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Long term opioid use after burn injury: a retrospective cohort study. BACKGROUND: Patients who have survive a burn injury might be at risk of opioid dependence after discharge. This study examined the use of opioids in patients who suffer burn injury and explored factors associated with persistent opioid use after hospital discharge. METHODS: This retrospective cohort study compared adults admitted with a burn injury from 2009 to 2019 with two matched comparison cohorts from the general population and adults with a diagnosis of acute pancreatitis. Pre-admission prescription opioid use was determined, and a multivariable negative binomial regression analysis used to explore post-discharge opioid use. RESULTS: A total of 7147 burn patients were matched with 6810 pancreatitis patients and with 28 184 individuals from the general population. Pre-admission opioid use was higher in the burn and pancreatitis cohorts (29% and 40%, respectively) compared with the general population (17%). Opioid use increased in both burn and pancreatitis cohorts after discharge (41% and 53%, respectively), although patients with pancreatitis were at even higher risk of increased opioid use in an adjusted analysis (incidence rate ratio 1.43). Female sex, lower socioeconomic status, ICU admission, pre-injury opioid use, and a history of excess alcohol use were all associated with an increase in opioid prescriptions after discharge. CONCLUSIONS: Opioid use is high in those admitted with a burn injury or acute pancreatitis when compared with the general population, increasing further after hospital discharge. Female sex and socioeconomic deprivation are among factors that make increased opioid use more likely, although this phenomenon seems even more pronounced in those with acute pancreatitis compared with burn injuries.

This study was carried out as a retrospective cohort study using national administrative data sources including the National Records Scotland (NRS), Prescription Information System (PIS), Care of Burns in Scotland (COBIS), and records of acute (SMR01) and psychiatric (SMR04) hospital admissions. All adults >16 yr old admitted to hospital in Scotland with a primary diagnosis of burn injury from January 1, 2009 to December 31, 2019 were included. Two additional cohorts were then matched; firstly, those with an acute hospital admission with a diagnosis of acute pancreatitis and secondly a cohort of individuals selected from the general population from the Community Health Index (CHI) database without either of the aforementioned diagnoses. Patients from the acute pancreatitis cohort were matched to the index burn-injured cohort in a 1:1 ratio, matched on sex, socioeconomic deprivation, and age. The general population cohort were matched using the same criteria in a 1:4 ratio. Patients in all cohorts were >16 yr old.

All adults >16 yr old admitted to hospital in Scotland with a primary diagnosis of burn injury from January 1, 2009 to December 31, 2019 were included. Two additional cohorts were then matched; firstly, those with an acute hospital admission with a diagnosis of acute pancreatitis and secondly a cohort of individuals selected from the general population from the Community Health Index (CHI) database without either of the aforementioned diagnoses. Patients from the acute pancreatitis cohort were matched to the index burn-injured cohort in a 1:1 ratio, matched on sex, socioeconomic deprivation, and age. The general population cohort were matched using the same criteria in a 1:4 ratio. Patients in all cohorts were >16 yr old. Patient demographic data were extracted from SMR01 using the Scottish Index of Multiple Deprivation (SIMD) to describe socioeconomic deprivation. The SIMD is the Scottish Government's standard approach to identify areas of deprivation taking into account factors such as income, employment, education, health, access to services, crime, and housing.24 Quintile 1 translates to the 20% most deprived in Scotland whilst quintile 5 to the 20% least deprived in Scotland. Burn injury details were extracted from both the COBIS and SMR01 data. Ethnicity data was gathered from SMR01 or the CHI database and simplified from >20 subcategories into five broad categories. Comorbidity data were extracted from the COBIS, SMR01, and SMR04 datasets in the 5 yr preceding the index hospital admission using relevant ICD-10 (International Statistical Classification of Diseases and Related Health Problems) codes. These data were converted to classify conditions using the Elixhauser comorbidity index.25 This was used to form total morbidity which was a count of the number of different conditions the patient had. If an individual had two or more conditions, they were classified as multimorbid.

