| Literature DB >> 30200891 |
Sandra Matinyi1, Muwanguzi Enoch1, Deborah Akia1, Valentine Byaruhanga1, Edson Masereka1, Isaac Ekeu1, Collins Atuheire2,3.
Abstract
BACKGROUND: Microbial contamination of hospital environment, especially in operating theatres (OT) and other specialized units has greatly contributed to continuous and multiple exposure to nosocomial infections by patients and the public. We purposed to assess microbial contamination of operating theatres and antibacterial sensitivity pattern of bacteria isolated from theatres of Mbale Regional Referral Hospital, Eastern Uganda.Entities:
Keywords: Antimicrobial pattern; Microbial pathogens; Operating theatre
Mesh:
Substances:
Year: 2018 PMID: 30200891 PMCID: PMC6131813 DOI: 10.1186/s12879-018-3374-4
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Sample locations
| Name of theatre | Square root of floor area | Locations |
|---|---|---|
| Obstetric surgery OT | 3 M × 4 M = √12 ≈ 3 | 3 |
| Ophthalmology OT | 4 M × 5 M = √20 ≈ 4 | 4 |
| Main OT general | 4 M × 5 M = √20 ≈ 4 | 4 |
| General private OT | 3 M × 4 M = √12 ≈ 3 | 3 |
| Total | 14 |
Total aerobic bacterial load of air from the different operating theatres of Mbale Regional Referral Hospital, Eastern Uganda
| Theatre | Mean cfu/dm2/h (sd) | F-test statistic | |
|---|---|---|---|
| Gynaecology | 261.3(131.3) | 1.05 | 0.38 |
| General-public | 69.5(78.7) | ||
| General-private | 58.9(56.1) | ||
| Ophthalmology | 43.5(40.3) |
Frequency of microbial organisms in the operating theatres of Mbale Regional Referral hospital, Eastern Uganda
| Organism | Frequency | Percent |
|---|---|---|
| 56 | 23.9 | |
| 41 | 17.5 | |
|
| 24 | 10.3 |
|
| 20 | 8.5 |
|
| 18 | 7.7 |
|
| 12 | 5.1 |
| 12 | 5.1 | |
|
| 4 | 1.7 |
|
| 2 | 0.9 |
|
| 2 | 0.9 |
| 1 | 0.4 | |
| 37 | 15.8 | |
| 4 | 1.7 | |
| 1 | 0.4 | |
| Total N (%) | 234 | 100 |
General distribution of microbial pathogens in the different operating theatres of Mbale Regional Hospital, Eastern Uganda
| Theatre | |||||
|---|---|---|---|---|---|
| Ophthalmology ( | Gynaecology ( | General-private ( | General-Public ( | ||
| Organism n (%) | |||||
| | 20 (35.7) | 16 (28) | 11 (19.6) | 9 (16.1) | |
| | 17 (41.5) | 12 (29.3) | 6 (14.6) | 6 (14.6) | |
| | 13 (54.2) | 4 (16.7) | 0 (0) | 7 (29.2) | |
| | 9 (45) | 4 (20) | 2 (10) | 5 (25) | |
| | 4 (22.2) | 8 (44.4) | 3 (16.7) | 3 (16.7) | |
| | 6 (50) | 2 (16.7) | 2 (16.7) | 2 (16.7) | |
| | 5 (41.7) | 5 (41.7) | 1 (8.3) | 1 (8.3) | |
| | 3 (75) | 0 (0) | 0 (0) | 1 (25) | |
| | 0 (0) | 0 (0) | 2 (100) | 0 (0) | |
| | 0 (0) | 0 (0) | 1 (50) | 1 (50) | |
| | 1 (100) | 0 (0) | 0 (0) | 0 (0) | |
| | 12 (32.4) | 8 (21.6) | 7 (18.9) | 10 (27) | |
| | 1 (25) | 2 (50) | 0 (0) | 1 (25) | |
| | 0 (0) | 1 (100) | 0 (0) | 0 (0) | |
| Total N (%) | 91 (36.8) | 63 (25.5) | 40 (16.2) | 53 (21.5) | 234 (100.0%) |
Distribution of common microbial pathogens over different surfaces in operating theatres of Mbale Regional Hospital, Eastern Uganda
| Surface | Organism n (%) | ||||
|---|---|---|---|---|---|
|
|
|
|
|
| |
| Sink | 3 (10.7) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) |
| Instrument trolley | 8a(28.6) | 1(11.1) | 1(11.1) | 0 (0.0) | 0 (0.0) |
| Sterilizing drum | 0(0.0) | 0(0.0) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Operating bed | 4(14.3) | 1(11.1) | 7(77.8) | 0 (0.0) | 1 (50.0) |
| Wall | 1(3.6) | 0(0.0) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Door handles | 1(3.6) | 1(11.1) | 0(0.0) | 2(100.0) | 1(50.0) |
| IV fluid stand | 2(7.1) | 2(22.2) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Oxygen mask | 1(3.6) | 0(0.0) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Scrubbing tank | 2(7.1) | 0(0.0) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Floor | 3(10.7) | 2(22.2) | 1(11.1) | 0 (0.0) | 0 (0.0) |
| window | 3(10.7) | 2(22.2) | 0(0.0) | 0 (0.0) | 0 (0.0) |
| Total | |||||
a3 isolates are Pseudomonas aeruginosa
Distribution of microbial pathogens in the air and on surfaces in the operating theatres of Mbale Regional Referral Hospital, Eastern Uganda
| Medium | |||
|---|---|---|---|
| Air (settle plate) [ | Surface (Swab) [ | ||
| Organism n (%) | |||
| | 27 (48.2) | 29 (51.8) | 0.94 |
| | 32 (78.0) | 9 (22.0) | 0.15 |
| | 23 (95.8) | 1 (4.2) | 0.02 |
| | 6 (30.0) | 14 (70.0) | 0.30 |
| | 16 (88.9) | 2 (1.1) | 0.02 |
| | 3 (25.0) | 9 (75.0) | 0.19 |
| | 11 (91.7) | 1 (8.3) | 0.03 |
| | 1 (25.0) | 3 (75.0) | 0.19 |
| | 0 (0.0) | 2 (100) | 0.01 |
| | 2 (100) | 0 (0.0) | 0.01 |
| | 0 (0.0) | 1 (100) | 0.01 |
| | 37 (100) | 0 (0.0) | 0.01 |
| | 4 (100) | 0 (0.0) | 0.01 |
| | 1 (100) | 0 (0.0) | 0.01 |
anumber of isolates
Fig. 1Resistance pattern of microbial pathogens in operating theatres of Mbale Regional Referral Hospital, Eastern Uganda
Fig. 2Susceptibility pattern of microbial pathogens in operating theatres of Mbale Regional Referral Hospital, Eastern Uganda