Clinical Science Flashcards
Features of congenital rubella
Classical
- > Sensorineural deafness
- > Congenital cataracts
- > Congenital heart disease (e.g. PDA)
- > Glaucoma
Other
- > Growth retardation
- > Hepatosplenomegaly
- > Purpuric skin lesions
- > ‘Salt and pepper’ chorioretinitis
- > Microphthalmia
- > Cerebral palsy
Features of congenital toxoplasmosis
Classical
- > Cerebral calcification
- > Chorioretinitis
- > Hydrocephalus
Other
- > Anaemia
- > Hepatosplenomegaly
- > Cerebral palsy
Features of congenital cytomegalovirus
Most common congenital infection in UK. Mother asymptomatic.
Classical
- > Growth retardation
- > Purpuric skin lesions
Other
- > Sensorineural deafness
- > Encephalitis/seizures
- > Pneumonitis
- > Hepatosplenomegaly
- > Anaemia
- > Jaundice
- > Cerebral palsy
Definition of confidence interval
A range of values within which the true effect of intervention is likely to lie.
Eg. a confidence interval at the 95% confidence level means that the confidence interval should contain the true effect of intervention 95% of the time
How to calculate 95% confidence interval
Lower limit = Mean - (1.96 x SD)
Upper limit = Mean + (1.96 x SD)
- For 90% use 1.645 *
- If n<100, check Student T test critical value table instead on 1.96)
Definition of standard error of the mean (SEM)
Measure of the spread expected for the mean of the observations
Ie. how ‘accurate’ the calculated sample mean is from the true population mean
How to calculate SEM
SEM = Standard deviation/ Square root (sample size)
=> SEM gets smaller as sample size gets bigger
When to use Students T- test
Parametric data.
Paired -> Data observed from a single group eg. measurements before and after an intervention
Unpaired -> Data observed from 2 separate groups eg. comparing an intervention in 2 different groups.
When to use Pearson’s product-moment coefficient
Parametric correlated data
When to use Mann-Whitney U test
Non-parametric unpaired data.
When to use Wilcoxon signed rank test
Non parametric data. Compares 2 sets of observations on a single sample
When to use chi-squared test
Non parametric data. Used to compare percentages and proportions
When to use spearman, Kendal rank
Non-parametric correlated data
What is pre-test probability?
The proportion of people with the target disorder in the population at risk at a specific time (point prevalence) or time interval (period prevalence)
What is post-test probability?
The proportion of patients with that particular test result who have the target disorder
Post-test probability = post test odds / (1 + post-test odds)
What is the pre-test odds?
The odds that the patient has the target disorder before the test is carried out
Pre-test odds = pre-test probability / (1 - pre-test probability)
What is the post-test odds?
The odds that the patient has the target disorder after the test is carried out
Post-test odds = pre-test odds x likelihood ratio
where the likelihood ratio for a positive test result = sensitivity / (1 - specificity)
Flying recommendations: unstable angina, uncontrolled hypertension, severe valvular disease, uncontrolled arrhythmia, decompensated heart failure
Should not fly
Flying recommendations: uncomplicated MI
After 7-10 days
Flying recommendations: complicated MI
After 4-6 wks
Flying recommendations: coronary artery bypass
After 10-14 days
Flying recommendations: PCI
After 5 days
Flying recommendations: pneumonia
Should be clinically improving with no residual infection
Flying recommendations: pneumothorax
Absolute contraindication.
CAA -> 2 weeks for drainage with no residual air
BTS -> 6 wk post pneumothorax/1wk post check XR