Association between chronic pain medications and the severity and mortality of COVID-19: Study protocol for a case-population study.
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ABSTRACT:
SUBMITTER: Serrano Afonso AA
PROVIDER: S-EPMC8322492 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature
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Association between chronic pain medications and the severity and mortality of COVID-19: Study protocol for a case-population study.
Serrano Afonso Andrés Ancor AA Pérez Hernández Concepción C Ochoa Mazarro Dolores D Román Martínez Manuel M Failde Martínez Inmaculada I Montes Pérez Antonio A López Pais Pablo P Cánovas Martínez Luz L Revuelta Rizo Miren M Padilla Del Rey María Luz ML Peiró Perió Ana A Aberasturi Fueyo Teresa T Margarit Ferrí César C Rojo Rodríguez Elena E Mendiola de la Osa Agustín A Muñoz Martinez Manuel José MJ Domínguez Bronchal María Jesús MJ Herrero Trujillano Manuel M Cid Calzada José J Fabregat-Cid Gustavo G Hernández-Cádiz María José MJ Mareque Ortega Manuel M Gómez-Caro Álvarez Palencia Leticia L Mayoral Rojals Víctor V
Medicine 20210701 30
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Project description:Exploring the relationship between nociplastic pain and the severity and impact of pelvic pain symptoms could lend insight into the heterogeneous symptom presentation and treatment response that complicates management of chronic pelvic pain. In this prospective cross-sectional study, we sought to evaluate relationships between degree of nociplastic pain, measured by the Fibromyalgia (FM) Survey Score, and multiple aspects of the chronic pelvic pain (CPP) experience, including severity, frequency, tenderness during pelvic myofascial exam, interference with daily life, and high-impact pain. The study included 303 women who presented to a tertiary referral clinic for chronic pelvic pain and endometriosis. Multiple measures of pelvic pain, including pain severity, frequency, interference, pelvic myofascial pain, and high-impact pain were examined in General Linear Models with FM Survey Score as the primary predictor of interest in models controlling for endometriosis, surgical history, use of opioids, body mass index, and patient age. Higher level of nociplastic pain was associated with greater pelvic pain severity, frequency, interference, and pelvic myofascial pain (all P < .05). For all models, degree of nociplastic pain was more strongly associated with pain outcomes than the presence of endometriosis, and use of opioids was the only stronger predictor of worse pain outcomes. The likelihood of high impact pain increased 7% for each additional point on the FM Survey Score. Degree of nociplastic pain was robustly associated with severity, frequency, and impact of pelvic pain, and was independent of the presence of endometriosis, history of surgical procedures for pelvic pain, age, and BMI. Trial registration: not applicable PERSPECTIVE: This article evaluates the impact of nociplastic pain on symptoms and functional status in chronic pelvic pain. These findings raise the possibility that a simple screening tool for nociplastic pain might provide clinically actionable information without the need for deep neurobiological phenotyping and may inform development of personalized management strategies.
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Project description:BackgroundWhether chronic inflammation increases prostate cancer risk remains unclear. This study investigated whether chronic inflammatory diseases (CID) or anti-inflammatory medication use (AIM) were associated with prostate cancer risk.MethodsFifty-five thousand nine hundred thirty-seven cases (all prostate cancer, 2007-2012) and 279,618 age-matched controls were selected from the Prostate Cancer Database Sweden. CIDs and AIMs was determined from national patient and drug registers. Associations were investigated using conditional logistic regression, including for disease/drug subtypes and exposure length/dose.ResultsMen with a history of any CID had slightly increased risk of any prostate cancer diagnosis (OR: 1.08; 95%CI: 1.04-1.12) but not 'unfavourable' (high-risk or advanced) prostate cancer. Generally, risk of prostate cancer was highest for shorter exposure times. However, a positive association was observed for asthma > 5 years before prostate cancer diagnosis (OR: 1.21; 95%CI: 1.05-1.40). Risk of prostate cancer was increased with prior use of any AIMs (OR: 1.26; 95%CI: 1.24-1.29). A positive trend with increasing cumulative dose was only observed for inhaled glucocorticoids (p < 0.011).ConclusionDetection bias most likely explains the elevated risk of prostate cancer with prior history of CIDs or use of AIMs, given the higher risk immediately after first CID event and lack of dose response. However, findings for length of time with asthma and dose of inhaled glucocorticoids suggest that asthma may increase risk of prostate cancer through other pathways.
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Project description:OBJECTIVES:The study aims to compare the risk of chronic kidney diseases (CKDs) between patients with schizophrenia using first and second-generation antipsychotics. SETTING:Datasets of 2000-2013 National Health Insurance in Taiwan were used. PARTICIPANTS:The National Health Insurance reimbursement claims data have been transferred to and managed by the National Health Research Institute in Taiwan since 1996. We used the Psychiatric Inpatient Medical Claims database, a subset of the National Health Insurance Research Database, comprising a cohort of patients hospitalised for psychiatric disorders between 2000 and 2013 (n=2 67 807). The database included patients with at least one psychiatric inpatient record and one discharge diagnosis of mental disorders coded by the International Classification of Diseases, Ninth Revision (ICD-9) codes 290-319. The age of patients at first admission was restricted to 18-65 years. PRIMARY OUTCOME:CKD (ICD-9 code 582, 583, 585, 586, 588) requiring hospitalisation or three outpatient visits. The diagnosis of CKD follows the criteria of 'Kidney Disease: Improving Global Outcomes' in Taiwan. CKD is defined as a kidney damage as albumin-to-creatinine ratio >30 mg/g in two of three spot urine specimens or glomerular filtration rate <60 mL/min/1.73 m2 for 3 months or more. RESULTS:We found that the risks for CKD were higher for those who used second-generation antipsychotics (SGAs) longer cumulatively than those who did not. Using non-users, patients did not have any SGA records, as reference group, the risks for CKD comparing those using SGAs for 90 to 180 days with non-users and those using SGAs for more than 1000 days were 1.42 (1.06-1.91) and 1.30 (1.13-1.51), respectively. CONCLUSIONS:The current study suggests the relationship between using SGAs and risk of CKD.
