Response to warfarin and other oral anticoagulants: effects of disease states.
K Demirkan, MA Stephens, KP Newman… - Southern medical …, 2000 - europepmc.org
Background Warfarin is associated with numerous drug and food interactions, and much
attention has been appropriately focused on this subject. Because several disease states …
attention has been appropriately focused on this subject. Because several disease states …
Risk Factors for Late-Onset Nosocomial Pneumonia Caused by Stenotrophomonas maltophilia in Critically Ill Trauma Patients
SD Hanes, K Demirkan, E Tolley… - Clinical infectious …, 2002 - academic.oup.com
Patients with nosocomial pneumonia caused by Stenotrophomonas maltophilia often
receive inadequate empiric antibiotic therapy, potentially increasing mortality. Knowledge of …
receive inadequate empiric antibiotic therapy, potentially increasing mortality. Knowledge of …
Effect of a pharmacist-led program on improving outcomes in patients with type 2 diabetes mellitus from Northern Cyprus: a randomized controlled trial
EI Korcegez, M Sancar, K Demirkan - Journal of managed care & specialty …, 2017 - jmcp.org
BACKGROUND: The management of type 2 diabetes mellitus is complex, requiring
continuous medical care by health care professionals and considerable self-care efforts by …
continuous medical care by health care professionals and considerable self-care efforts by …
[HTML][HTML] Clinical nutrition and drug interactions
AB Ekincioğlu, K Demirkan - Turkish Journal of Surgery/Ulusal …, 2013 - ncbi.nlm.nih.gov
A drug's plasma level, pharmacological effects or side effects, elimination, physicochemical
properties or stability could be changed by interactions of drug-drug or drug-nutrition …
properties or stability could be changed by interactions of drug-drug or drug-nutrition …
[HTML][HTML] Turkish inappropriate medication use in the elderly (TIME) criteria to improve prescribing in older adults: TIME-to-STOP/TIME-to-START
Purpose To improve prescribing in older adults, criterion sets have been introduced from
different countries. While current criterion sets are useful to some extent, they do not meet …
different countries. While current criterion sets are useful to some extent, they do not meet …
[HTML][HTML] Knowledge and attitudes among hospital pharmacists about COVID-19
Objectives: Coronavirus (COVID-19) cases and deaths related to the virus have been
reported all over the world. Pharmacists play an important role in conveying accurate …
reported all over the world. Pharmacists play an important role in conveying accurate …
[HTML][HTML] Development and validation of machine learning-based clinical decision support tool for identifying malnutrition in NICU patients
Hospitalized newborns have an increased risk of malnutrition and, especially preterm
infants, often experience malnutrition-related extrauterine growth restriction (EUGR). The …
infants, often experience malnutrition-related extrauterine growth restriction (EUGR). The …
COVID-19 & antiepileptic drugs: Should we pay attention?
People with novel coronavirus disease (SARS-CoV2) may have hypoxia, multi-organ failure,
meningitis, encephalitis, and severe metabolic and electrolyte imbalance. Therefore, these …
meningitis, encephalitis, and severe metabolic and electrolyte imbalance. Therefore, these …
Beta-blockers after myocardial infarction: do benefits ever outweigh risks in asthma?
CC Chafin, JE Soberman, K Demirkan, T Self - Cardiology, 2000 - karger.com
Abstract β-Blockers are well documented to prolong life in patients after myocardial
infarction (MI), yet patients who also have asthma are frequently and understandably denied …
infarction (MI), yet patients who also have asthma are frequently and understandably denied …
[HTML][HTML] Development and validation of a machine learning-based detection system to improve precision screening for medication errors in the neonatal intensive care …
Aim: To develop models that predict the presence of medication errors (MEs)(prescription,
preparation, administration, and monitoring) using machine learning in NICU patients …
preparation, administration, and monitoring) using machine learning in NICU patients …