scholarly journals Sex differences in type and occurrence of adverse reactions to opioid analgesics: a retrospective cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044157
Author(s):  
Guilherme S Lopes ◽  
Suzette Bielinski ◽  
Ann M Moyer ◽  
Debra J Jacobson ◽  
Liwei Wang ◽  
...  

ObjectivesSex as a biological variable affects response to opioids. However, few reports describe the prevalence of specific adverse reactions to commonly prescribed opioids in men and women separately. A large cohort was used to investigate sex differences in type and occurrence of adverse reactions associated with use of codeine, tramadol, oxycodone and hydrocodone.DesignRetrospective cohort study.SettingParticipants in the Right Drug, Right Dose, Right Time (RIGHT) Study.ParticipantsThe medical records of 8457 participants in the RIGHT Study who received an opioid prescription between 1 January 2004 and 31 December 2017 were reviewed 61% women, 94% white, median age (Q1–Q3)=58 (47–66).Primary and secondary outcome measuresAdverse reactions including gastrointestinal, skin, psychiatric and nervous system issues were collected from the allergy section of each patient’s medical record. Sex differences in the risk of adverse reactions due to prescribed opioids were modelled using logistic regression adjusted for age, body mass index, race and ethnicity.ResultsFrom 8457 participants (of which 449 (5.3%) reported adverse reactions), more women (6.5%) than men (3.4%) reported adverse reactions to at least one opioid (OR (95% CI)=2.3 (1.8 to 2.8), p<0.001). Women were more likely to report adverse reactions to tramadol (OR (95% CI)=2.8 (1.8 to 4.4), p<0.001) and oxycodone (OR (95% CI)=2.2 (1.7 to 2.9), p<0.001). Women were more likely to report gastrointestinal (OR (95% CI)=3.1 (2.3 to 4.3), p<0.001), skin (OR (95% CI)=2.1 (1.4 to 3.3), p=0.001) and nervous system issues (OR (95% CI)=2.3 (1.3 to 4.2), p=0.004).ConclusionsThese findings support the importance of sex as a biological variable to be factored into pain management studies.

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e049089
Author(s):  
Marcia C Castro ◽  
Susie Gurzenda ◽  
Eduardo Marques Macário ◽  
Giovanny Vinícius A França

ObjectiveTo provide a comprehensive description of demographic, clinical and radiographic characteristics; treatment and case outcomes; and risk factors associated with in-hospital death of patients hospitalised with COVID-19 in Brazil.DesignRetrospective cohort study of hospitalised patients diagnosed with COVID-19.SettingData from all hospitals across Brazil.Participants522 167 hospitalised patients in Brazil by 14 December 2020 with severe acute respiratory illness, and a confirmed diagnosis for COVID-19.Primary and secondary outcome measuresPrevalence of symptoms and comorbidities was compared by clinical outcomes and intensive care unit (ICU) admission status. Survival was assessed using Kaplan Meier survival estimates. Risk factors associated with in-hospital death were evaluated with multivariable Cox proportional hazards regression.ResultsOf the 522 167 patients included in this study, 56.7% were discharged, 0.002% died of other causes, 30.7% died of causes associated with COVID-19 and 10.2% remained hospitalised. The median age of patients was 61 years (IQR, 47–73), and of non-survivors 71 years (IQR, 60–80); 292 570 patients (56.0%) were men. At least one comorbidity was present in 64.5% of patients and in 76.8% of non-survivors. From illness onset, the median times to hospital and ICU admission were 6 days (IQR, 3–9) and 7 days (IQR, 3–10), respectively; 15 days (IQR, 9–24) to death and 15 days (IQR, 11–20) to hospital discharge. Risk factors for in-hospital death included old age, Black/Brown ethnoracial self-classification, ICU admission, being male, living in the North and Northeast regions and various comorbidities. Age had the highest HRs of 5.51 (95% CI: 4.91 to 6.18) for patients≥80, compared with those ≤20.ConclusionsCharacteristics of patients and risk factors for in-hospital mortality highlight inequities of COVID-19 outcomes in Brazil. As the pandemic continues to unfold, targeted policies that address those inequities are needed to mitigate the unequal burden of COVID-19.


BMJ Open ◽  
2018 ◽  
Vol 8 (8) ◽  
pp. e023302 ◽  
Author(s):  
Hsiu-Feng Wu ◽  
Li-Ting Kao ◽  
Jui-Hu Shih ◽  
Hui-Han Kao ◽  
Yu-Ching Chou ◽  
...  

