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Enregistrement W4386386490 · doi:10.1007/s00268-023-07159-2

Letter to the Editor: Impact of COVID‐19 Pandemic on Readmission Rates Following Colorectal Surgery—A Retrospective Cohort Study

2023· letter· en· W4386386490 sur OpenAlexaboutno aff
Henry Drysdale, David Watters

Notice bibliographique

RevueWorld Journal of Surgery · 2023
Typeletter
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronavirus disease 2019 (COVID-19)PandemicCardiac surgeryVascular surgeryCardiothoracic surgeryAbdominal surgeryRetrospective cohort study2019-20 coronavirus outbreakColorectal surgerySevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)General surgeryEmergency medicineSurgeryInternal medicineVirologyOutbreakDisease

Résumé

récupéré en direct d'OpenAlex

We write with regards the recent paper by Lemke et al. [1] providing a retrospective analysis of colorectal surgery readmission rates from the American College of Surgeons’ National Surgical Quality Improvement Program (ASC-NSQIP). They reported no significant difference between the readmission rates in 2019 (9.6%) and 2020 (9.4%), the latter being the first year of the pandemic. Although readmission rates may be potentially influenced by length of hospital admission, their results suggest that surgical teams maintained a consistent approach both before and during the first year of the pandemic. That fewer patients were discharged to another facility in 2020 may also indicate clinician and patient preference to avoid the cross-infection risks of residential facilities during the COVID-19 pandemic. Lemke et al.’ results indicate that, for those major planned colorectal procedures which were undertaken in 2020, safety and quality were not compromised during the first year of the pandemic despite the challenges posed to the healthcare system as a whole. For example, their matched cohort mortality of 0.8% was consistent in both 2019 and 2020 whilst there was also no significant difference in the anastomotic leak rates (2.7% and 2.8% respectively). Their findings are consistent with an Australian publication that also reported no difference for mortality, return to theatre or post-operative surgical complications for Colorectal Cancer patients treated during the COVID-19 pandemic [2]. However, their results do contrast with COVIDSurg's global prospective study that examined the outcomes of elective Colorectal Cancer Surgery on over 2000 patients [3]. COVIDSurg demonstrated fewer anastomotic leaks but an increase in peri-operative mortality during the COVID-19 pandemic [3]. Lemke et al.'s paper also provides an important insight into the impact of COVID-19 on Colorectal Surgery activity in those institutions providing data to NSQIP. These are largely hospitals from high income countries, such as the USA, Canada and Australia. The 17.7% decrease in Colorectal Surgery activity represents a significant reduction, consistent with other published series of planned surgery during the early years of the pandemic. The reasons are likely to be multi-factorial in nature including less screening, less access to referral for symptoms, less willingness to see a doctor, and less health system capacity to perform colonoscopies. During 2020, there was certainly a decrease in colonoscopy activity, deliberate deferral of perceived non-urgent elective surgery, and a need to re-deploy healthcare workers to meet the demands of the pandemic. The full effect of this reduced activity on Colorectal Surgical outcomes, particularly as a result of untreated comorbidities, and/or more advanced disease at presentation is yet to be reported. Another recent publication also compared 2019 and 2020 ASC-NSQIP data to investigate colorectal surgical outcomes and readmission rates [4]. Despite slightly different time periods of inclusion, they also reported reduced colorectal surgical activity (20.8%), but again no difference in readmission rates or length of stay. There was a higher ASA grading of patients undergoing surgery in 2020, suggestive of greater comorbidity. There was more emergent and less laparoscopic surgery performed. In contrast to Lemke et al., Chen et al. demonstrated an overall increase in morbidity and mortality in the latter half of 2020. Whilst supportive of Lemke's et al.'s main results, consideration should be given to the potential of COVID-19 workforce issues leading to less data being captured and entered, which may bias COVID-19 related data. ASC-NSQIP represents a multi-centred registry of largely, but not exclusively, North American Hospitals. The impact of COVID-19 varied significantly between geographical areas largely due to both a variation of incidence of COVID-19 as well as the availability of healthcare resources. Lemke et al.'s data must be viewed in the North American context and may not be applicable outside of North America. Nevertheless, their findings are consistent with a recently published Swedish paper reporting no significant difference in surgical complications, reoperation or death within 30 days as a result of the COVID-19 pandemic [5]. Further research from other countries is indicated. Lemke et al.'s decision to compare 2019 and 2020 data provided a good comparator to examine the impact of COVID-19 on the provision of surgical services. Many other research groups have used the same or similar timeframes. It certainly represents a period witnessing the most significant change in surgical service during the COVID-19 pandemic. However, COVID-19 is a rapidly evolving, dynamic disease with new variants emerging such as Delta (2021) and Omicron (2022). Therefore, extending the data set to include the impact of vaccination and emerging variants through 2021 and 2022 represents a further area of future research that will help understand the impact of COVID-19 on the health system and how we should respond. Neither corresponding authors are recipients of a research scholarship nor surgeons in training. Both authors are in agreement with the contents of this editorial. There are no conflicts of interest to declare. The manuscript has not been previously published and is not under consideration elsewhere.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,195
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,011
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0030,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,099
Tête enseignante GPT0,406
Écart entre enseignants0,307 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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