Jul 2022)

A Novel Systemic Inflammation Prognostic Score to Stratify Survival in Elderly Patients With Cancer

  • Guo-Tian Ruan,
  • Guo-Tian Ruan,
  • Guo-Tian Ruan,
  • Hai-Lun Xie,
  • Hai-Lun Xie,
  • Hai-Lun Xie,
  • Li Deng,
  • Li Deng,
  • Li Deng,
  • Yi-Zhong Ge,
  • Yi-Zhong Ge,
  • Yi-Zhong Ge,
  • Qi Zhang,
  • Qi Zhang,
  • Qi Zhang,
  • Zi-Wen Wang,
  • Zi-Wen Wang,
  • Zi-Wen Wang,
  • Xi Zhang,
  • Xi Zhang,
  • Xi Zhang,
  • He-Yang Zhang,
  • He-Yang Zhang,
  • He-Yang Zhang,
  • Meng Tang,
  • Meng Tang,
  • Meng Tang,
  • Meng-Meng Song,
  • Meng-Meng Song,
  • Meng-Meng Song,
  • Xiao-Wei Zhang,
  • Xiao-Wei Zhang,
  • Xiao-Wei Zhang,
  • Ming Yang,
  • Ming Yang,
  • Ming Yang,
  • Lei Pan,
  • Kun-Hua Wang,
  • Kun-Hua Wang,
  • Ming-Hua Cong,
  • Yi-Zhen Gong,
  • Yi-Zhen Gong,
  • Meng-Yan Wang,
  • Han-Ping Shi,
  • Han-Ping Shi,
  • Han-Ping Shi

DOI
https://doi.org/10.3389/fnut.2022.893753
Journal volume & issue
Vol. 9

Abstract

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BackgroundElderly patients with cancer face the challenge of systemic inflammation, which can lead to a poor prognosis. Existing inflammatory indices cannot fully reflect the immune-inflammatory status of patients. This study aimed to develop a new scoring system to predict the survival of elderly patients with cancer using inflammatory indices, namely, the systemic inflammation prognostic score (SIPS).Materials and MethodsThis prospective multicenter study included a total of 1,767 patients with cancer, with a mean age of 70.97 ± 5.49 years, of whom 1,170 (66.2%) were men. We performed the least absolute shrinkage and selection operator (LASSO) regression to screen inflammatory indicators to include in constructing SIPS. Prognostic analysis of SIPS was performed using univariate and multivariate survival analyzes. The prognostic value of SIPS and its components were compared using the prognostic receiver operating characteristic curve and concordance index. The population was divided into the training cohort and the validation cohort in a 7:3 ratio and a SIPS prognostic analysis was performed.ResultsThe LASSO regression selected C-reactive protein (CRP) (≤ 9.81, “0”; > 9.81, “1”), geriatric nutritional risk index (GNRI) (≤ 93.85, “1”; 93.85, “0”), advanced lung cancer inflammation index (ALI) (≤ 23.49, “1”; > 23.49, “0”), and lymphocyte to C-reactive protein ratio (LCR) (≤ 2523.81, “1”; > 2523.81, “0”) to develop SIPS. Patients were divided into the three groups based on the total SIPS: low-risk (0), moderate-risk (1–2), and high-risk (3–4). On the multivariate survival analysis, patients in the moderate-risk [P < 0.001, hazard ratio (HR) = 1.79, 95% CI: 1.47–2.17] and high-risk groups (P < 0.001, HR = 2.40, 95% CI: 1.98–2.92) showed a worse prognosis than those in the low-risk group. The total cohort, training cohort, and validation cohort all showed that SIPS had better survival prediction than CRP, GNRI, ALI, and LCR. The HRs were 2.81 times higher in patients in the high-risk group with malnutrition than in patients in the low-risk group without malnutrition.ConclusionSIPS was an independent prognostic indicator in elderly patients with cancer. Malnutrition in the high-risk group increased the mortality risk.

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