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Project description:BackgroundPatients with prescription opioid use disorder commonly report relief of chronic pain as the chief reason for first opioid use; indeed, the prevalence of chronic pain is high in this population. Understanding the association between pain severity and subsequent opioid use is crucial for understanding how to manage these conditions simultaneously and has not been examined in this population. The aim of this analysis was to examine the proximal effect of pain severity on opioid use during 12 weeks of buprenorphine-naloxone therapy for patients with chronic pain and prescription opioid use disorder.MethodsThis study is a secondary analysis of a national, randomized, controlled trial of buprenorphine-naloxone plus counseling for prescription opioid dependent patients. The association between past-week pain severity and opioid use in the subsequent week was examined in 148 patients presenting with chronic pain at baseline.ResultsResults from a multivariable logistic regression model showed that greater pain severity in a given week was significantly associated with increased odds of opioid use in the following week over the 12-week treatment, even after adjusting for covariates associated with opioid use (aOR=1.15, p<0.001).ConclusionsDespite previous reports of no association between baseline pain and subsequent opioid use, our findings suggest that patients who experience flare-ups of pain during treatment are prone to relapse to opioid use. Future studies may identify those who are at risk to use opioids by carefully monitoring patterns of their pain intensity over time.
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Project description:Coronavirus disease 2019 (COVID-19) is a severe disease caused by a new variant of beta-coronavirus that first appeared in China. Human genetic factors, including polymorphisms, serve pivotal roles in the high transmission of SARS-CoV-2 and the stubbornly progressing sickness seen in a small but significant percentage of infected people; however, but these factors remain ill-defined. A total of 288 COVID-19 patients and 288 controls were genotyped for TMPRSS2 polymorphisms using both restriction fragment length polymorphism polymerase chain reaction (RFLP-PCR) and amplification refractory mutation system (ARMS)-PCR techniques. Different genotypes of TMPRSS2 polymorphisms were compared in terms of disease susceptibility and mortality. The statistical analysis showed that minor alleles of all studied variants statistically increased the risk of COVID-19, except for the rs75603675 C > A variant. The T allele of rs12329760 conferred an increased risk of COVID-19. Moreover, the AG/AC/TT/AG combination of genotypes significantly enhanced the risk of COVID-19 in our population. Different haplotypes of rs17854725/rs75603675/rs12329760/rs4303795 polymorphisms, including GACA, GACG, GATG, GATA, AATA, ACCG, ACTG, ACTA, GCCA, and GCTG, were found to be associated with increased risk of the disease (odds ratio > 1). Regarding the clinical and paraclinical characteristics, a statistically significant difference was found between non-severe and severe forms except for gender, platelet, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and underlying diseases. In addition, case genotypes of TMPRSS2 rs17854725 A > G, rs12329760 C > T, and rs4303795 A > G were significantly different regarding severe and non-severe forms of the disease (P-value < 0.001). Specifically, death was more frequent in carriers of the AG genotype of rs17854725 A > G (P-value = 0.022). Patients who carry the minor alleles of the four studied TMPRSS2 variants were rather vulnerable to COVID-19 infection. Our findings indicated that rs17854725 A > G (AA vs. AG and AA vs. GG), rs12329760 C > T (CC vs. CT and CC vs. TT), and rs4303795 A > G (AA vs. AG) genotypes of TMPRSS2 variations are associated with a more invasive disorder pattern. More studies on larger populations are needed to confirm our results.
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Project description:AimsAntihypertensive drugs have been implicated in coronavirus disease 2019 (COVID-19) susceptibility and severity, but estimated associations may be susceptible to bias. We aimed to evaluate antihypertensive medications and COVID-19 diagnosis and mortality, accounting for healthcare-seeking behaviour.MethodsA population-based case-control study was conducted including 16 866 COVID-19 cases and 70 137 matched controls from the UK Clinical Practice Research Datalink. We evaluated all-cause mortality among COVID-19 cases. Exposures were angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), beta-blockers (B), calcium-channel blockers (C), thiazide diuretics (D) and other antihypertensive drugs (O). Analyses were adjusted for covariates and consultation frequency.ResultsACEIs were associated with lower odds of COVID-19 diagnosis (adjusted odds ratio [AOR] 0.82, 95% confidence interval [CI] 0.77-0.88) as were ARBs (AOR 0.87, 95% CI 0.80-0.95) with little attenuation from adjustment for consultation frequency. C and D were also associated with lower odds of COVID-19 diagnosis. Increased odds of COVID-19 for B (AOR 1.19, 95% CI 1.12-1.26) were attenuated after adjustment for consultation frequency (AOR 1.01, 95% CI 0.95-1.08). Patients treated with ACEIs or ARBs had similar odds of mortality (AOR 1.00, 95% CI 0.83-1.20) to patients treated with classes B, C, D or O or patients receiving no antihypertensive therapy (AOR 0.99, 95% CI 0.83-1.18).ConclusionsThere was no evidence that antihypertensive therapy is associated with increased risk of COVID-19 diagnosis or mortality; most classes of antihypertensive therapy showed negative associations with COVID-19 diagnosis.
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