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RME L2 Determine causation (Issues to consider (Etiology of chronic ds…
RME L2 Determine causation
Objectives for learning
Relating
Exposure: causes, RFs, independent variables to
Outcomes: effects, ds, injuries, disabilities, deaths, dependent variables
Statistical association vs Biological causation: cause-effect relationship
Basic Q. In Analytical Epidemiology
Are exposure & disease linked?
Kind
Infectious ds epidemiology
Injury epidemiology
Chronic ds epidemiology
Issues to consider
Etiology of chronic ds often hard to determine
Exposure (many exposures cause > 1 outcome)
Outcomes mayb due to multiple or continual exposure over time
Causes may differ by individual
Causation vs Association
:!:
:!: Epidemio
doesn’t determine the cause of ds
in a given individual
:!: Epidemio determine the
relationship or association
between Exposure & Freq of ds in populations
We
infer
causation based on Association & several other factors
Association
Identifiable
relationship
between Exposure & Ds
Implies
Exposure
might
cause ds
Risk factors = exposures assoc. with a difference in
ds risk
We often designed interventions based on associations
Causation
Implies
There’s a
true mechanism
that led fr Exposure -> Ds
เจอ Association doesn’t make it Causation
Guidelines for Judging whether an Association is Casual?
🏴
Bradford-Hill Casual Criteria
(9 ข้อ)
Suggestions for Assessing causality
:nine: ข้อ
Strength of association
Strong associations r more likely to be
casual
than weaker associations
The larger the RR or OR, the greater the likelihood that relationship is casual
Strong asso = High chance that those 2 are considerable causes of each other
:warning: ข้อโต้แย้ง Low assoc may be cause of ds
Measures of associations — quantify strength of association between Exposure & Outcome
eg. Relative risk (RR), Odds ratio (OR)
Consistency/ความมั่นคง
:warning: ขตย.: ขาด consistency -> still can’t say that its not cause of ds
(as it can caused fr many factors)
Specificity
Touch with สิ่งคุกคามชนิดนี้ จะป่วยเป็นโรคนี้เสมอ. (one-to-one relationship)
:warning:ขตย.: ไม่เหมาะมาใช้กะปจบ.
As we believe that Ds caused by many causes (1 cause may cause many ds)
Temporality
Necessity for the exposure to precede the outcome (effect) in time
= consider Time sequence association (การเรียงลำดับเวลาของค.สัมพันธ์) —เหตุต้องมาก่อนผลเสมอ ไม่ว่าโรคนั้นจะมีระยะเวลาก่อโรคสั้นหรือยาวนานเท่าใด
Biological gradient
Dose-Response relationship (Biological gradient)
:relationship between Dose (amount of exposure) to a substance and results in changes in outcome (response)
:arrow_up:level of exposures -> :arrow_up:risk of outcome
Plausibility
Biological plausibility of hypothesized causal relationship between Exposure and outcome
พิจารณาความเป็นไปได้ทาง biology ว่าความรู้ในปจบ. Can explain mechanism of ds fr expose to threatened stuffs
Examples
Eg. Will smoking resulting in receiving some sort of carcinogen eg Benzo(a)pyrene via smoke then cause reaction with lung tissues so :arrow_up:chance of getting CA Lung
A high dose of caffeine could constrict a mother’s blood vss reducing the blood flow to the placenta
Coherence
พิจารณาความสอดคล้องของความสัมพันธ์
มุ่งให้พิจารณา ลักษณะของ relationที่พบ
not conflict
with Basic knowledge abt ds or nature of ds
Eg. smoking & CA Lung isn’t conflict with nature of founded disease
(as men smokes > female so CA Lung found more in men > female)
Experiment evidence
Are there any clinical studies supporting the association?
Some case try :arrow_down:exposure to threatened stuff & look for changes in disease rate
Eg. try advice abt :arrow_down:smoking in population then found that :arrow_down:CA lung rate
= support smoking causes CA lung
Analogy
พิจารณาการเปรียบเทียบอุปมา
Eg.eat Thalidomide may cause Fetal in womb abnormality
-> consider drugs’ effect to fetus — believe that other drugs can also be the cause of abnormality of fetus
Analogy = ดูแล้วมันคล้ายๆกับ factor อื่นๆ
Eg smoking cigarette cause CA Lung, so smokes ใบจาก cause CA Lung
Criteria ของการพิจารณาว่าอะไรนั้นเป็นเหตุเป็นผลกัน
General
models
of
Causation
“
Koch & Causation
”
Postulates (สมมติฐาน)
:stars: First ds to be discovered = Anthrax
Finding which
organisms
causes ds??
Koch’s postulate (1980)
Casual relationship between a Microbe & a Disease
Isolate & culture ได้
เอาเชื้อที่isolate then inject into animals then the said animals got ds
ตรวจพบเชื้อในสัตว์
พบเชื้อในทุกคนที่เกิดโรค
Limitations
Some organisms can’t be grown in pure culture
Uses humans in completing the postulate is Unethical
Molecular & genetic evidence may replace
Why study association?
Web of causation
Do we need a better way?
:check: suitable for
High infectious ds
Infectious only with Symptoms
:red_cross: not suitable for
Infectious ds
without
symptoms
Ds that has multiple causes
:star: :three:
models
Triangle
model :small_red_triangle:
Ds causes fr Imbalance of one of the three (host, agent, environmental)
Wheel
model :wheel_of_dharma:
Applied to
Phenylketonuria(PKU)
— archetypal genetic ds
Autosomal single gene ds
Lacks
an enzyme that required to metabolise the dietary amino a Phenylalanine & turn it into Tyrosine
Emphasizes
Unity
of gene & host within an interactive environmental envelope
(3 ปัจจัยสวล— Physical env, Social env, Chemical&Biological environment)
Spider web
model :spider_web:
For many disorders - we understand that causes are highly complex
Multifactorial / Polyfactorial disorders
Mechanism of causation r not apparent
Points that a Potential for ds to influence the causes & not just the other way around — reverse causality
In the middle is ds -> outward is direct causes -> outest circle is Environment that causes ds
The pyramids of association :small_red_triangle:
Casual & Mechanisms understood (เข้มแข็งสุด —ปลายแหลมpyramid)
Casual (free independent
eg. Eat salty can causes HT
Non-casual (no relation between 2 ตัว แต่รู้ว่ามันส่งเสริมคู่กัน) eg สุรา&เหล้า
Confounded
Spurious / Artefact
Chance
WHO
4 ปัจจัย 4 โรคใน NCDs
4 Factors: ยาสูบ, สุรา, อาหาร, ออกกำลังกาย
4 โรค: :<3:หลอดเลือด, cancer, chronic lung ds, DM
4 changes: HT, high blood sugar, Dyslipidemia, overweight
Level of Prevention
(4 levels)
Primordial
Prevention
— ไม่ให้ปชก.สัมผัสกับความเสี่ยง by Changing surrounding environment of ปชก*
Primary
Prevention
— not letting ppl sick by
เน้นมาตรการที่ทำกับปชก.เปนหลัก
Secondary
Prevention
— early detect of ds & prompt Rx
Tertiary
Prevention
— Prevention pt with ds from getting
complications (severe), or disability
— Rehab of disabilities pt