and Related Health Problems) codes. These data were converted to classify conditions using the Elixhauser comorbidity index.25 This was used to form total morbidity which was a count of the number of different conditions the patient had. If an individual had two or more conditions, they were classified as multimorbid. Drug prescription data for 1 yr pre-admission and 1 yr after discharge were extracted from the PIS, a database of all NHS Scotland prescriptions dispensed in the community. For those in the general population cohort, the index date of admission was taken to be the corresponding admission date of the individual they were matched to in the burn cohort. Datasets were linked by the electronic Data Research and Innovation Service (eDRIS), part of Public Health Scotland (PHS). Proportionate governance approval was granted by the Public Benefit and Privacy Panel (PBPP), reference: 1819-0287. Research ethics approval (REC) was granted by the NHS Health Research Authority, REC reference: 20/HRA/1590, IRAS project ID: 263159. The primary outcome was the number of patients prescribed an opioid in the 12 months after discharge from hospital. Secondary outcomes were the number of recurrent users of opioids (classified as receiving three or more prescriptions) and the number of opioid prescriptions dispensed.

Datasets were linked by the electronic Data Research and Innovation Service (eDRIS), part of Public Health Scotland (PHS). Proportionate governance approval was granted by the Public Benefit and Privacy Panel (PBPP), reference: 1819-0287. Research ethics approval (REC) was granted by the NHS Health Research Authority, REC reference: 20/HRA/1590, IRAS project ID: 263159. The primary outcome was the number of patients prescribed an opioid in the 12 months after discharge from hospital. Secondary outcomes were the number of recurrent users of opioids (classified as receiving three or more prescriptions) and the number of opioid prescriptions dispensed. Statistical analyses were performed using R version 3.6.1 (Foundation for Statistical Computing, Vienna, Austria). Analysis of the differences in comorbidities between each cohort were carried out using Pearson's χ2 test or Fisher's exact test as appropriate. To explore factors associated with the number of opioid prescriptions dispensed after discharge, only patients from the burns and pancreatitis cohorts were included. Patients who died during hospital admission were excluded and a negative binomial regression analysis used to analyse variables associated with the number of opioid prescriptions in the year after discharge. Univariable analysis was conducted first to assess any variables associated with the number of opioid prescriptions after discharge. Any variables with a P-value <0.1 were included in the multivariable analysis and a backwards stepwise regression approach used to build a model. Statistical significance was set at a P-value <0.05.

All adults >16 yr old admitted to hospital in Scotland with a primary diagnosis of burn injury from January 1, 2009 to December 31, 2019 were included. Two additional cohorts were then matched; firstly, those with an acute hospital admission with a diagnosis of acute pancreatitis and secondly a cohort of individuals selected from the general population from the Community Health Index (CHI) database without either of the aforementioned diagnoses. Patients from the acute pancreatitis cohort were matched to the index burn-injured cohort in a 1:1 ratio, matched on sex, socioeconomic deprivation, and age. The general population cohort were matched using the same criteria in a 1:4 ratio. Patients in all cohorts were >16 yr old.

Patient demographic data were extracted from SMR01 using the Scottish Index of Multiple Deprivation (SIMD) to describe socioeconomic deprivation. The SIMD is the Scottish Government's standard approach to identify areas of deprivation taking into account factors such as income, employment, education, health, access to services, crime, and housing.24 Quintile 1 translates to the 20% most deprived in Scotland whilst quintile 5 to the 20% least deprived in Scotland. Burn injury details were extracted from both the COBIS and SMR01 data. Ethnicity data was gathered from SMR01 or the CHI database and simplified from >20 subcategories into five broad categories. Comorbidity data were extracted from the COBIS, SMR01, and SMR04 datasets in the 5 yr preceding the index hospital admission using relevant ICD-10 (International Statistical Classification of Diseases and Related Health Problems) codes. These data were converted to classify conditions using the Elixhauser comorbidity index.25 This was used to form total morbidity which was a count of the number of different conditions the patient had. If an individual had two or more conditions, they were classified as multimorbid. Drug prescription data for 1 yr pre-admission and 1 yr after discharge were extracted from the PIS, a database of all NHS Scotland prescriptions dispensed in the community. For those in the general population cohort, the index date of admission was taken to be the corresponding admission date of the individual they were matched to in the burn cohort.

Datasets were linked by the electronic Data Research and Innovation Service (eDRIS), part of Public Health Scotland (PHS). Proportionate governance approval was granted by the Public Benefit and Privacy Panel (PBPP), reference: 1819-0287. Research ethics approval (REC) was granted by the NHS Health Research Authority, REC reference: 20/HRA/1590, IRAS project ID: 263159.

