PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 7, 2022Surgical Endoscopy4 citationsOpen Access

External validation of risk prediction scores in patients undergoing anatomic video-assisted thoracoscopic resection

FPFlorian PonholzerKCKarol ChorazyCNCaecilia Ng

Structured PICO

Do EuroLung risk scores accurately predict 30-day postoperative morbidity and mortality in patients undergoing anatomic video-assisted thoracoscopic resection?

P
Population
718 patients aged 18-80 years scheduled for an anatomic video-assisted thoracoscopic surgery (VATS) resection for primary lung cancer
I
Intervention
EuroLung risk scores (EuroLung1 for morbidity, EuroLung2 for mortality, including 2016, 2019, parsimonious, and app versions)
C
Comparator
Observed 30-day postoperative morbidity and mortality
O
Outcome
30-day postoperative morbidity and mortalityhard clinical

EuroLung risk scores demonstrate poor discrimination for predicting individual postoperative morbidity and mortality in patients undergoing VATS for lung cancer, suggesting they should not be used to preclude patients from surgical treatment.

Limitations

  • Retrospective analysis
  • Single-center cohort
  • Missing clinical details not covered in the ESTS database (e.g., frailty, sarcopenia, morbid obesity, anemia, solid organ transplantation)

Abstract

BACKGROUND: EuroLung Risk scores were established to predict postoperative morbidity and mortality in patients undergoing anatomic lung resections. We aimed to perform an external validation of the EuroLung scores, which were calculated from data of the European Society of Thoracic Surgeons database, in our video-assisted thoracoscopic surgery cohort. METHODS: All available EuroLung scores were calculated for 718 patients scheduled for anatomic video-assisted thoracoscopic surgery resections between 2009 and 2019. Morbidity and mortality according to the definitions of the EuroLung scores were analyzed in a prospectively maintained database. RESULTS: Overall observed complication rate was 10.45%. Scores showed weak individual correlation (η = 0.155-0.174). The EuroLung1 app score showed the biggest area under the receiver operative characteristic (ROC) curve with 0.660. Binary logistic regression analysis showed that predicted postoperative forced expiratory volume in 1 s was associated with increased complications in both EuroLung1 and parsimonious EuroLung1 scores. Thirty-day mortality was 0.7% (predicted 1.10-1.40%) and was associated with predicted postoperative forced expiratory volume in 1 s for both EuroLung2 and parsimonious EuroLung2 scores. The EuroLung2 (2016) showed the biggest area under the ROC curve with 0.673. Only a very weak eta correlation between predicted and observed mortality was found for both aggregate EuroLung2, EuroLung2 (2016), EuroLung2 (2019), and parsimonious EuroLung2 (2016) (η = 0.025/0.015/0.011/0.009). CONCLUSION: EuroLung scores help to estimate postoperative morbidity. However, even with the highest aggregate EuroLung scores possible only 50% suffer from postoperative morbidity. Although calibration of the scores was acceptable, discrimination between predicted and observed events was poor. Therefore, individual correlation between predicted and observed events is weak. Therefore, EuroLung scores may be best used to compare institutional quality of care to the European Society of Thoracic Surgeons database but should not be used to preclude patients from surgical treatment.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ponholzer et al. (2022) studied this question.

synapsesocial.com/papers/6a82039aac3bbfe76d6103f1https://doi.org/10.1007/s00464-022-09786-7
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Is the Parsimonious Eurolung risk model a good predictor for all populations? An external validation study2025
  2. 2European risk models for morbidity (EuroLung1) and mortality (EuroLung2) to predict outcome following anatomic lung resections: an analysis from the European Society of Thoracic Surgeons database†<sup>,</sup>‡2016 · 104 citations
  3. 3External validation of six existing multivariable clinical prediction models for short-term mortality in patients undergoing lung resection2020 · 27 citations
  4. 4Predicting Postoperative Complications and Long-Term Survival After Lung Cancer Surgery Using Eurolung Risk Score2022 · 7 citations
  5. 5Risk-stratification in thoracic aortic surgery: should the EuroSCORE be modified?☆2004 · 38 citations