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2. Global trends in opioid use for pain management in acute pancreatitis: A multicentre prospective observational study

Author

Knoph, Cecilie Siggaard, Lucocq, James, Kamarajah, Sivesh Kathir, Olesen, Søren Schou, Jones, Michael, Samanta, Jayanta, Talukdar, Rupjyoti, Capurso, Gabriele, de‐Madaria, Enrique, Yadav, Dhiraj, Siriwardena, Ajith K., Windsor, John, Drewes, Asbjørn Mohr, Nayar, Manu, Cark, Neil, Pius, Riinu, Houghton, Eduardo, Gimenéz, Mariano, Uribe, Karla, Rodriguez, Florencia, Gundara, Justin, Mackay, Thomas, Phan, Huynh, Lewin, Joel, McElhatton, Claire, Siriwardhane, Mehan, Hodgson, Russell, Malik, Hassan, Ward, Ryan, Young, Kerilee, Bappayya, Shaneel, Loveday, Benjamin, Samra, Jaswinder, Gall, Tamara, Mittal, Anubhav, Chan, Ting Ting, Lo, Vincent Wing‐ho, Liang, Hui, Wang, Cong, Huang, Wei, Jin, Tao, Wu, Yongzi, Xia, Qing, Georgio, Nikolaou, Koronakis, Nikolaos, Davidsen, Line, Hamed, Emad, Mohamed, Salem, Demetrashvili, Zaza, Tvaladze, Ana, Kachakhidze, Irakli, Zurabashvili, Tea, Ioannidis, Orestis, Kapiris, Stylianos, Mavrodimitraki, Eleni, Sotiropoulou, Maria, Machairas, Nikolaos, Schizas, Dimitrios, Syllaios, Athanasios, Vailas, Michail, Chlorakis, Georgios, Kalaitzakis, Evangelos, Tsafaridou, Maria, Mulita, Francesk, Verras, Georgios‐Ioannis, Gupta, Amit, Rajput, Deepak, Sharma, Oshin, Goud, Rajesh, Unnisa, Misbah, Bains, Lovenish, Singh, Nishu, Dhar, Jahnvi, Abdelmoeti, Mahmoud, Súilleabháin, Criostóir Ó, O'Connell, Robert, Calabro, Marcello, La Terra, Antonio, Muretore, Andrea, Contul, Riccardo Brachet, Diotallevi, Margherita, Mascaro, Annamaria, Millo, Paolo, Biondo, Santino Antonio, Mazzeo, Carmelo, Cucinotta, Eugenio, Fleres, Francesco, Marinak, AOUG, Brocco, Veronica, Ceresoli, Marco, Rennis, Maria, Centonze, Danilo, Distefano, Coatanza, Veroux, Massimiliano, Zerbo, Domenico, Bogoni, Selene, Biloslavo, Alan, Bianchi, Velentina, Candelli, Marcello, Franceschi, Francesco, Gasbarrini, Antonio, Nista, Enrico, Sganga, Gabriele, Tropeano, Giuseppe, Policlinico, Fondazione, Altieri, Caterina, Dinuzzi, Vincenza, Marconi, Matteo, Rivolta, Umberto, Dameno, Vitale Roberto, Papa, Mario V., Balla, Andrea, Lepiane, Pasquale, Saraceno, Federica, Aiolfi, Alberto, Bona, Davide, Sozzi, Andrea, Cianci, Pasquale, Varesano, Marco, Conversano, Ivana, Abete, Roberta, D'Avino, Raffaele, Marra, Ester, Marte, Gianpaolo, Tammaro, Pasquale, Gobatti, Davide, Marmaggi, Serena, Palmieri, Francesco, Sampietro, Roberto, Manca, Roberto, Pilla, Federica, Piras, Enrico, Pignata, Giusto, Canfora, Ilaria, Andreuccetti, Jacopo, D'Alessio, Rossella, Armellin, Claudia, Grossi, Ugo, Massani, Marco, Pontin, Alessandro, Stecca, Tommaso, Pilia, Tiaizna, Pisanu, Adolfo, Podda, Mauro, Giuffrida, Mario, Perrone, Gennaro, Guadagni, Simone, Morelli, Luca, Frontali, Alice, Basurto, Francesca, D'Ugo, Stefano, Manoochehri, Farshad, Spampinato, Marcello, Apadula, Laura, Preatoni, Paoletta, Sartarelli, Lodovico, Al‐Jaiuossi, Osama, Ernisova, Mairam, Sopuev, Andrey, Sua, Bruce, Farfus, Anthony, Teo, Keith, Smith, Brittany, Ratnayake, Bathiya, Buchanan, Jayvee, Clark, Elinor, Connor, Saxon, Hore, Todd, Attari, Salman, Kadir, Bushra, Memon, Sadik, Abbas, Zaigham, Quadeer, Muhammad Ali, Altaf, Abeer, Ameet, Pooja, Devi, Jalpa, Seerani, Nandlal, Afzal, Ameer, Akbar, Ali, Asghar, Mohammad