Prognostic impact of polypharmacy by drug essentiality in patients on hemodialysis.
Ontology highlight
ABSTRACT:
SUBMITTER: Kitamura M
PROVIDER: S-EPMC8688458 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Colorectal cancer is characterized by high incidence worldwide. Despite increased awareness and early diagnosis thanks to screening programmes, mortality remains high, particularly for patients with metastatic involvement. Immune checkpoint inhibitors or poly (ADP-ribose) polymerase (PARP)-inhibitors have met with disappointing results when used in this setting, opposed to other malignancies. New drugs with different mechanisms of action are needed in this disease. Drug repurposing might offer new therapeutic options, as patients with metastatic colorectal cancer often share risk factors for other chronic diseases and thus frequently are on incidental therapy with these drugs. The aim of this review is to summarise the published results of the activity of drugs used to treat chronic medications in patients affected by colorectal cancer. We focused on antihypertensive drugs, Non-Steroid Anti-inflammatory Drugs (NSAIDs), metformin, antidepressants, statins and antibacterial antibiotics. Our review shows that there are promising results with beta blockers, statins and metformin, whereas data concerning antidepressants and antibacterial antibiotics seem to show a potentially harmful effect. It is hoped that further prospective trials that take into account the role of these drugs as anticancer medications are conducted.
| S-EPMC7598185 | biostudies-literature
Project description:Background:Polypharmacy is ubiquitous in patients on hemodialysis (HD), and increases risk of adverse events, medication interactions, nonadherence, and mortality. Appropriately applied deprescribing can potentially minimize polypharmacy risks. Existing guidelines are unsuitable for nephrology clinicians as they lack specific instructions on how to deprescribe and which safety parameters to monitor. Objective:To develop and validate deprescribing algorithms for nine medication classes to decrease polypharmacy in patients on HD. Design:Questionnaires and materials sent electronically. Participants:Nephrology practitioners across Canada (nephrologists, nurse practitioners, renal pharmacists). Methods:A literature search was performed to develop the initial algorithms via Lynn's method for development of content-valid clinical tools. Content and face validity of the algorithms was evaluated over three interview rounds using Lynn's method for determining content validity. Canadian nephrology clinicians each evaluated three algorithms (15 clinicians per round, 45 clinicians in total) by rating each algorithm component on a four-point Likert scale for relevance; face validity was rated on a five-point scale. After each round, content validity index of each component was calculated and revisions made based on feedback. If content validity was not achieved after three rounds, additional rounds were completed until content validity was achieved. Results:After three rounds of validation, six algorithms achieved content validity. After an additional round, the remaining three algorithms achieved content validity. The proportion of clinicians rating each face validity statement as "Agree" or "Strongly Agree" ranged from 84% to 95% (average of all five questions, across three rounds). Limitations:Algorithm development was guided by existing deprescribing protocols intended for the general population and the expert opinions of our study team, due to a lack of background literature on HD-specific deprescribing protocols. There is no universally accepted method for the validation of clinical decision-making tools. Conclusions:Nine medication-specific deprescribing algorithms for patients on HD were developed and validated by clinician review. Our algorithms are the first medication-specific, patient-centric deprescribing guidelines developed and validated for patients on HD.