The primary outcome was the number of patients prescribed an opioid in the 12 months after discharge from hospital. Secondary outcomes were the number of recurrent users of opioids (classified as receiving three or more prescriptions) and the number of opioid prescriptions dispensed.

Statistical analyses were performed using R version 3.6.1 (Foundation for Statistical Computing, Vienna, Austria). Analysis of the differences in comorbidities between each cohort were carried out using Pearson's χ2 test or Fisher's exact test as appropriate. To explore factors associated with the number of opioid prescriptions dispensed after discharge, only patients from the burns and pancreatitis cohorts were included. Patients who died during hospital admission were excluded and a negative binomial regression analysis used to analyse variables associated with the number of opioid prescriptions in the year after discharge. Univariable analysis was conducted first to assess any variables associated with the number of opioid prescriptions after discharge. Any variables with a P-value <0.1 were included in the multivariable analysis and a backwards stepwise regression approach used to build a model. Statistical significance was set at a P-value <0.05.

During the study period 7147 burn patients were identified. These patients were matched with 6810 patients from the pancreatitis cohort and 28 184 patients from the general population. Details of the matching criteria can be seen in Figure 1. Patients across the three cohorts were well matched for baseline patient characteristics including age, sex, and SIMD as seen in Table 1.Fig 1Consort diagram illustrating the synthesis of each cohort. CHI, Community Health Index. SMR01, Scottish Morbidity Record of general/ acute inpatient and day case.Fig 1Table 1Baseline patient characteristics in each cohort. IQR, inter-quartile range. NA, not applicable.Table 1CharacteristicBurn, N=7147General population, N=28 184Pancreatitis, N=6810Age (yr), median (IQR)47 (32–64)48 (32–65)49 (35–66)Sex, n (%) Male4556 (64)17 904 (64)4240 (62) Female2591 (36)10 280 (36)2570 (38)Scottish Index of Multiple Deprivation, n (%) 12116 (30)8107 (29)2070 (30) 21667 (23)6345 (23)1585 (23) 31335 (19)5444 (19)1343 (20) 41127 (16)4605 (16)1010 (15) 5792 (11)3516 (12)792 (12) Unknown110 (1.5)167 (0.6)10 (0.1)ICU Admission, n (%)590 (8.3)NA428 (6.3)Ethnicity, n (%) Any White background5635 (79)11 491 (41)5752 (84) Any mixed ethnic group11 (0.2)26 (0.1)11 (0.2) Any Asian background77 (1.1)145 (0.5)76 (1.1) Other ethnic group45 (0.6)52 (0.2)22 (0.3) Any Black background18 (0.3)36 (0.1)24 (0.4) Unknown ethnicity1361 (19)16 434 (58)925 (14)Comorbidity, n (%) No comorbidity5797 (81)26 178 (93)5608 (82) One comorbidity993 (14)1646 (5.8)921 (14)Two or more comorbidities357 (5.0)360 (1.3)281 (4.1) Alcohol abuse403 (5.6)149 (0.5)466 (6.8) Drug abuse85 (1.2)26 (<0.1)23 (0.3) Psychoses70 (1.0)59 (0.2)21 (0.3) Depression90 (1.3)68 (0.2)40 (0.6)Prescription drug use, n (%) Antipsychotics453 (6.3)535 (1.9)287 (4.2) Antiepileptics894 (13)1155 (4.1)580 (8.5) Antidepressants2110 (30)3943 (14)1990 (29) Anxiolytics1301 (18)1963 (7.0)1181 (17) Drugs for substance dependence676 (9.5)905 (3.2)514 (7.5)

sychoses70 (1.0)59 (0.2)21 (0.3) Depression90 (1.3)68 (0.2)40 (0.6)Prescription drug use, n (%) Antipsychotics453 (6.3)535 (1.9)287 (4.2) Antiepileptics894 (13)1155 (4.1)580 (8.5) Antidepressants2110 (30)3943 (14)1990 (29) Anxiolytics1301 (18)1963 (7.0)1181 (17) Drugs for substance dependence676 (9.5)905 (3.2)514 (7.5) Consort diagram illustrating the synthesis of each cohort. CHI, Community Health Index. SMR01, Scottish Morbidity Record of general/ acute inpatient and day case. Baseline patient characteristics in each cohort. IQR, inter-quartile range. NA, not applicable. Patients with a burn injury or acute pancreatitis had a significantly higher comorbidity burden than those in the general population cohort across multiple categories (Table 1 and Supplementary material). Alcohol abuse was the most common comorbidity in both the burn cohort (5.6%) and pancreatitis cohort (6.8%), both significantly higher than the general population (0.5%). Drug abuse, depression, and psychosis were also higher in the burn cohort (P-value <0.001). The use of prescription drugs across multiple categories was also significantly higher in both the burn and pancreatitis cohorts compared with the general population, especially regarding drugs used for mental health conditions or substance dependence (Table 1 and Supplementary material).

