Full bibliography
No evidence of difference in mortality with amoxicillin versus co-amoxiclav for hospital treatment of community-acquired pneumonia
- Wei, Jia (Author)
- Uppal, Aashna (Author)
- Nganjimi, Christy (Author)
- Warr, Hermione (Author)
- Ibrahim, Yasin (Author)
- Gu, Qingze (Author)
- Yuan, Hang (Author)
- Rahman, Najib M. (Author)
- Jones, Nicola (Author)
- Walker, A. Sarah (Author)
- Eyre, David W. (Author)
Most clinically treated cases do not have the causative pathogen identified
Summary
EHR data from a large UK teaching hospital where they compared Amoxicillin vs Co-Amoxiclav
7 Years worth of data 16 + 2016-2023
Used ICD diagnosis Codes to define Pneumonia (ICDJ13-18)
ICD codes only when patient admitted to hospital, excluded covid, linked micro and radiology data used to assess the performance of coding data
Used Antibiotics
-12 ->24 hours
Main exposure
Amoxicillin ant baseline vs Coamoxiclav
Other exposures
Binary exposure
Whether they received Clari/Azithro/ery or gent
Exclusion
No amox or co amoxicalv ,
A mixture of both
Other antibiotics eg QUinolones, Pip taz however was 4.05% of episodes as first line
Covariates
Age, Sex , Ethnicity, IMD percentline, Admission specialty and admission hour of the day, admission day of the week, calendar time, hospital admission in the year (binary), LOS in alst year, Charlson co-mobidity score, hopsital frailty risk score, recent UTI, immunsuppression, autoimmune diseases, admission vital signs (-24/+24), laboratory tests , CURB 65 , PSI PORt and smart COP
Frailty defined by codes rather than clinically
Statistical Methods
In observational/EHR studies multiple factors influence treatment choice, e.g. patient comorbidities or CAP severity, leading to treat ments given for more severe diseases potentially being associated with worse outcomes. Therefore, to estimate the effect of baseline amoxicillin vs. co-amoxiclav on 30-day all-cause mortality following CAP, we used two causal methods designed to account for this.
Provided all factors influencing treatment assignment are modelled, they can produce estimates of treatm ent effects comparable to es timates from experimental trials.
Compared this witha multivariable regression model, to emulate a target trial to provide a causal estimate of the effect of initiating antibiotics with coamoxiclac vs amoxillin
Propensity matching and Inverser Probability treatment weighting (If everyone received Amox vs If everyone received co amox)
Results
9685 admissions with pneumonia meeting critera. -> 61% Blood culture
3.1% were blood culture positive with a pneumonia associated organis,
<0.1% have mycoplasma detected
2/1113= legionella psoitive
BC
194 (2.0% strep pneumo) 98% susceptible to penicillin
40 Staph Aureus
K Pneumoniae 29 (0.3%)
Pseud 23 0.2%
H Influneza 10 (0.1%)
9038(93.3% ) had > 1 chet c ray
7082 evidence of pneumonia on xray
2841(29.3%), received amoxicillin, 57% oral , 664 IV and 546 oral and IV ; 5.0
Amoxicillin (55.3%) received baseline coamox 6.8 days
PH in gas more likely to get coamox and lactate,age, males, specialty and 11-15
No difference between mortality
26% of BC positive pneumonias would not have responded to amox