Prognostic Nutritional Index as a Predictive Biomarker of Post-Operative Infectious Morbidity in Gynecological Cancer Patients: A Prospective Cohort Study.

Malnutrition significantly impacts the post-operative process of gynecological cancer patients. A prominent variable for determining perioperative morbidity is the Prognostic Nutritional Index (PNI). To investigate PNI's predictive value on the risk of post-operative infections, we conducted a prosp...

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Publicado en:Nutrition & Cancer Vol. 76; no. 4; pp. 364 - 372
Autores principales: Pergialiotis, Vasilios, Thomakos, Nikolaos, Papalios, Theodoros, Lygizos, Vasilios, Vlachos, Dimitrios Efthimios, Rodolakis, Alexandros, Haidopoulos, Dimitrios
Formato: research tables/charts Journal Article
Publicado: Taylor & Francis Ltd 2024
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Taylor & Francis Ltd
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        10.1080/01635581.2024.2318827
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        atl: Prognostic Nutritional Index as a Predictive Biomarker of Post-Operative Infectious Morbidity in Gynecological Cancer Patients: A Prospective Cohort Study.
      aug:
        au:
          Pergialiotis, Vasilios
          Thomakos, Nikolaos
          Papalios, Theodoros
          Lygizos, Vasilios
          Vlachos, Dimitrios Efthimios
          Rodolakis, Alexandros
          Haidopoulos, Dimitrios
        affil: First Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, "Alexandra" General Hospital, Athens, Greece
      sug:
        subj:
          Genital Neoplasms, Female Surgery
          Nutritional Assessment
          Biological Markers Blood
          Postoperative Period
          Genital Neoplasms, Female Prognosis
          Postoperative Complications Risk Factors
          Risk Assessment
          Morbidity Risk Factors
          Malnutrition Complications
          Surgical Wound Infection Risk Factors
          Abscess Risk Factors
          Urinary Tract Infections Risk Factors
          Lung Diseases Risk Factors
          Human
          Cancer Patients
          Perioperative Care
          Prospective Studies
          Female
          Descriptive Statistics
          Nutritional Status
          Univariate Statistics
          Leukocyte Count
          Multivariate Analysis
          Random Forest
          Female
      ab: Malnutrition significantly impacts the post-operative process of gynecological cancer patients. A prominent variable for determining perioperative morbidity is the Prognostic Nutritional Index (PNI). To investigate PNI's predictive value on the risk of post-operative infections, we conducted a prospective cohort study involving women who underwent surgery for gynecological malignancies. Out of the 208 patients enrolled, 28 (13.5%) were malnourished and post-operative infections occurred in 43 patients. Notably, there was a significant difference in PNI between patients who developed infections and those who did not (p = 0.027), as well as between malnourished patients and those with normal nutritional status (p = 0.043). Univariate analysis showed that preoperative PNI predicts the risk of post-operative infections better than post-operative white blood cell count (AUC of 0.562 vs 0.375). However, the most accurate diagnostic results in the multivariate analysis were obtained from random forest and classification tree models (AUC of 0.987 and 0.977, respectively). Essentially, PNI and post-operative white blood cell count provided the best information gain according to rank probabilities. In conclusion, PNI appears to be a critical parameter that merits further investigation during the preoperative evaluation of gynecological malignancies.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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