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Pre-treatment body composition and acute kidney disease risk in head and neck cancer patients treated with cisplatinBody composition may link to kidney issues in cancer patients

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Key Takeaway
Note the observed trend between low lymphocyte count, reduced muscle mass, and acute kidney disease risk.

This prospective, monocentric, observational study evaluated 110 patients with locally advanced head and neck cancer receiving concurrent radiotherapy and cisplatin doses of 200 mg/m2 or greater. The study compared patients who developed acute kidney disease (AKD) to non-AKD patients over a 21 day follow-up period.

Acute kidney disease occurred in 20% of the 110 patients during treatment. A median increase in serum creatinine was 0.48 mg/dL in the AKD group compared to 0.04 mg/dL in the non-AKD group (p < 0.05). The researchers observed a trend toward an association between AKD development and low lymphocyte count or reduced muscle mass.

No specific data were reported regarding the safety, tolerability, or serious adverse events beyond the occurrence of AKD itself. The study does not establish a causal link between body composition metrics and kidney injury, only a reported trend.

Clinicians should note that bioimpedance-derived metrics may offer a non-invasive method to identify high-risk patients, but these results require further validation in larger, multi-center studies.

Researchers looked at 110 patients with locally advanced head and neck cancer. These patients were receiving radiation therapy along with a medication called cisplatin. The study focused on how body composition might relate to the development of acute kidney disease during treatment.

During the treatment period, 20% of the patients developed acute kidney disease. The study found that patients who developed this kidney condition had a higher increase in serum creatinine levels compared to those who did not.

The researchers also noted a trend toward an association between kidney issues and lower lymphocyte counts or reduced muscle mass. However, it is important to note that this was only a trend and the study did not prove that these factors cause kidney disease.

While these findings are interesting, this was a single-center observational study. The results suggest that measuring body composition could eventually help identify high-risk patients, but more research is needed to confirm these links.

What this means for you:
Low muscle mass and low lymphocyte counts show a trend toward higher kidney disease risk during cancer treatment.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Patients with head and neck cancer undergoing high-dose cisplatin chemotherapy combined with radiotherapy are particularly at risk of developing nephrotoxicity. While Acute Kidney Injury risk is well established, the role of subclinical renal impairment and its potential interplay with nutritional status remains poorly defined. We aim to evaluate how body composition pre-treatment can predict the onset of Acute Kidney Disease. We conducted a prospective, monocentric, observational study involving 110 patients with locally advanced HNC treated with concurrent cisplatin (≥200 mg/m²) and radiotherapy. Patients were treated either in a definitive or postoperative adjuvant setting, according to institutional clinical practice. Baseline body composition was assessed by bioelectrical impedance analysis (BIA). Renal function and biochemical data were collected at three time points across 21 days. Variables associated with AKD were identified via univariate analysis (Mann–Whitney U test), followed by multivariate logistic regression for independent predictors. AKD developed in 20% of patients during treatment. Those who developed AKD exhibited a significantly higher median increase in serum creatinine compared to non-AKD patients (Δcreatinine: 0.48 vs. 0.04 mg/dL, p  A trend toward an association between low lymphocyte count and reduced muscle mass with AKD development suggests that pre-treatment nutritional and immunological status may influence nephrotoxicity risk. Bioimpedance-derived metrics may provide a non-invasive, reproducible method to identify high-risk patients.
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