ObjectivesMany researchers have expected pioglitazone to serve as an effective neuroprotective agent against Parkinson’s disease (PD). Therefore, we conducted this cohort study to investigate the association between pioglitazone use and PD by using a large Asian population-based dataset in Taiwan.DesignRetrospective cohort study.SettingTaiwan.Participants7906 patients with diabetes who had received pioglitazone were defined as the study cohort, and 7906 matched patients with diabetes who had not received pioglitazone were defined as the comparison cohort.Primary and secondary outcome measuresWe tracked each patient individually over a 5-year follow-up period to identify those diagnosed as having PD during this period. We performed Cox proportional hazard regression analyses to evaluate the HRs for PD between the study and comparison cohorts.ResultsThe findings indicated that among the sampled patients, PD occurred in 257 (1.63%): 119 (1.51%) pioglitazone users and 138 (1.75%) non-users. The adjusted HR for PD within the follow-up period was 0.90 (95% CI: 0.68 to 1.18) in the patients who had received pioglitazone compared with the matched patients who had not received pioglitazone. Moreover, this study revealed that pioglitazone use was not associated with PD incidence in men (HR: 1.06, 95% CI: 0.71 to 1.59) or women (HR: 0.84, 95% CI: 0.61 to 1.15).ConclusionsThis study did not find the relationship between pioglitazone use and PD incidence, regardless of sex, among an Asian population of patients with diabetes.


2015 ◽  
Vol 22 (3) ◽  
pp. 211-215 ◽  
Author(s):  
Sara E Heins ◽  
Dorianne R Feldman ◽  
David Bodycombe ◽  
Stephen T Wegener ◽  
Renan C Castillo

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Joanna L. Moore ◽  
Stephanie J. Stroever ◽  
Patricia E. Rondain ◽  
Robyn N. Scatena

Introduction: immunological disorder agent’s area unit theorized to focus on the protein storm syndrome in COVID‑19. However, the downstream effects concerning susceptibilities to secondary infection risk stay unknown. This study seeks to work out risk variations for secondary infections among COVID‑19 patients World Health Organization did and failed to receive tocilizumab. Methods: we have a tendency to conducted a matched retrospective cohort study from 2 giants, acute care hospitals in Western Connecticut from March 1 to May 31, 2020. we have a tendency to collected variables exploitation manual case history abstraction. the first exposure variable was any dose of tocilizumab. the first outcome was any healthcare‑associated microorganism or mycosis as outlined by the National Care Safety Network. we have a tendency to performed a Kaplan–Meier analysis to assess the crude distinction within the additive likelihood of healthcare‑associated infection (HAI) across exposure teams. we have a tendency to conjointly performed a multivariable Cox multivariate analysis to work out the hazard quantitative relation for HAI by exposure group whereas dominant for potential confounders. Results: The Kaplan–Meier analysis incontestable no distinction within the additive likelihood of HAI across teams. The adjusted hazard of HAI for patients given tocilizumab was zero.85 times that of patients not given tocilizumab (95% confidence interval = zero.29, 2.52, P = 0.780) once dominant for relevant confounders. Conclusions: Tocilizumab failed to increase the incidence of secondary infection among COVID‑19 patients. Larger, irregular trials ought to valuate infection as a secondary outcome to validate this finding.


Author(s):  
Anna Condella ◽  
Jeremy B. Richards ◽  
Michael A. Frakes ◽  
Christian J. Grant ◽  
Jason E. Cohen ◽  
...  

Abstract Background: Extracorporeal membrane oxygenation (ECMO) has accelerated rapidly for patients in severe cardiac or respiratory failure. As a result, ECMO networks are being developed across the world using a “hub and spoke” model. Current guidelines call for all patients transported on ECMO to be accompanied by a physician during transport. However, as ECMO centers and networks grow, the increasing number of transports will be limited by this mandate. Objectives: The aim of this study was to compare rates of adverse events occurring during transport of ECMO patients with and without an additional clinician, defined as a physician, nurse practitioner (NP), or physician assistant (PA). Methods: This is a retrospective cohort study of all adults transported while cannulated on ECMO from 2011-2018 via ground and air between 21 hospitals in the northeastern United States, comparing transports with and without additional clinicians. The primary outcome was the rate of major adverse events, and the secondary outcome was minor adverse events. Results: Over the seven-year study period, 93 patients on ECMO were transported. Twenty-three transports (24.7%) were accompanied by a physician or other additional clinician. Major adverse events occurred in 21.5% of all transports. There was no difference in the total rate of major adverse events between accompanied and unaccompanied transports (P = .91). Multivariate analysis did not demonstrate any parameter as being predictive of major adverse events. Conclusions: In a retrospective cohort study of transports of ECMO patients, there was no association between the overall rate of major adverse events in transport and the accompaniment of an additional clinician. No variables were associated with major adverse events in either cohort.


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