Sleep

Preoperative sleep quality predicts postoperative morbidity in elderly gastric cancer patients undergoing radical gastrectomy: integration with nutritional and sarcopenia assessment.

TL;DR

Preoperative sleep quality independently predicts postoperative complications after radical gastrectomy, and integrating sleep, nutritional, and sarcopenia assessments improves risk stratification and highlights targets for perioperative optimization.

Key Findings

Higher preoperative Pittsburgh Sleep Quality Index (PSQI) scores independently predicted greater postoperative complication severity in elderly gastric cancer patients undergoing radical gastrectomy.

  • Per-point OR of 1.36 (95% CI 1.22–1.52, P < 0.001) from multivariable proportional-odds regression
  • Sleep quality was measured with the PSQI one day before surgery
  • Study included 485 patients aged ≥60 years (median age 67 years; 61.2% male)
  • 30-day postoperative complications were classified by Clavien-Dindo grade

One-third of elderly gastric cancer patients developed postoperative complications within 30 days, including a subset with severe events.

  • 160 of 485 patients (33.0%) developed complications
  • 21 patients (4.3%) experienced grade III–V (severe) events
  • Patients underwent radical gastrectomy between June 2020 and June 2023
  • Complications were classified using the Clavien-Dindo grading system

Sarcopenia and nutritional risk were prevalent in the study cohort and served as independent predictors of postoperative complication severity.

  • Sarcopenia was present in 30.9% of patients, defined by Asian Working Group for Sarcopenia 2019 criteria
  • Nutritional risk was present in 27.2% of patients, assessed by the Geriatric Nutritional Risk Index (GNRI)
  • Both low GNRI and sarcopenia were identified as independent predictors in multivariable regression
  • These factors were included alongside sleep quality in the integrated predictive models

Additional independent predictors of postoperative complication severity included surgical and clinical factors beyond sleep and nutritional status.

  • Total gastrectomy (vs. subtotal) was an independent predictor
  • Open surgical approach (vs. minimally invasive) was an independent predictor
  • ASA physical status ≥ III was an independent predictor
  • Charlson Comorbidity Index ≥ 3 and stage III disease were also independent predictors

Postoperative PSQI scores at day 30 also correlated with complication severity, though this finding was considered exploratory.

  • Per-point OR of 1.41 (95% CI 1.26–1.58) for postoperative PSQI
  • This association was designated exploratory due to temporal overlap between postoperative sleep measurement and complication occurrence
  • PSQI was measured at postoperative day 30
  • The postoperative PSQI OR was slightly higher than the preoperative PSQI OR (1.41 vs. 1.36)

Predictive models integrating sleep, nutritional, and sarcopenia assessments demonstrated good discrimination and calibration after bootstrap validation.

  • AUC/c-index range of 0.74–0.79 across models
  • Model performance was evaluated using c-index/AUC, Brier score, and calibration
  • Validation was performed using 1000-bootstrap resampling
  • Multivariable proportional-odds and binary logistic regression were both applied

What This Means

This research suggests that how well elderly patients sleep before stomach cancer surgery may be an important indicator of how they will recover afterward. In a study of 485 patients aged 60 and older who had their stomach partially or fully removed for cancer, researchers found that worse preoperative sleep quality — measured using a standard questionnaire called the Pittsburgh Sleep Quality Index — was linked to more serious postoperative complications within 30 days. About one in three patients experienced some complication, and roughly 4% had severe complications. Poor sleep predicted worse outcomes independently of other known risk factors. The study also found that malnutrition and sarcopenia (low muscle mass and strength, which is common in older adults and cancer patients) were present in roughly a quarter to a third of patients and were similarly associated with worse surgical outcomes. Other factors like the extent of surgery, open versus minimally invasive approach, and overall health status also mattered. When sleep quality, nutritional status, and sarcopenia assessments were combined into a single predictive model, the model performed well at identifying which patients were at higher risk for complications. This research suggests that routinely measuring sleep quality before major cancer surgery could help doctors better identify elderly patients who might benefit from extra support before and after their operation. Sleep, nutrition, and muscle health represent potentially modifiable factors — meaning there may be opportunities to intervene prior to surgery to improve patient outcomes, though further research would be needed to confirm whether such interventions actually reduce complications.

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Citation

Pan S, Wang G. (2026). Preoperative sleep quality predicts postoperative morbidity in elderly gastric cancer patients undergoing radical gastrectomy: integration with nutritional and sarcopenia assessment.. Surgical endoscopy. https://doi.org/10.1007/s00464-025-12539-x