burn cohort (P-value <0.001). The use of prescription drugs across multiple categories was also significantly higher in both the burn and pancreatitis cohorts compared with the general population, especially regarding drugs used for mental health conditions or substance dependence (Table 1 and Supplementary material). Only 2276 (32%) patients in the burn cohort had data on the mechanism of injury and 3012 (42%) on the size of burn (see Supplementary material). From available data, hot liquid burns were the most common burn type (34%) and the majority of burns affected <20% total body surface area (TBSA) (94%). Burns affecting 20–49% of TBSA accounted for 3.9% of injuries and only 2.3% had a burn >50% TBSA. Only 1.6% of patients had a known airway burn and 1.9% had a known associated smoke inhalation injury.

urns were the most common burn type (34%) and the majority of burns affected <20% total body surface area (TBSA) (94%). Burns affecting 20–49% of TBSA accounted for 3.9% of injuries and only 2.3% had a burn >50% TBSA. Only 1.6% of patients had a known airway burn and 1.9% had a known associated smoke inhalation injury. Pre-admission opioid prescriptions were higher in both the burns cohort (29%) and pancreatitis cohort (40%) than the general population (17%) (Table 2). The most common opioid prescribed was co-codamol across all three cohorts.Table 2Pre-injury opioid use and post-discharge opioid use of patients in each cohort. The numbers of each type of drug prescribed show the number of patients receiving that drug, with each patient potentially receiving more than one opioid drug. NA, not applicable. ∗n (%) or mean (minimum) (maximum).Table 2CharacteristicPre-injury opioid usePost-discharge opioid useBurn, N=7147∗General population, N=28 184∗Pancreatitis, N=6810∗Burn, N=6884∗Pancreatitis, N=6578∗Receiving opioid prescriptions2057 (29)4888 (17)2735 (40)2805 (41)3464 (53)Recurrent opioid user (≥3 prescriptions)1276 (18)2675 (9.5)1613 (24)1546 (22)2141 (33)Number of opioid prescriptions2.0 (0.0) (66.0)1.0 (0.0) (68.0)2.6 (0.0) (100.0)2.5 (0.0) (81.0)3.9 (0.0) (117.0)Opioid-naive pre-admission5090 (71)23 296 (83)4075 (60)NANAOpioid-naive patient who became an opioid user after dischargeNANANA1371 (20)1459 (22)Opioid-naive patient who became recurrent user after dischargeNANANA480 (6.9)613 (9.3)Co-codamol1227 (17)3227 (11)1674 (25)1395 (20)1700 (26)Tramadol hydrochloride498 (7.0)1019 (3.6)686 (10)705 (10)1249 (19)Fentanyl44 (0.6)57 (0.2)42 (0.6)49 (0.7)77 (1.2)Co-dydramol185 (2.6)538 (1.9)279 (4.1)174 (2.5)262 (4.0)Dihydrocodeine tartrate303 (4.2)448 (1.6)366 (5.4)672 (9.8)703 (11)Morphine303 (4.2)448 (1.6)366 (5.4)318 (4.6)484 (7.4)Oxycodone75 (1.0)105 (0.4)70 (1.0)138 (2.0)207 (3.1)Codeine phosphate127 (1.8)198 (0.7)178 (2.6)229 (3.3)262 (4.0)Co-codamol with buclizine hydrochloride27 (0.4)39 (0.1)21 (0.3)16 (0.2)14 (0.2)Buprenorphine19 (0.3)54 (0.2)26 (0.4)35 (0.5)32 (0.5)Other opioid21 (0.3)57 (0.2)33 (0.5)45 (0.7)55 (0.8)