| S-EPMC7605037 | biostudies-literature
Project description:Background Potential Drug-Drug Interactions (DDI) account for many emergency department visits. Polypharmacy, as well as herbal, over-the-counter (OTC) and combination medication may compound this, but these problems are not well researched in low-and-middle-income countries. Objective To compare the incidence of drug-drug interactions and polypharmacy in older and younger patients attending the Emergency Department (ED). Setting The adult ED of a tertiary teaching hospital in Trinidad. Methods A 4 month cross sectional study was conducted, comparing potential DDI in older and younger patients discharged from the ED, as defined using Micromedex 2.0. Main outcome measure The incidence and severity of DDI and polypharmacy (defined as the use of ≥5 drugs simultaneously) in older and younger patients attending the ED. Results 649 patients were included; 275 (42.3%) were ≥65 years and 381 (58.7%) were female. There were 814 DDIs, of which 6 (.7%) were contraindications and 148 (18.2%) were severe. Polypharmacy was identified in 244 (37.6%) patients. Older patients were more likely to have potential DDI (67.5 vs 48.9%) and polypharmacy (56 vs 24.1%). Herbal products, OTC and combination drugs were present in 8, 36.7 and 22.2% of patients, respectively. On multivariate analysis, polypharmacy and the presence of hypertension and ischaemic heart disease were associated with an increased risk of potential DDI. Conclusion Polypharmacy and potential drug-drug interactions are common in ED patients in the Caribbean. Older patients are particularly at risk, especially as they are more likely to be on multiple medications. The association between herbal medication and polypharmacy needs further investigation. This study indicates the need for a more robust system of drug reconciliation in the Caribbean.
| S-EPMC5686268 | biostudies-literature
Project description:To investigate factors contributing to drug side effects, we systematically examine relationships between 4,199 side effects associated with 996 drugs and their 647 human protein targets. We find that it is the number of essential targets, not the number of total targets, that determines the side effects of corresponding drugs. Furthermore, within the context of a three-dimensional interaction network with atomic-resolution interaction interfaces, we find that drugs causing more side effects are also characterized by high degree and betweenness of their targets and highly shared interaction interfaces on these targets. Our findings suggest that both essentiality and centrality of a drug target are key factors contributing to side effects and should be taken into consideration in rational drug design.
| S-EPMC3708859 | biostudies-literature
Project description:IntroductionDialysis patients are often prescribed a large number of medications to improve metabolic control and manage coexisting comorbidities. However, some studies suggest that a large number of medications could also detrimentally affect patients' health-related quality of life (HRQoL). Therefore, this study aims to provide insight in the association between the number of types of medications and HRQoL in dialysis patients.MethodsA multicentre cohort study was conducted among dialysis patients from Dutch dialysis centres 3 months after initiation of dialysis as part of the ongoing prospective DOMESTICO study. The number of types of medications, defined as the number of concomitantly prescribed types of drugs, was obtained from electronic patient records. Primary outcome was HRQoL measured with the Physical Component Summary (PCS) score and Mental Component Summary (MCS) score (range 0-100) of the Short Form 12. Secondary outcomes were number of symptoms (range 0-30) measured with the Dialysis Symptoms Index and self-rated health (range 0-100) measured with the EuroQol-5D-5L. Data were analysed using linear regression and adjusted for possible confounders, including comorbidity. Analyses for MCS and number of symptoms were performed after categorizing patients in tertiles according to their number of medications because assumptions of linearity were violated for these outcomes.ResultsA total of 162 patients were included. Mean age of patients was 58 ± 17 years, 35% were female, and 80% underwent haemodialysis. The mean number of medications was 12.2 ± 4.5. Mean PCS and MCS were 36.6 ± 10.2 and 46.8 ± 10.0, respectively. The mean number of symptoms was 12.3 ± 6.9 and the mean self-rated health 60.1 ± 20.6. In adjusted analyses, PCS was 0.6 point lower for each additional medication (95% confidence interval [95% CI]: -0.9 to -0.2; p = 0.002). MCS was 4.9 point lower (95% CI: -8.8 to -1.0; p = 0.01) and 1.0 point lower (95% CI: -5.1-3.1; p = 0.63) for the highest and middle tertiles of medications, respectively, than for the lowest tertile. Patients in the highest tertile of medications reported 4.1 more symptoms than in the lowest tertile (95% CI: 1.5-6.6; p = 0.002), but no significant difference in the number of symptoms was observed between the middle and lowest tertiles. Self-rated health was 1.5 point lower for each medication (95% CI: -2.2 to -0.7; p < 0.001).Discussion/conclusionAfter adjustment for comorbidity and other confounders, a higher number of medications were associated with a lower PCS, MCS, and self-rated health in dialysis patients and with more symptoms.
