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Related Concept Videos

Pharmacodynamics in Geriatric Patients: Effects of Age01:27

Pharmacodynamics in Geriatric Patients: Effects of Age

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Age-related pharmacokinetic changes are extensively documented, but understanding age-related pharmacodynamic alterations is relatively limited. This knowledge gap can be partly attributed to the complexity of developing appropriate measures of drug responses compared to bioanalytical methods for determining drug concentrations.Most information regarding age-related differences in human pharmacodynamics originates from cross-sectional studies. However, these studies assume that observed mean...
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Factors Affecting Illness01:18

Factors Affecting Illness

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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
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Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution01:00

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Distribution

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Drug distribution in the human body is influenced by several factors, including plasma protein concentration, body composition, blood flow, tissue-protein concentration, and tissue fluid pH. Among these, changes in plasma protein concentration and body composition due to aging significantly affect how drugs are distributed within the body. Specifically, aging is associated with a decrease in albumin levels by about 10% and an increase in α1-acid glycoprotein levels. These alterations are...
228
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Metabolism

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Geriatric patients show significant variation in how their bodies process medications, which can change how effective and safe treatments are. The liver is the primary organ where drug metabolism occurs, involving two main types of chemical reactions: phase I and II. Phase I metabolism is driven by the cytochrome P450 enzyme system, which includes key types such as CYP3A, CYP2D6, and CYP2C9. Research indicates that while aging doesn't notably alter the levels or activity of these enzymes, it...
195
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption01:22

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Absorption

224
As individuals age, their body's physiology evolves, affecting drug pharmacokinetics. The most apparent changes occur in the gastrointestinal tract, where an increase in gastric pH, a delay in gastric emptying, and a reduction in gastrointestinal motility are observed. Remarkably, these changes do not substantially modify the absorption of orally administered drugs, particularly those absorbed via passive diffusion.Transdermal drug delivery emerges as a highly viable method for older adults due...
224
Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion01:18

Pharmacokinetics in Geriatric Patients: Effect of Age on Drug Excretion

233
In geriatric patients, renal physiology undergoes significant changes, including diminished renal blood flow and a lower glomerular filtration rate (GFR), leading to alterations in medication clearance. Drugs such as aminoglycoside antibiotics, lithium, and digoxin, which rely on glomerular filtration for removal from the body, particularly impact pharmacokinetics. These drugs tend to have slower clearance rates in older adults, necessitating careful dosage considerations.Evaluation of renal...
233

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Related Experiment Video

Updated: Jan 14, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
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Comorbidity Disease Pattern in Japanese Elderly Population: A Network-Based Analysis.

Shuko Nojiri1,2,3, Wataru Urasaki2,4, Masao Iwagami5

  • 1Medical Technology Innovation Center, Juntendo University, Tokyo, Japan.

Mayo Clinic Proceedings. Innovations, Quality & Outcomes
|October 24, 2025
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This study analyzed multimorbidity networks in elderly Japanese individuals, revealing key disease patterns and common comorbidities like circulatory and respiratory issues. Findings highlight age-related shifts and specific disease associations for improved diagnosis and treatment targets.

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Area of Science:

  • Gerontology
  • Public Health
  • Network Medicine

Background:

  • Multimorbidity is a growing concern in aging populations, particularly in Japan.
  • Understanding complex disease patterns in the elderly is crucial for effective healthcare strategies.
  • Previous research has not fully elucidated the network structures of chronic conditions in Japan's aging demographic.

Purpose of the Study:

  • To clarify disease patterns and multimorbidity networks in the elderly Japanese population.
  • To analyze common chronic conditions and their temporal occurrence.
  • To identify frequently co-occurring disease sequences for predicting disease progression.

Main Methods:

  • Population-based study utilizing administrative claim databases.
  • Analysis of medical records for 4,797,907 elderly patients in Japan (2020).
  • Temporal disease occurrence pattern analysis and network analysis to identify disease sequences.

Main Results:

  • Circulatory and respiratory diseases predominated in those aged 75+, while mental disorders were common across all ages.
  • Specific comorbidities identified: vestibular dysfunction/hearing loss in younger women; renal disease, psychiatric issues, and falls in older women.
  • Network analysis showed increasing multimorbidity complexity with age, with respiratory, circulatory, and digestive disease clusters being central.

Conclusions:

  • Atherosclerosis, angina pectoris, gastritis, and duodenitis were identified as key comorbidities in the elderly Japanese population.
  • Distinctive comorbidity profiles were identified using routine clinical data.
  • These findings offer insights for improving diagnosis and identifying treatment targets for elderly patients with multiple chronic conditions.