5.4)318 (4.6)484 (7.4)Oxycodone75 (1.0)105 (0.4)70 (1.0)138 (2.0)207 (3.1)Codeine phosphate127 (1.8)198 (0.7)178 (2.6)229 (3.3)262 (4.0)Co-codamol with buclizine hydrochloride27 (0.4)39 (0.1)21 (0.3)16 (0.2)14 (0.2)Buprenorphine19 (0.3)54 (0.2)26 (0.4)35 (0.5)32 (0.5)Other opioid21 (0.3)57 (0.2)33 (0.5)45 (0.7)55 (0.8) Pre-injury opioid use and post-discharge opioid use of patients in each cohort. The numbers of each type of drug prescribed show the number of patients receiving that drug, with each patient potentially receiving more than one opioid drug. NA, not applicable. ∗n (%) or mean (minimum) (maximum). Exploring post-discharge opioid prescriptions, 263 burn-injured patients and 232 patients with pancreatitis were excluded as they died during hospital admission. Therefore 6884 burns patients and 6573 pancreatitis patients were included in the post-injury opioid use analysis (Fig. 1). The number of patients being prescribed opioids post-discharge increased by >10% in both the burns cohort (41%) and pancreatitis cohort (53%), as did the number and proportion of patients defined as recurrent users, receiving three or more opioid prescriptions (Table 2). Of note, 480 (6.9%) of the patients in the burn cohort and 613 (9.3%) in the pancreatitis cohort who received three or more opioid prescriptions after discharge were opioid naive in the 12 months preceding hospital admission. The mean number of prescriptions dispensed to patients also increased in both cohorts.

ble 2). Of note, 480 (6.9%) of the patients in the burn cohort and 613 (9.3%) in the pancreatitis cohort who received three or more opioid prescriptions after discharge were opioid naive in the 12 months preceding hospital admission. The mean number of prescriptions dispensed to patients also increased in both cohorts. Univariable analysis of factors associated with the number of opioid prescriptions after discharge is seen in Table 3. The pancreatitis cohort were at a higher risk of increased opioid use after their injury compared with the burn cohort (IRR 1.55, confidence interval [CI] 1.44–1.66, P<0.001). Females were more likely to be prescribed more opioids than males (IRR 1.45, CI 1.34–1.56, P<0.001) (Fig. 2). Previous opioid use, multimorbidity, admission to ICU, and socioeconomic deprivation (Fig. 2) were all associated with higher opioid prescriptions after discharge. Increasing severity of burn injury, as measured by %TBSA, was also associated with higher opioid use in an analysis excluding those with pancreatitis.Table 3Univariable analysis of factors associated with an increase in opioid prescriptions after discharge from index admission. In all factors the cohort was accounted for when performing statistical tests. CI, confidence interval; IRR, incidence rate ratio; SIMD, Scottish Index of Multiple Deprivation; TBSA, total body surface area. ∗Calculated for each 1-yr increase in age. †Calculated for the burns cohort only.Table 3FactorIRR95% CIP-valueCohort BurnReferenceReference Pancreatitis1.551.44–1.66<0.001Age (yr)∗1.011.01–1.01<0.001Sex MaleReferenceReference Female1.451.34–1.56<0.001Ethnic group Any White backgroundReferenceReference Any mixed ethnic group0.40.17–1.110.048 Any Asian background0.540.39–0.78<0.001 Other ethnic group0.540.33–0.940.019 Any Black background0.320.17–0.680.001 Unknown ethnicity0.450.41–0.50<0.001SIMD quintile 1ReferenceReference 20.880.80–0.970.012 30.750.68–0.83<0.001 40.630.56–0.70<0.001 50.580.51–0.66<0.001Pre-injury opioid use5.425.08–5.79<0.001ICU1.341.16–1.56<0.001Total morbidity count1.391.30–1.49<0.001Multimorbidity1.581.33–1.89<0.001Alcohol abuse1.431.24–1.67<0.001Drug abuse1.050.72–1.620.8Depression1.511.06–2.240.031Psychoses1.130.75–1.810.6TBSA† <20%ReferenceReference 20–49%2.391.49–4.13<0.001 >50%2.221.13–5.210.038Fig 2Graphical representation of number of opioid prescriptions after discharge when comparing different factors of interest using univariable analysis of both cohorts.