| S-EPMC8686702 | biostudies-literature
Project description:Abstract Background and Aim Polypharmacy and sarcopenia are increasing public health problems worldwide. However, data on the prevalence, association, and prognostic significance of polypharmacy and sarcopenia in patients with liver cirrhosis are limited. Methods Polypharmacy and sarcopenia were assessed in 239 patients with liver cirrhosis. Polypharmacy was defined as the daily use of six or more medications, and sarcopenia was diagnosed based on muscle strength and mass evaluated on computed tomography. The association between polypharmacy and sarcopenia and their effects on mortality were analyzed using logistic regression and Cox proportional hazards models. Results Among the 239 patients, 52% were men, the median age was 68 years, and the number of medications used per patient was 6. Further, 53% and 29% patients had polypharmacy and sarcopenia, respectively. The number of medications used and the prevalence of sarcopenia increased with age. Patients with polypharmacy and sarcopenia had similar characteristics, such as older age, increased medication use, advanced liver disease, and decreased muscle strength and mass. After adjusting for confounders, polypharmacy was significantly associated with sarcopenia (odds ratio, 2.11; 95% confidence interval [CI], 1.07–4.17). During the median follow‐up of 2.2 years, 62 (26%) patients died. Polypharmacy (hazard ratio [HR], 1.83; 95% CI, 1.01–3.37) and sarcopenia (HR, 2.00; 95% CI, 1.12–3.50) independently predicted mortality. The prognostic significance of polypharmacy was more prominent in older adults than in younger adults (HR, 2.31; 95% CI, 1.01–5.67). Conclusion Polypharmacy and sarcopenia are interrelated and associated with poor prognosis in patients with cirrhosis. Further large, prospective, population‐based studies are required to validate these findings. Polypharmacy and sarcopenia are increasing public health problems worldwide, but the prevalence, association, and prognostic significance of polypharmacy and sarcopenia in patients with liver cirrhosis remain unclear. Our data indicate that polypharmacy and sarcopenia are common, interconnected, and associated with mortality in patients with cirrhosis.
| S-EPMC10037035 | biostudies-literature
Project description:OBJECTIVES:Polypharmacy is common in hospitalized children in the United States and has been identified as a major risk factor for exposure to potential drug-drug interactions. Little is known about the characteristics and prevalence of exposure of pediatric patients to polypharmacy and potential drug-drug interactions in PICUs. DESIGN:Retrospective cohort study using the Pediatric Health Information System database. SETTING:Forty-two freestanding children's hospitals throughout the United States. PATIENTS:A total of 54,549 patients less than 18 years old cared for in PICUs in 2011. Patients in neonatal ICUs were not included. MEASUREMENTS AND MAIN RESULTS:PICU patients were on average exposed to 10 distinct drugs each hospital day and to 20 drugs cumulatively during their hospitalization. Seventy-five percent of patients were exposed to greater than or equal to one potential drug-drug interaction regardless of severity level, 6% to greater than or equal to one contraindicated potential drug-drug interaction, 69% to greater than or equal to one major potential drug-drug interaction, 57% to greater than or equal to one moderate potential drug-drug interaction, 19% to greater than or equal to one minor potential drug-drug interaction. Potential drug-drug interaction exposures were significantly associated with specific diagnoses (p < 0.001), presence of complex chronic conditions (p < 0.001), increasing number of total distinct drugs used (p < 0.001), increasing length of stay in PICU (p < 0.001), and white race (p < 0.001). CONCLUSIONS:Many PICU patients are exposed to substantial polypharmacy and potential drug-drug interactions. Future research should identify the risk of adverse drug events following specific potential drug-drug interaction exposures, especially the risk of adverse drug events due to multiple potential drug-drug interaction exposures, and determine the probability and magnitude of the actual harm (if any) for each specific potential drug-drug interaction, especially for multiple potential drug-drug interaction exposures.
