Value of Pharmacogenetic Testing Assessed with Real-World Drug Utilization and Genotype Data.

Implementation of pharmacogenetic testing in clinical care has been slow and with few exceptions is hindered by the lack of real-world evidence on how to best target testing. In this retrospective register-based study, we analyzed a nationwide cohort of 1,425,000 patients discharged from internal medicine or surgical wards and a cohort of 2,178 university hospital patients for purchases and prescriptions of pharmacogenetically actionable drugs. Pharmacogenetic variants were obtained from whole genome genotype data for a subset (n = 930) of the university hospital patients. We investigated factors associated with receiving pharmacogenetically actionable drugs and developed a literature-based cost-benefit model for pre-emptive pharmacogenetic panel testing. In a 2-year follow-up, 60.4% of the patients in the nationwide cohort purchased at least one pharmacogenetically actionable drug, most commonly ibuprofen (25.0%) and codeine (19.4%). Of the genotyped subset, 98.8% carried at least one actionable pharmacogenetic genotype and 23.3% had at least one actionable gene-drug pair. Patients suffering from musculoskeletal or cardiovascular diseases were more prone to receive pharmacogenetically actionable drugs during inpatient episode. The cost-benefit model included frequently dispensed drugs in the university hospital cohort, comprising ondansetron (19.4%), simvastatin (7.4%), clopidogrel (5.0%), warfarin (5.1%), (es)citalopram (5.3%), and azathioprine (0.5%). For untargeted pre-emptive pharmacogenetic testing of all university hospital patients, the model indicated saving €17.49 in direct healthcare system costs per patient in 2 years without accounting for the cost of the test itself. Therefore, it might be reasonable to target pre-emptive pharmacogenetic testing to patient groups most likely to receive pharmacogenetically actionable drugs.

Association of Central Nervous System-Affecting Medications With Occurrence and Short-Term Mortality of Traumatic Brain Injury.

BACKGROUND AND OBJECTIVES: The use of medications commonly prescribed after traumatic brain injury (TBI) has been little studied before TBI. This study examined the association between the use of medications that affect the central nervous system (CNS) and the occurrence and short-term mortality of TBI. METHODS: Mandatory Finnish registries were used to identify TBI admissions, fatal TBIs, and drug purchases during 2005-2018. Patients with TBI were 1:1 matched to nontrauma control patients to investigate the association between medications and the occurrence of TBI and 30-day mortality after TBI. Number needed to harm (NNH) was calculated for all medications. RESULTS: The cohort included 59 606 patients with TBI and a similar number of control patients. CNS-affecting drugs were more common in patients with TBI than in controls [odds ratio = 2.07 (2.02-2.13), P < .001)]. Benzodiazepines were the most common type of medications in patients with TBI (17%) and in controls (11%). The lowest NNH for the occurrence of TBI was associated with benzodiazepines (15.4), selective serotonin uptake inhibitors (18.5), and second-generation antipsychotics (25.8). Eight percent of the patients with TBI died within 30 days. The highest hazard ratios (HR) and lowest NNHs associated with short-term mortality were observed with strong opioids [HR = 1.41 (1.26-1.59), NNH = 33.1], second-generation antipsychotics [HR = 1.36 (1.23-1.50), NNH = 37.1], and atypical antidepressants [HR = 1.17 (1.04-1.31), NNH = 77.7]. CONCLUSION: Thirty-seven percent of patients with TBI used at least 1 CNS-affecting drug. This proportion was significantly higher than in the control population (24%). The highest risk and lowest NNH for short-term mortality were observed with strong opioids, second-generation antipsychotics, and atypical antidepressants. The current risks underscore the importance of weighing the benefits and risks before prescribing CNS-affecting drugs in patients at risk of head injury.

Causes of fatal traumatic brain injury in Finland.

OBJECTIVE: The phenotype of patients who suffer fatal traumatic brain injury (TBI) is poorly characterized. The authors examined the external causes, contributing diseases, and preinjury medication in adult patients with fatal TBI in a nationwide Finnish cohort. METHODS: Deaths caused by TBIs in Finland were examined among decedents aged ≥ 16 years during 2005-2020 from the national Cause of Death Registry. Usage of prescription medications prior to TBI was studied using medication purchase data from the Social Insurance Institution of Finland. RESULTS: The cohort consisted of 71,488,347 person-years, 821,259 total deaths, and 14,630 TBI-related deaths during 2005-2020, of which 67% (n = 9792) occurred in men. Women were older than men among those who suffered TBI-related death (mean age 77.2 ± 17.1 vs 64.5 ± 19.5 years, p < 0.0001). The overall crude incidence rate of fatal TBIs was 20.5/100,000 person-years (28.1/100,000 in men and 13.2/100,000 in women). TBI was the cause of death in 1.8% of all deaths in the Finnish population during the study years, but in patients aged 16-19 years, TBIs caused more than 17% of all deaths. The most common external cause of fatal TBI was a fall (70%), followed by poisoning or toxic effects (20%) and violence or self-harm (15%) overall. In men, the order of the most common causes of fatal TBI was similar to overall results (64%, 25%, and 19%, respectively), while in women, the most common cause was a fall (82%), followed by complications in healthcare (10%) and poisoning or toxic effects (9%). Cardiovascular diseases, psychiatric diseases, and infections were the most common diseases contributing to death. Blood pressure (lowering) medications were the most common type of medications used before fatal TBI. CNS medications were the second most common medication group. In the context of fatal TBI in Europe, Finland remains at the upper end of fatal TBI incidence. CONCLUSIONS: TBI is a common cause of death in young adults, whereas the incidence of fatal TBI becomes increasingly higher with age in Finland. Cardiovascular diseases and psychiatric conditions were the most common diseases related to death, with opposite age trends. Healthcare facility complications were an alarmingly common cause of death in women with fatal TBI.