abuse1.050.72–1.620.8Depression1.511.06–2.240.031Psychoses1.130.75–1.810.6TBSA† <20%ReferenceReference 20–49%2.391.49–4.13<0.001 >50%2.221.13–5.210.038Fig 2Graphical representation of number of opioid prescriptions after discharge when comparing different factors of interest using univariable analysis of both cohorts. SIMD, Scottish Index of Multiple Deprivation.Fig 2 Univariable analysis of factors associated with an increase in opioid prescriptions after discharge from index admission. In all factors the cohort was accounted for when performing statistical tests. CI, confidence interval; IRR, incidence rate ratio; SIMD, Scottish Index of Multiple Deprivation; TBSA, total body surface area. ∗Calculated for each 1-yr increase in age. †Calculated for the burns cohort only. Graphical representation of number of opioid prescriptions after discharge when comparing different factors of interest using univariable analysis of both cohorts. SIMD, Scottish Index of Multiple Deprivation.

Univariable analysis of factors associated with an increase in opioid prescriptions after discharge from index admission. In all factors the cohort was accounted for when performing statistical tests. CI, confidence interval; IRR, incidence rate ratio; SIMD, Scottish Index of Multiple Deprivation; TBSA, total body surface area. ∗Calculated for each 1-yr increase in age. †Calculated for the burns cohort only. Graphical representation of number of opioid prescriptions after discharge when comparing different factors of interest using univariable analysis of both cohorts. SIMD, Scottish Index of Multiple Deprivation. Multivariable analysis of both cohorts is shown in Table 4. Female sex, lower socioeconomic status, ICU admission during hospital stay, pre-injury opioid use, and a history of alcohol excess were all associated with an increase in opioid prescriptions after discharge. Patients from some ethnic minority backgrounds were less likely to have opioid prescriptions after discharge compared with white participants. People from more affluent areas of residence were also less likely to be prescribed opioids after discharge compared with those from more deprived areas.Table 4Multivariable analysis of factors associated with an increase in opioid prescriptions after discharge from index injury. CI, confidence interval; IRR, incidence rate ratio; SIMD, Scottish Index of Multiple Deprivation.Table 4FactorIRR95% CIP-valueCohort BurnReferenceReference Pancreatitis1.431.34–1.53<0.001Sex MaleReferenceReference Female1.151.07–1.23<0.001Ethnic group Any White backgroundReferenceReference Any mixed ethnic group0.490.22–1.200.091 Any Asian background0.650.48–0.900.008 Other ethnic group0.660.42–1.100.093 Any Black background0.530.29–1.020.043 Unknown ethnicity0.660.60–0.72<0.001SIMD quintile 1ReferenceReference 20.930.85–1.020.11 30.840.77–0.92<0.001 40.740.67–0.82<0.001 50.740.66–0.83<0.001ICU1.71.49–1.94<0.001Pre-injury opioid use5.064.73–5.41<0.001Alcohol abuse1.21.06–1.370.006

8 Other ethnic group0.660.42–1.100.093 Any Black background0.530.29–1.020.043 Unknown ethnicity0.660.60–0.72<0.001SIMD quintile 1ReferenceReference 20.930.85–1.020.11 30.840.77–0.92<0.001 40.740.67–0.82<0.001 50.740.66–0.83<0.001ICU1.71.49–1.94<0.001Pre-injury opioid use5.064.73–5.41<0.001Alcohol abuse1.21.06–1.370.006 Multivariable analysis of factors associated with an increase in opioid prescriptions after discharge from index injury. CI, confidence interval; IRR, incidence rate ratio; SIMD, Scottish Index of Multiple Deprivation. In a separate multivariable analysis including only those with a burn injury, increasing size of burn injury was associated with increased opioid prescriptions in those with a burn 20–49% TBSA (IRR 3.18, 95% CI 2.05–5.15, P<0.001) but the correlation in burns >50% TBSA did not reach statistical significance (IRR 1.77, CI 0.98–3.57, P=0.078) (see Supplementary material).

