Objectives/Goals: Head and neck cancer (HNC) patients frequently experience cachexia (≥5% weight loss) that goes underrecognized in clinical practice. We assessed whether weights in electronic health records (EHR) were frequent and sustained enough to characterize weight-loss magnitude and timing, and to quantify cachexia underdiagnosis and diagnostic delay. Methods/Study Population: Patients were identified in the Emory Healthcare EHR (2016–2019) using ICD-10 codes for head and neck malignancies. Those with ≥2 codes within 90 days were eligible cases; the index date was the first code of the qualifying pair. Weights were extracted for all encounters six months before through one year after the index date; implausible values were removed. Feasibility analyses included all eligible patients while cachexia analyses were limited to those with ≥3 post-index weights. Baseline weight was the median pre-index value or the closest post-index value ≤14 days. Underdiagnosis was defined as ≥5% weight loss from baseline without a cachexia-related ICD code recorded 90 days prior to, or any time after, the index date: cachexia (R64), abnormal weight loss (R63.4), muscle wasting (M62.5x), or anorexia (R63.0). Results/Anticipated Results: EHR data demonstrated high feasibility for longitudinal analyses: among 561 HNC patients, the median number of weight measurements in the first year was 18 (IQR 8–27) with a median interval of 7 days (IQR 2–14). Among 499 patients analyzed for cachexia, the median max weight loss was 11.2% (IQR 4.9–18.2), occurring a median of 5 months after the index date (IQR 2.4–8.4). Overall, 373 patients (75%) lost ≥5% of baseline weight, yet cachexia-related ICD codes were present in only 113 (23%). Among uncoded patients, 274 met the ≥5% weight-based criterion, thus 55% of HNC patients were at risk for underdiagnosis. The median time to cachexia coding was 5.4 months after the index date (IQR 2.5–14.4). In 38% of HNC cachexia patients, coding occurred more than 6 months after ≥5% weight loss, indicating a meaningful diagnostic delay. Discussion/Significance of Impact: EHR data provide sufficient density and cadence to track cancer-related weight loss with precision and reveal that cachexia often goes unrecognized despite clear, measurable weight loss. These findings reveal a gap between data visibility and clinical action and support EHR-based monitoring to enable earlier recognition and timely care.
Eldridge et al. (2026) studied this question.
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