Analgesic Plasma Concentrations of Oxycodone After Surgery for Breast Cancer-Which Factors Matter?

We investigated factors affecting analgesic oxycodone concentrations after breast cancer surgery in 1,000 women. Preoperatively, we studied heat and cold pain sensitivities and anxiety scores. Postoperatively, rest and motion pain intensities were measured and intravenous oxycodone was administered until satisfactory analgesia. At this point, the mean oxycodone concentration (variation coefficient) was 33.3 ng/mL (66%) and it was 21.7 ng/mL (69%) when the patient requested oxycodone again. At both time points, the concentrations varied >100-fold between individuals. The analgesic oxycodone concentration was increased by 21.3% per motion pain intensity score on a 0-10 scale and by 22.3% if axillary clearance was performed instead of sentinel node biopsy (P < 0.001). Forty-seven women who were older and less anxious than others (P < 0.01) required no oxycodone. Anxiety, age, chronic pain, or preoperative pain sensitivity were not independently associated with the analgesic oxycodone concentration. CYP2D6 and CYP3A genotypes did not affect analgesic concentration or duration of analgesia.

Effect of endocannabinoid degradation on pain: role of FAAH polymorphisms in experimental and postoperative pain in women treated for breast cancer.

Fatty acid amide hydrolase (FAAH) metabolizes the endocannabinoid anandamide, which has an important role in nociception. We investigated the role of common FAAH single-nucleotide polymorphisms (SNPs) in experimentally induced and postoperative pain. One thousand women undergoing surgery for breast cancer participated in the study. They were tested for cold (n = 900) and heat pain (n = 1000) sensitivity. After surgery, their pain intensities and analgesic consumption were carefully registered. FAAH genotyping was performed using MassARRAY platform and genome-wide chip (n = 926). Association between 8 FAAH SNPs and 9 pain phenotypes was analyzed using linear regression models. The results showed that carrying 2 copies of a missense variant converting proline at position 129 to threonine (rs324420) resulted in significantly lower cold pain sensitivity and less need for postoperative analgesia. More specifically, rs324420 and another highly correlated SNP, rs1571138, associated significantly with cold pain intensity (corrected P value, 0.0014; recessive model). Patients homozygous for the minor allele (AA genotype) were less sensitive to cold pain (ß = -1.48; 95% CI, -2.14 to -0.8). Two other SNPs (rs3766246 and rs4660928) showed nominal association with cold pain, and SNPs rs4141964, rs3766246, rs324420, and rs1571138 nominal association with oxycodone consumption. In conclusion, FAAH gene variation was shown to associate with cold pain sensitivity with P129T/rs324420 being the most likely causal variant as it is known to reduce the FAAH enzyme activity. The same variant showed nominal association with postoperative oxycodone consumption. Our conclusions are, however, limited by the lack of replication and the results should be replicated in an independent cohort.

How much oxycodone is needed for adequate analgesia after breast cancer surgery: effect of the OPRM1 118A>G polymorphism.

UNLABELLED: Most clinically used opioids are mu-opioid receptor agonists. Therefore, genetic variation of the OPRM1 gene that encodes the mu-opioid receptor is of great interest for understanding pain management. A polymorphism 118A>G (rs1799971) within the OPRM1 gene results in a missense mutation and affects the function of the receptor. We studied the association between the 118A>G polymorphism and oxycodone analgesia and pain sensitivity in 1,000 women undergoing breast cancer surgery. Preoperatively, experimental cold and heat pain sensitivities were tested. Postoperative pain was assessed at rest and during motion. Intravenous oxycodone analgesia was titrated first by a research nurse and on the ward using a patient-controlled analgesia device. The primary endpoint was the amount of oxycodone needed for the first state of adequate analgesia. For each patient, the 118A>G polymorphism was genotyped using the Sequenom MassARRAY (Sequenom, San Diego, CA). The association between this variant and the pain phenotypes was tested using linear regression. The 118A>G variant was associated significantly with the amount of oxycodone requested for adequate analgesia (P = .003, ß = .016). Collectively, oxycodone consumption was highest in individuals having the GG genotype (.16 mg/kg), lowest for those with the AA genotype (.12 mg/kg), and moderate for those having the AG genotype (.13 mg/kg). Furthermore, the G allele was associated with higher postoperative baseline pain ratings (P = .001, ß = .44). No evidence of association with other pain phenotypes examined was observed. PERSPECTIVE: This study demonstrates that the OPRM1 118A>G polymorphism was associated with the amount of oxycodone required in the immediate postoperative period. Although a significant factor for determining oxycodone requirement, the 118A>G polymorphism alone explained less than 1% of the variance. No association was found between 118A>G and experimental pain