Antibiogram of a tertiary care hospital in North East India

Introduction:

The hospital antibiogram is a periodical summarization of antibiotics susceptibility of local bacterial isolates. This is the first step in formulation of a hospital’s own antibiotic policy. This will enhance use of justified empirical antibiotics which in turn helps proper antibiotic usage. This has tremendous influence in making guidelines for a defined region. We are taking a period w.e.f. December’ 2017 to May’ 2018.

DECEMBER 2017- MAY 2018

SAMPLE SIZE = 606

RESPIRATORY TRACT INFECTIONS (RTI)- INDOOR ANTIBIOGRAM

HOSPITAL ACQUIRED

MICROBIOLOGY DATA (n=129)

2 cases each of Staphylococcus aureus.

COMMUNITY ACQUIRED

MICROBIOLOGY DATA (n= 44)

Also, Streptococcus pneumoniae = 2 casess, Burkholderia = 2 cases, E coli = 2 cases

RESPIRATORY TRACT INFECTIONS (RTI)- OUTDOOR ANTIBIOGRAM

COMMUNITY ACQUIRED

 MICROBIOLOGY DATA (n=18 )

Streptococcus pneumoniae = 2 cases, Moraxella (Branhamella) catarrhalis = 2 cases, E coli = 2 cases, Enterobacter cloaceae = 2 cases, Acinetobacter baumannii = 1 case.

URINARY TRACT INFECTIONS (UTI)- INDOOR ANTIBIOGRAM

HOSPITAL ACQUIRED

MICROBIOLOGY DATA (n=95 )

Proteus species = 2 cases, Staphylococcus aureus = 2 cases.

 URINARY TRACT INFECTIONS (UTI)- INDOOR ANTIBIOGRAM

COMMUNITY ACQUIRED

MICROBIOLOGY DATA (n=105 )

Staphylococcus aureus = 2 cases, Enetrobacter cloceae = 2 cases, Acinetobacter baumannii = 2 cases.

URINARY TRACT INFECTIONS (UTI)- OUTDOOR ANTIBIOGRAM

COMMUNITY ACQUIRED

MICROBIOLOGY DATA (n= 135)

Streptococcus agalactiae = 2 cases, Acinetobacter baumanni = 2 cases, Enterobacter spp = 2 cases.

OTHERS INCLUDING SKIN/ SOFT TISSUE INFECTIONS/FLUID

HOSPITAL ACQUIRED

 MICROBIOLOGY DATA (n=37 )

Proteus spp = 1 case, Enterococcus = 1 case

COMMUNITY ACQUIRED

 MICROBIOLOGY DATA (n=43 )

Enterococcus species = 2

Conclusion:

Bacteria’s shows varying degree of sensitivity in different part of world as well as in different area the commonest pathogen differs. In north east part of india we have a different types of commonest organisms and knowing our own local pathogen will greatly help in choosing empirical antibiotics in different infections and in different severity of illness which ultimately improve outcome.