This study has explored the use of opioid prescriptions in a cohort of burn-injured patients compared with two control groups. The pre-injury use of these drugs was significantly higher in those who suffered a burn injury compared with the general population. Comorbidities including depression, psychosis, and drug abuse were also found to be more prevalent among this cohort, echoing similar results found in other studies.2 After burn injury, 41% of patients received an opioid prescription in the year after discharge. This is higher than results seen in other studies where 25% of patients received an opioid prescription 7 days after discharge11 or 30% were prescribed opioids on day 30 after discharge.6 Both of these studies were conducted in the USA; to our knowledge this is the first study to be conducted in the UK. Although males accounted for a higher proportion of each cohort, females were more likely to receive opioid prescriptions after discharge. This is in contrast to previous studies that have not demonstrated an association between sex and opioid use after burn injury.6,16 However, studies exploring opioid use after other conditions, including pancreatitis and spinal cord dysfunction, have found a positive association between female sex and increased opioid use.26,27

n contrast to previous studies that have not demonstrated an association between sex and opioid use after burn injury.6,16 However, studies exploring opioid use after other conditions, including pancreatitis and spinal cord dysfunction, have found a positive association between female sex and increased opioid use.26,27 Socioeconomic deprivation has consistently been demonstrated to be a risk factor for a multitude of health conditions, including sustaining a burn injury, and other health outcomes. This has been reflected in this study with patients from more affluent geographical areas being at less risk of being prescribed opioids after burn injury. This phenomenon linking deprivation and opioid use has been demonstrated in other studies.28 Admission to the ICU was associated with higher opioid use after discharge in this study in both univariable and multivariable analysis. The association between ICU admission and opioid dependency has been debated over the past decade, with research finding conflicting results.29,30 However, with a recognition that there is a frequent requirement for opioid analgesia in the critical care setting, often regardless of the underlying pathology, and a high prevalence of chronic pain after ICU survival, there has been growing interest in measures to reduce the risk of both chronic pain and the risk of opioid dependency after ICU discharge.29

s a frequent requirement for opioid analgesia in the critical care setting, often regardless of the underlying pathology, and a high prevalence of chronic pain after ICU survival, there has been growing interest in measures to reduce the risk of both chronic pain and the risk of opioid dependency after ICU discharge.29 Individuals from Asian or Black ethnic backgrounds were found to be at a lower risk of opioid prescriptions after discharge compared with people from a White ethnic background. Deficiencies in the use of analgesic medications for people from ethnic minorities have been highlighted in recent studies involving various pathologies or conditions.31,32 The results of this study might reflect this phenomenon but should be interpreted with caution given the low number of patients of ethnic minority background and significant number of individuals with missing data regarding ethnicity.

been highlighted in recent studies involving various pathologies or conditions.31,32 The results of this study might reflect this phenomenon but should be interpreted with caution given the low number of patients of ethnic minority background and significant number of individuals with missing data regarding ethnicity. As opioid use increased after burn injury, a similar trend was observed in those with acute pancreatitis, reflecting the findings of other studies.33,34 Opioid use was higher in the pancreatitis cohort compared with those with a burn injury in both pre-admission and post-discharge analysis. This difference between cohorts persisted in the multivariable binomial regression analysis, perhaps accounted for by the higher prevalence of opioid use pre-admission in the pancreatitis cohort or persisting pain because of recurrent or chronic pancreatitis.35 Pre-existing opioid use was associated with increased post-discharge prescriptions, reflecting previous studies that demonstrate prior opioid use being a risk factor for developing chronic opioid use.11,26

id use pre-admission in the pancreatitis cohort or persisting pain because of recurrent or chronic pancreatitis.35 Pre-existing opioid use was associated with increased post-discharge prescriptions, reflecting previous studies that demonstrate prior opioid use being a risk factor for developing chronic opioid use.11,26 To our knowledge this is the first study comparing opioid prescribing patterns in patients who suffer a burn injury in comparison with two matched cohorts. The large patient groups with well-matched controls allows for appropriate reflection of results across the population. The datasets used in this study are national databases that are well integrated within Scotland's healthcare system and undergo regular audit to ensure validity of the data.36 Exploratory analysis of factors associated with the number of opioid prescriptions using multivariable binomial regression analysis allowed better interpretation of post-discharge opioid prescriptions given the wide variation in the number of prescriptions each individual received.

dit to ensure validity of the data.36 Exploratory analysis of factors associated with the number of opioid prescriptions using multivariable binomial regression analysis allowed better interpretation of post-discharge opioid prescriptions given the wide variation in the number of prescriptions each individual received. This study has several limitations. Firstly, the use of administrative healthcare databases are recognised to lack the granularity of data to fully describe cohorts, especially regarding elements such as pre-existing comorbidity.37 By using the number of opioid prescriptions in the 12 months after discharge this did not account for the chronological relationship between the index event and the opioid prescriptions, perhaps detecting additional opioid prescriptions given for other conditions. Additionally, this study does not accurately quantify the incidence of pain after burn injury, rather uses opioids as a surrogate marker of pain. Furthermore, although this study shows an increase in number of prescriptions after discharge, it is limited in making any conclusions regarding the appropriateness of these prescriptions or any harm associated with them.