Sohail, Sa, Tiago, Barreira, Ana Lucia, Carvalho, Numo, Cismasiu, Brigitta, Henriques, Susana, Luiz, Francisco Vara, Draghici, Andreea, Grigorean, Valentin, Porojan, Vlad, Stoian, Alexandru‐Rares, Teaca, Lucia, Arbutina, Dragana, Cuk, Vladica, Kovacevic, Bojan, Mandic, Luka, Bonney, Glenn, Gao, Yujia, Pang, Ning Qi, Bellil, Abdalla, Devar, John, Khan, Zafar, Khumalo, Vusi, Smith, Martin, Estevez‐Fernandez, Sergio, Mosquera, Beatriz Romero, Rodriguez, Sergio, Garcia‐Rayado, Guillermo, Piñerua‐Gonsalvez, Jean Felix, Ruiz Rebollo, M Lourdes, Olmos, Jose M., Tejedor‐Tejada, Javier, Diez‐Alonso, Manuel, Matias‐Garcia, Belen, Moreno, Fernando Mendoza, Vera‐Mansilla, Cristina, Roses, Helena Salvador, Gómez, Diego Vázquez, Oballe, Juan Rodriguez, Jayarajah, Umesh, Nandasena, Malith, Pathirana, Aloka, Galal‐Eldin, Sami, Hajibandeh, Shahab, Hamid, Hytham, Colak, Elif, Sydorchuk, Larysa, Knut, Ruslan, Voronyuk, Ksenia, Chooklin, Serge, Baryskyi, Vitalii, Sydorchuk, Ruslan, Mukherjee, Samrat, Patel, Maitreyi, Akhtar, Amina, Asarbakhsh, Miriam, Nolan, Frances, Schuijtvlot, Nicholaas, Prem, Sandhya, Thrikandiyur, Anuradha, Morris, Millicent, Mroczek, Thomas, Sgourakis, George, Sultana, Asma, Varley, Rebecca, Groot‐Wassink, Thomas, Labinoti, Roland, Packham, Brett, Seebah, Keving, Allen, Sophie, Mokhtassi, Shiva, Belgaumkar, Ajay, De'Ath, Henry, Cook, Amy, Delaney, Christopher, Johnson, Roisin, Azibaodinami, Becky Olali, Sartini, Ashley, Stanfield, Mea, Tomasi, Ivan, Kanakala, Venkat, Mbarushimana, Simon, McKeever, Mark, Batilli, Mamata, Bhatta, Gakul, Rai, Subash, Bond‐smith, Giles, Elserafy, Amr, Shams, Mohamed, Al Saoudi, Tareq, Bhardwaj, Neil, Hussain, Wajith, Lancellotti, Francesco, Montagnini, Greta, Cairns, George, Hollyman, Marianne, Rakin, Asef, Shahid, Mishal, Barbour, Fraser, Hawkyard, Jake, McTeer, Matthew, Pandanaboyana, Sanjay, Taylor, Ellie, Kuzman, Matta, Dyer, Sarah, Hopkins, James, Pournaras, Dimitri, Sudlow, Alexis, Kumar, SK, Aujayeb, Avinash, Leo, Alex, Senra, Fatima Lorenzana, Watfah, Josef, Barrie, Jenifer, Brown, Chris, Gomez, Dhanny, Aroori, Somaiah, Ciprani, Debora, Karmarkar, Rahi, Almomani, Eyas, Roberts, Keith, Fale, Madeleine, Gupta, Ajay, Marsden, Max, Seet, Chris, Soni, Lakshya, Hamdan, Mohammed, Sadera, Rohan, Sud, Vikas, Chinnah, Edith, Di Mauro, Davide, Manzelli, Antonio, Orabi, Amira, Presa, Roberto, Reece‐Smith, Alex, Wajed, Shahjehan, Fingret, Jacob, Shah, Nehal, Jatania, Jignesh, Krishna, Arun, Berry, David, Kitsikosta, Loukiani, Helliwell, Jack, Huntley, Benjamin, Pine, James, Yau, Jih‐Dar, Lee, Shiela, Mahawar, Kamal, Shetty, Neehar, Britton, Emily, Shaw, Alice, Laarhoven, Stijn, Gahunia, Sukhpreet, Ortega, Miguel Gargia, Lee, Adam, Ng, Cho Ee, El Kafsi, Jihene, Mason, John, Vithlani, Gauri, Benhmida, Rami, Gunell, James, Parmar, Chetan, Dorkeh, Da‐Costa, Elnagar, Mohamed, Lee, Jih Ian, Nessa, Ashrafun, Yeap, Zhu Hui, Hemadasa, Niroshini, Javed, Saria, Sami, Sharuk, Damaskos, Dimitrios, Healey, Andrew, Soupashi, Maria, Triantafyllou, Tania, Coats, Maria, Douglass, Benjamin, Hendry, Brid, Hussain, Yasmin, Javid, Zhara, Mantyla, Mia, Rajkumar, Khaman, Chin, Carven, Hajibandeh, Shahab, Kumar, Nagappan, Gerogiannis, Ioannis, Kapsampelis, Panagiotis, Gerge, Farid, Anderson, Gulsum, Dinh, Vu, Phillips, Anna, Yadav, Dhiraj, and Pandanaboyana, Sanjay

