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Enregistrement W4313340546 · doi:10.1097/tp.0000000000004442

Chronic Postsurgical Pain After Solid Organ Transplantation: A Dreaded Complication in Recipients and Living Donors

2022· article· en· W4313340546 sur OpenAlexaboutno aff
Faouzi Saliba

Notice bibliographique

RevueTransplantation · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAnesthesia and Pain Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineContext (archaeology)ComplicationTransplantationChronic painPsychosocialSurgeryNephrectomyOrgan transplantationKidneyInternal medicinePhysical therapyPsychiatry

Résumé

récupéré en direct d'OpenAlex

Chronic postsurgical pain (CPSP) must be distinguished from acute postoperative pain and is defined by the International Association for the Study of Pain as pain that develops after a surgical procedure and persists for at least 3 mo after surgery, excluding all other causes of pain or preexisting pain problems.1 CPSP varies in intensity from discomfort to functional limitation and could be persistent or intermittent. Anxiety, surgical trauma, stress, side effects of drugs (mostly in relation to opioid use), and an underestimation of the magnitude of the problem by physicians, family, and relatives complicate the management.2 Merely 2% to 10% of individuals undergoing surgery will develop severe persisting pain leading to chronic physical disability and psychosocial distress.2 After solid organ transplantation (SOT), the prevalence of CPSP is estimated to be 20% but varies according to the type of organ transplant.3 CPSP has been reported after heart and lung transplantation with a prevalence of 54% and 18%, respectively, after kidney (25.8%) and liver (35% in nonusers of opioids before transplant, 10% were severe CPSP), mainly occurring in recipients on opioids or benzodiazepines before transplant.4-6 CSP has a striking psychological burden when occurring in the context of a living donation from a healthy donor. Holtzman et al7 reported CPSP after the hepatectomy in 31% and 27% of the donors, respectively, at 6 and 12 mo of follow-up. The prevalence of CPSP following living donor laparoscopic nephrectomy was 5.7% in the series by Bruintjes et al8 and 41% in a prospective cohort of living donor nephrectomy reported by Fleishman et al.9 This substantial variation might be related to the definition of CPSP, the design of the study, and various pain tool assessment. Management of CPSP consists of the use of single or combination drugs, mainly paracetamol, non–steroidal anti-inflammatory drugs, and tramadol, but often requires the need for opioids. Several reports evaluated chronic opioid consumption before and after transplantation and its impact on mortality.4-6 Chuan et al10 performed a retrospective analysis of 140 SOT patients followed by a transitional pain service (TPS) at the Toronto General Hospital that provides a multidisciplinary care pathway preoperatively and postoperatively. Opioid consumption calculated in milligram morphine equivalent (MME) per day was the main outcome measure. The TPS used 6 well-known various screening tools, scores, or questionnaires to quantify and assess the various physical, psychological, and social consequences of CPSP (Neuropathic Pain Screening Tool, Brief Pain Inventory, Hospital Anxiety and Depression Scale, Pain Catastrophizing Scale, Sensitivity to Pain Traumatization Scale, and Short-form McGill Pain Questionnaire) at the first and last TPS visits. The authors showed that self-reported total pain, the use of opioid medication, opioid dosing consumption, and rating of intensity and quality of pain decreased from the first TPS visit to the last TPS visit. The main significant changes over the treatment at the TPS were the reduction of opioid dose consumption and improvement in total pain traumatization score. The study by Chuan et al10 has the merit to address the beneficial issue on transplant patients of a long follow-up by a specialized pain care service. Despite that, currently, some centers have a pain care referent or department, often run by an anesthesiologist or addictologist, and few are dedicated to long-term follow-up of SOT recipients. Nevertheless, some points deserve to be elucidated. This was a very select cohort of 140 patients in a large organ transplant center performing merely 700 transplants per year. In this cohort, 35% of the patients had a history of addiction, 53% had a history of mental health difficulties, and 67% were on opioid medication at the pretransplant visit. It is well known that these factors, in addition to a few others, including patient characteristics, comorbidities, and alterations in central pain processing, are the main risk factors of posttransplant opioid consumption.4,5,7,11 This must be distinguished from CPSP and opioid use acquired after transplant surgery, considering both patient and medical team perception, in which technical issues related to surgery (previous surgery, severe acute postoperative pain, tissue adhesions, nerve injury) might influence the development of CPSP. Several reports highlighted an association between chronic opioid consumption, the daily dose of opioid consumption, before organ transplant or during the first year posttransplant, and increased morbidity and mortality.5,11,12 Data from the US kidney transplant registry showed an association between long-term opioid prescription doses of ≥90 MME/d and mortality (adjusted hazard ratio 1.61; 95% CI, 1.24-2.10) and graft loss (adjusted hazard ratio 1.33; 95% CI, 1.05-1.67).12 Similar data were reported after a heart transplant.11 In the study of Chuan et al,10 34% of the patients were on an opioid dose prescription of >50 MME/d posttransplant, and the management by the TPS led to a significant reduction in the daily dose. Nevertheless, the tools used by the TPS in terms of management, interventions and medications, and the patient willingness to integrate such programs are not elucidated. Finally, whether the benefit of opioid reduction or discontinuation improved long-term patient and graft survival is worth evaluating. High-dose opioid consumption appears as a marker, possibly reflecting underlying conditions, comorbidities, and behaviors. The Centers for Disease Control guidelines recommend specific caution and careful reassessment of individual benefits and risks when considering increasing dosages to ≥50 MME/d.13 In summary, a multidisciplinary approach involving anesthesiologist, psychiatrists, psychologists, addictologists, physiotherapists, and referent nursing personnel is often required for the long-term follow-up of patients with CPSP. Targeted evaluation of high-risk patients at time of transplant, by the transplant team and a TPS, is mandatory. Chronic opioid consumption before transplant is a major risk factor for posttransplant consumption and might affect long-term morbidity and mortality. A specialized multidisciplinary pain care team might help improve pre- and postoperative pain management in transplant centers and long-term outcomes.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,011
Tête enseignante GPT0,249
Écart entre enseignants0,238 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations4
Publié2022
Routes d'admission1
Résumé présentoui

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