Herbert Loong: Do Comorbidities and Simple Blood Counts Predict Survival in Sarcoma?
Herbert Loong/X

Herbert Loong: Do Comorbidities and Simple Blood Counts Predict Survival in Sarcoma?

Herbert Loong, Advisor at Greater Bay Area International Clinical Trial Institute, shared on X:

“Throwback Revisiting our 2020 ESMO, ESMO Open paper with Carlos Wong and team: do comorbidities and simple blood counts predict survival in sarcoma?

Short answer: yes.

A routine NLR at diagnosis nearly halved 5-year survival (66% → 36%).

We used Hong Kong’s territory-wide Hospital Authority database to assemble 3,358 bone and soft-tissue sarcoma patients diagnosed 2004-2018.

At the time, the largest population-based sarcoma cohort reported.

Comorbidities:

  • Common at diagnosis: >20% of bone and >30% of soft-tissue sarcoma patients had at least one
  • Diabetes was the most frequent (9.8%), rising to 12.5% by 5 years
  • Mortality rose stepwise with Charlson Comorbidity Index, even after adjusting for age

Blood indices

  • 5-yr OS was 66% with NLR <2.5 vs 36% with NLR ≥2.5
  • Patients with both high NLR and PLR fared worst
  • he added risk plateaued at higher values, a non-linear effect worth noting for anyone building nomograms.

Why it still matters: Many sarcoma patients already see a doctor for something else.

The endocrinologist treating someone’s diabetes may be the first to hear about a rapidly growing lump.

Raise the index of suspicion early, and manage comorbidities actively once sarcoma is diagnosed.

Caveat: diagnoses came from coding, without histology-level data, so this is a macro view across subtypes.

Title: Prevalence and prognostic impact of comorbidities and peripheral blood indices in sarcomas

Authors: Herbert Ho-fung Loong, Carlos King Ho Wong, Yihui Wei, Sampson Sui Chun Kwan, Yingjun Zhang, Teresa Tse, Yat-Ming Lau, Linda K.S. Leung, Gordon C.H. Tang

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