Abstract

Since there is no current international consensus on the optimal approach for pain management in acute pancreatitis (AP), analgesic practices may vary across different healthcare settings. This study explored global disparities in analgesic use, in particular opioids, during admission and at discharge in hospitalised AP patients. This was a post hoc analysis of the prospective PAINAP database, which included all admissions for AP between April and June 2022 with a 1‐month follow‐up. Demographic details, analgesic use, and clinical outcomes were recorded during admission and at discharge. Odds ratios (ORs) for opioid use during admission and at discharge were identified using multivariable regression analyses. Amongst the 1864 patients (52% males, median age 56 (interquartile range, 41–71)) across three different continents, simple analgesics were predominantly used as the primary analgesic (70%). Opioid use during admission was lowest in European centres (67%). Admission in Asian (OR, 2.53 (95% confidence interval (CI), 1.59–4.04), p< 0.001), and Australian (OR, 5.81 (95% CI, 3.19–10.56), p< 0.001) centres was associated with opioid administration during admission compared with European centres. Increased pain severity, longer pre‐admission pain duration, organ failure, and longer length of admission increased opioid use during admission. At discharge, Asian (OR, 2.01 (95% CI, 1.40–2.88), p< 0.001) and Australian (OR, 1.91 (95% CI, 1.28–2.85), p= 0.002) centres were associated with opioid prescription compared with European centres. Increased pain severity, longer pre‐admission pain duration, acute necrotic collections, and walled‐off necrosis also increased the likelihood of opioid prescription at discharge. There are substantial intercontinental differences in opioid use for AP pain. Accordingly, there is a need for international guidelines on pain management in AP.

Published
2024
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3. Comparison Between Single- and Multi-slice Computed Tomography Body Composition Analysis in Patients With Oesophagogastric Cancer.

Author

Brown LR, Soupashi M, Yule MS, Clyde DR, Gardner E, Smith C, Dhaif A, Laird BJA, Wigmore SJ, and Skipworth RJE

Subjects
Humans, Male, Female, Aged, Middle Aged, Aged, 80 and over, Body Composition, Tomography, X-Ray Computed methods, Esophageal Neoplasms diagnostic imaging, Esophageal Neoplasms mortality, Stomach Neoplasms diagnostic imaging, Stomach Neoplasms mortality
Abstract

Background: Single-slice computed tomography (CT) body composition has been studied extensively for prognostication in patients with cancer. New software packages can also provide multi-slice volumetric measurements, but the clinical utility of these remains under explored. This study aimed to evaluate the agreement between single- and multi-slice body composition analyses in patients with oesophagogastric cancer and to explore the association between these measures and overall survival., Methods: Consecutive patients with newly diagnosed oesophagogastric (OG) cancer were identified through the prospectively maintained regional database of the South East Scotland Cancer Network across a 2-year study period. CT body composition analyses were undertaken using scans collected during routine clinical care. Single-slice (cross-sectional area at mid L3) and multi-slice (volume between T12 and L4) measurements were compared for skeletal muscle (SKM), subcutaneous adipose (SAT), visceral adipose (VAT) and intermuscular adipose (IMAT). Agreement between sex-stratified z-scores was quantified using Pearson correlation coefficients and Bland-Altman analyses. Cox proportional hazard modelling was used to estimate the effect of these measures on overall survival., Results: Overall, 504 patients (67.9% male, median 72 years) were newly diagnosed with OG cancer during the study period. Single- and multi-slice (mean: 169 slices) measurements correlated highly for SKM (R: 0.97, p < 0.001), SAT (R: 0.98, p < 0.001), VAT (R: 0.97, p < 0.001), SKM radiodensity (R: 0.93, p < 0.001) and IMAT (R: 0.88, p < 0.001). Bias on Bland-Altman analysis was 0.00 for all tissue measurements. Limits of agreement (LoA) were narrowest for SAT (±0.43), VAT (±0.46) and SKM (±0.48), but slightly wider for SKM radiodensity (±0.73) and IMAT (±0.96). Adipose tissue 'outliers' (those where agreement between single- and multi-slice z-scores was outside the LoA) had a higher median weight and body mass index (BMI), suggestive of poorer agreement in patients with obesity. Sensitivity analysis, excluding those with BMI > 30, narrowed the LoA for SKM, VAT, SAT and IMAT. Direction and magnitudes of observed effect sizes for overall survival were all highly comparable, with hazard ratios for each tissue type varying by ≤ 0.04 between single- and multi-slice adjusted estimates., Conclusions: Single-slice and multi-slice CT assessments provide highly correlated tissue measurements amongst patients with OG cancer. Associations between these measurements and overall survival were also comparable across both types of body composition analysis. Agreement between single- and multi-slice measurements of adiposity is worse in patients with obesity, suggesting single-slice analyses may less accurately reflect the quantity or distribution of adipose tissue in this patient group., (© 2024 The Author(s). Journal of Cachexia, Sarcopenia and Muscle published by Wiley Periodicals LLC.)

Published
2025
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