antify the incidence of pain after burn injury, rather uses opioids as a surrogate marker of pain. Furthermore, although this study shows an increase in number of prescriptions after discharge, it is limited in making any conclusions regarding the appropriateness of these prescriptions or any harm associated with them. Individuals who have been hospitalised with a burn injury are more likely to be prescribed opioids, have mental health conditions, and have substance abuse problems compared with patients of the same sex, age, and socioeconomic deprivation from the general population. Risk factors for increased opioid use after discharge after burn injury include female sex, socioeconomic deprivation, ICU admission, pre-injury opioid use, and a history of alcohol abuse. In comparison to the similar painful, inflammatory, multisystem condition of acute pancreatitis, burn-injured patients were not at any additional risk of increased opioid use after discharge. This might be explained by the high prevalence of opioid use in patients with acute pancreatitis, the high burden of comorbidity in this comparator cohort, or the likelihood of developing recurrent or chronic pancreatitis or even pancreatic cancer. Opioids are associated with dependence and harm. This study helps to emphasise the vigilance required when prescribing opioids in this patient group, especially given the abundance of common risk factors seen in burn injury and opioid dependency such as alcohol abuse and mental health conditions.

To our knowledge this is the first study comparing opioid prescribing patterns in patients who suffer a burn injury in comparison with two matched cohorts. The large patient groups with well-matched controls allows for appropriate reflection of results across the population. The datasets used in this study are national databases that are well integrated within Scotland's healthcare system and undergo regular audit to ensure validity of the data.36 Exploratory analysis of factors associated with the number of opioid prescriptions using multivariable binomial regression analysis allowed better interpretation of post-discharge opioid prescriptions given the wide variation in the number of prescriptions each individual received. This study has several limitations. Firstly, the use of administrative healthcare databases are recognised to lack the granularity of data to fully describe cohorts, especially regarding elements such as pre-existing comorbidity.37 By using the number of opioid prescriptions in the 12 months after discharge this did not account for the chronological relationship between the index event and the opioid prescriptions, perhaps detecting additional opioid prescriptions given for other conditions. Additionally, this study does not accurately quantify the incidence of pain after burn injury, rather uses opioids as a surrogate marker of pain. Furthermore, although this study shows an increase in number of prescriptions after discharge, it is limited in making any conclusions regarding the appropriateness of these prescriptions or any harm associated with them.

Individuals who have been hospitalised with a burn injury are more likely to be prescribed opioids, have mental health conditions, and have substance abuse problems compared with patients of the same sex, age, and socioeconomic deprivation from the general population. Risk factors for increased opioid use after discharge after burn injury include female sex, socioeconomic deprivation, ICU admission, pre-injury opioid use, and a history of alcohol abuse. In comparison to the similar painful, inflammatory, multisystem condition of acute pancreatitis, burn-injured patients were not at any additional risk of increased opioid use after discharge. This might be explained by the high prevalence of opioid use in patients with acute pancreatitis, the high burden of comorbidity in this comparator cohort, or the likelihood of developing recurrent or chronic pancreatitis or even pancreatic cancer. Opioids are associated with dependence and harm. This study helps to emphasise the vigilance required when prescribing opioids in this patient group, especially given the abundance of common risk factors seen in burn injury and opioid dependency such as alcohol abuse and mental health conditions.

Study conception and design: CM, KP, TQ Data acquisition: CM, TQ Data analysis: CM, SJ, MS Data interpretation: CM, SJ, MS, KP, TQ Drafting of the manuscript: SJ, CM Revising of manuscript critically for important intellectual content: CM, SJ, MS, KP, TQ Final approval of manuscript: all authors All authors agree to be accountable for all aspects of this work.

UK National Institute of Academic Anaesthesia (NIAA) Association of Anaesthetists research grant (NIAA19R213); NHS Greater Glasgow and Clyde Endowment Fund (GN19AE535); and National Institute of Academic Anaesthesia (NIAA) Association of Anaesthetists John Snow Anaesthesia Intercalated Award.