| S-EPMC5243142 | biostudies-literature
Project description:Polypharmacy (PP) is a common problem in modern medicine, especially known to affect patients with chronic diseases such as multiple sclerosis (MS). With an increasing number of drugs taken, the risk of potential drug-drug interactions (pDDIs) is rising. This study aims to assess the prevalence and clinical relevance of polypharmacy and pDDIs in patients with MS. Pharmacological data of 627 patients with MS were entered into two drug-drug-interaction databases to determine the number and severity of pDDIs for each patient. The patients were divided into those with and without PP (total PP and prescription medication PP (Rx PP)). Of the 627 patients included, 53.3% and 38.6% had total PP and Rx PP, respectively. On average, every patient took 5.3 drugs. Of all patients, 63.8% had at least one pDDI with a mean of 4.6 pDDIs per patient. Less than 4% of all pDDIs were moderately severe or severe. Medication schedules should be checked for inappropriate medication and for possible interacting drugs to prevent pDDIs. Physicians as well as pharmacists should be more sensitive towards the relevance of pDDIs and know how they can be detected and avoided.
| S-EPMC8949310 | biostudies-literature
Project description:BACKGROUND: Bacterial respiratory tract infections, mainly caused by Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis are among the leading causes of global mortality and morbidity. Increased resistance of these pathogens to existing antibiotics necessitates the search for novel targets to develop potent antimicrobials. RESULT: Here, we report a proof of concept study for the reliable identification of potential drug targets in these human respiratory pathogens by combining high-density transposon mutagenesis, high-throughput sequencing, and integrative genomics. Approximately 20% of all genes in these three species were essential for growth and viability, including 128 essential and conserved genes, part of 47 metabolic pathways. By comparing these essential genes to the human genome, and a database of genes from commensal human gut microbiota, we identified and excluded potential drug targets in respiratory tract pathogens that will have off-target effects in the host, or disrupt the natural host microbiota. We propose 249 potential drug targets, 67 of which are targets for 75 FDA-approved antimicrobials and 35 other researched small molecule inhibitors. Two out of four selected novel targets were experimentally validated, proofing the concept. CONCLUSION: Here we have pioneered an attempt in systematically combining the power of high-density transposon mutagenesis, high-throughput sequencing, and integrative genomics to discover potential drug targets at genome-scale. By circumventing the time-consuming and expensive laboratory screens traditionally used to select potential drug targets, our approach provides an attractive alternative that could accelerate the much needed discovery of novel antimicrobials.
| S-EPMC4233050 | biostudies-literature
Project description:Population aging is a global phenomenon, and choosing appropriate medical care for the elderly is critical. Polypharmacy is suspected to increase the risk of adverse events (AEs) in older patients. We examined the AE profiles associated with polypharmacy and aging using the Japanese Adverse Drug Event Report (JADER) database. We attempted to mitigate the effect of patient-related factors using a multiple-logistic regression technique and data subsetting. We selected case reports for AEs as specified in the Medical Dictionary for Regulatory Activities (MedDRA). The association between polypharmacy and "renal disorder" or "hepatic disorder" was evaluated using reporting odds ratio (ROR) and adjusted for covariates using multiple-logistic regression. For renal disorder, advanced polypharmacy showed higher adjusted RORs, because the value of administered drugs group [1.82 (1.76-1.88), ? 10] was higher than that of the number of administered drugs group [1.27 (1.24-1.31), 5-9]. The lower limit of the 95% confidence interval (CI) of adjusted ROR for age (? 60 years) was > 1 for renal disorder. For hepatic disorder, the adjusted RORs were as follows: 1.17 (1.14-1.20) for the number of administered drugs group (5-9) and 1.14 (1.11-1.18) for the number of administered drugs group (? 10). The adjusted RORs of hepatic disorder compared to those of renal disorder had lower adjusted RORs related to the increase in the number of administered drugs. Therefore, elderly individuals should be closely monitored for the occurrence of renal disorder when they are subjected to polypharmacy. This approach might apply to the simultaneous evaluation of the AE risk of polypharmacy and aging.
| S-EPMC5739473 | biostudies-literature