f Navigating Drug-Drug Interactions in Multimorbid Patients: Utilizing Tools, Guidelines, and Clinical Implications

References

1. SkouS.T. MairF.S. FortinM. Multimorbidity.Nat. Rev. Dis. Primers2022814810.1038/s41572‑022‑00376‑4 35835758
   [Google Scholar]
2. RezaeeH. PourkarimF. Pourtaghi-AnvarianS. Entezari-MalekiT. Asvadi-KermaniT. Nouri-VaskehM. Drug‐drug interactions with candidate medications used for COVID‐19 treatment: An overview.Pharmacol. Res. Perspect.202191e0070510.1002/prp2.705 33421347
   [Google Scholar]
3. TurnerR.M. de KoningE.M. FontanaV. ThompsonA. PirmohamedM. Multimorbidity, polypharmacy, and drug-drug-gene interactions following a non-ST elevation acute coronary syndrome: Analysis of a multicentre observational study.BMC Med.202018136710.1186/s12916‑020‑01827‑z 33234119
   [Google Scholar]
4. MaherD. AilabouniN. MangoniA.A. WieseM.D. ReeveE. Alterations in drug disposition in older adults: A focus on geriatric syndromes.Expert Opin. Drug Metab. Toxicol.2021171415210.1080/17425255.2021.1839413 33078628
   [Google Scholar]
5. RoblekT. VaupoticT. MrharA. LainscakM. Drug-drug interaction software in clinical practice: A systematic review.Eur. J. Clin. Pharmacol.201571213114210.1007/s00228‑014‑1786‑7 25529225
   [Google Scholar]
6. HarrisJ.B. HolmesA.P. EilandL.S. The influence of the food and drug administration pregnancy and lactation labeling rule on drug information resources.Ann. Pharmacother.202155445946510.1177/1060028020956658 32885981
   [Google Scholar]
7. SahooA. DarG.M. A comprehensive review on the application of artificial intelligence in drug discovery.Appl Biol Chem J202122344810.52679/tabcj.2021.0007
   [Google Scholar]
8. PinkohR. RodsiriR. WainipitapongS. Retrospective cohort observation on psychotropic drug-drug interaction and identification utility from 3 databases: Drugs.com®, Lexicomp®, and Epocrates®.PLoS One2023186e028757510.1371/journal.pone.0287575 37347788
   [Google Scholar]
9. TilekarG.B. PatilV. A study on clinical decision tools: Optimizing clinical outcomes with decision support tools.Indian J. Appl. Res.2023121
   [Google Scholar]
10. HryciwB.N. FortinZ. GhosseinJ. KyeremantengK. Doctor-patient interactions in the age of AI: Navigating innovation and expertise.Front. Med.202310124150810.3389/fmed.2023.1241508 37711734
    [Google Scholar]
11. GirardeauY. TrivinC. DurieuxP. Detection of drug–drug interactions inducing acute kidney injury by electronic health records mining.Drug Saf.201538979980910.1007/s40264‑015‑0311‑y 26093687
    [Google Scholar]
12. HoppeJ.A. LedbetterC. TolleH. HeardK. Implementation of electronic health record integration and clinical decision support to improve emergency department prescription drug monitoring program use.Ann. Emerg. Med.202483131310.1016/j.annemergmed.2023.07.002 37632496
    [Google Scholar]
13. SongZ. HuY. ZhengS. YangL. ZhaoR. Hospital pharmacists’ pharmaceutical care for hospitalized patients with COVID-19: Recommendations and guidance from clinical experience.Res. Social Adm. Pharm.20211712027203110.1016/j.sapharm.2020.03.027 32273253
    [Google Scholar]
14. HughesL.D. McMurdoM.E.T. GuthrieB. Guidelines for people not for diseases: The challenges of applying UK clinical guidelines to people with multimorbidity.Age Ageing2013421626910.1093/ageing/afs100 22910303
    [Google Scholar]
15. PayneT.H. HinesL.E. ChanR.C. Recommendations to improve the usability of drug-drug interaction clinical decision support alerts.J. Am. Med. Inform. Assoc.20152261243125010.1093/jamia/ocv011 25829460
    [Google Scholar]
16. MuthC. BlomJ. SmithS. JohnellK. Gonzalez‐GonzalezA.I. NguyenT.S. Evidence supporting the best clinical management of patients with multimorbidity and polypharmacy: A systematic guideline review and expert consensus.Wiley Online Library2019272288
    [Google Scholar]
17. AndersonR.J. BlochS. ArmstrongM. StoneP.C. LowJ.T.S. Communication between healthcare professionals and relatives of patients approaching the end-of-life: A systematic review of qualitative evidence.Palliat. Med.201933892694110.1177/0269216319852007 31184529
    [Google Scholar]
18. SelvarajC. ChandraI. SinghS.K. Artificial intelligence and machine learning approaches for drug design: Challenges and opportunities for the pharmaceutical industries.Mol. Divers.2021121 34686947
    [Google Scholar]