Pan-immune-inflammation value and survival in patients with breast cancer from a Peruvian reference hospital DOI Creative Commons

Iris Palomino-Secca,

Mariella Peña-Tuya,

Lynn A. Quintana-García

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 25, 2024

The pan-immune-inflammation value (PIV), calculated as (neutrophil × platelet monocyte)/lymphocyte count, may be useful for estimating survival in breast cancer patients. To determine the prognostic of PIV overall patients Lima, Peru. A retrospective cohort study was conducted. 97 diagnosed between January 2010 and December 2016 had their medical records analyzed. primary dependent variable survival, key independent PIV, divided into high (≥ 310) low (< groups. Patient data included demographics, treatment protocols other clinical variables. Statistical analysis involved Kaplan–Meier curves Cox proportional hazards modeling. Patients with a ≥ 310 significantly lower 5-year functions (p = 0.004). Similar significant differences were observed stage III-IV 0.015), hemoglobin levels < 12 mg/Dl 0.007), histological grade 0.019), nuclear 0.001); however, molecular classification did not show difference 0.371). adjusted Hazard Ratios showed that associated poor outcome (5.08, IC95%: 1.52–16.92). While unadjusted model. These factors maintain significance after adjustment. is an predictor reduced Peruvian

Language: Английский

Pan-immune-inflammation value and survival in patients with breast cancer from a Peruvian reference hospital DOI Creative Commons

Iris Palomino-Secca,

Mariella Peña-Tuya,

Lynn A. Quintana-García

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 25, 2024

The pan-immune-inflammation value (PIV), calculated as (neutrophil × platelet monocyte)/lymphocyte count, may be useful for estimating survival in breast cancer patients. To determine the prognostic of PIV overall patients Lima, Peru. A retrospective cohort study was conducted. 97 diagnosed between January 2010 and December 2016 had their medical records analyzed. primary dependent variable survival, key independent PIV, divided into high (≥ 310) low (< groups. Patient data included demographics, treatment protocols other clinical variables. Statistical analysis involved Kaplan–Meier curves Cox proportional hazards modeling. Patients with a ≥ 310 significantly lower 5-year functions (p = 0.004). Similar significant differences were observed stage III-IV 0.015), hemoglobin levels < 12 mg/Dl 0.007), histological grade 0.019), nuclear 0.001); however, molecular classification did not show difference 0.371). adjusted Hazard Ratios showed that associated poor outcome (5.08, IC95%: 1.52–16.92). While unadjusted model. These factors maintain significance after adjustment. is an predictor reduced Peruvian

Language: Английский

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