Prevalence of Delirium in Advance Cancer Patients Admitted in Hospice Centre and Outcome after Palliative Intervention
Notice bibliographique
Résumé
Objectives: The assessment of prevalence of delirium in advanced cancer patients admitted in hospice centre and outcome after palliative intervention. The possible related risk factors for development of delirium. Material and Methods: This was prospective analytic study done at hospice centre attached with tertiary cancer hospital in Ahmedabad during August 2019 - July 2021. This study was approved by the Institutional Review Committee. We selected patients according to following inclusion criteria (all patient admitted to hospice centre above 18 years, with advance cancer disease and on best supportive care) and exclusion criteria (Lack of informed consent, Inability to participate in study due to mentally retard or coma). The following information were collected: age, gender, address, type of cancer, comorbidities, history of substance abuse, history of (h/o) palliative chemotherapy or radiotherapy within last 3month, general condition, ESAS (Edmonton symptom assessment scale), ECOG (Eastern cooperative oncology group), PaP score (palliative prognostic score), medication including opioids, NSAIDs (Non-steroidal anti-inflammatory drugs), steroids, antibiotic, adjuvant analgesic, PPI (Proton pump inhibitor), anti-emetic etc. Delirium diagnosis was based on diagnostic criterion of DSM-IV text revised and MDAS. Results: In our study we found prevalence of delirium was 31.29% in advanced cancer patients admitted to hospice centre. We found most common type of delirium is hypoactive (34.7%) and mixed subtype (34.7%) followed by hyperactive (30.4%) delirium. Resolution of delirium was higher among hyperactive delirium (78.57%) followed by mixed subtype (50%) and hypoactive (12.5%). Mortality was higher among patient with hypoactive subtype (81.25%) followed by mixed (43.75%) and hyperactive delirium (14.28%). Conclusion: An identification and assessment of delirium is vital for acceptable end of life care within the palliative care in light of the fact that the presence of delirium is related with morbidity, mortality, prolonged ICU hospitalization, expanded time on a ventilator, and by and large more prominent medical services costs. Clinicians should utilize one of a few approved delirium assessment tools to help evaluate and archive cognitive function. Prevention and recognizing the clinical reason for delirium are generally the best method for diminishing the morbidity from delirium. The study results demonstrate that multi component delirium management or projects are generally proficient to lessen the prevalence and negative outcomes of delirium. It was found that palliative care intervention has quite a positive outcome as it not only focus on the mental health of the patients but also of family members who go through the same amount of distress and also help them to communicate properly and manage to settle the mental state and end the life without pain and distress.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».