Phenotypic Profile and Antibiogram of Pathogens Isolated from Diabetic Patients Attending National Hospital in Abuja, Nigeria
Received Date: Apr 16, 2018 / Accepted Date: May 08, 2018 / Published Date: May 15, 2018
Diabetic patients are at increased risk of wound infection after minor or major surgery due to the role diabetes play in metabolic function by impairing inflammatory process leading to increased risk of infection and impaired wound healing. This study investigated the phenotypic profile and antibiogram of pathogens isolated from diabetic patients attending National Hospital in Abuja, Nigeria After approval from the Ethics and Research committee of National Hospital, Abuja. Wound swab sticks were carefully collected from consented 40 post-operative diabetic subjects and 40 post-operative non-diabetic subjects. These samples were analyzed using standard microbiological techniques for isolation, identification and the antibiograms of pathogens. Distribution of bacterial isolate in this study revealed that Staphylococcus spp (both coagulase positive and coagulase negative) are the most common pathogen from post-operative septic diabetic patients, 15 (37.5%); followed by Escherichia coli, 10 (25.0 %); Klebsialla spp and Pseudomonas aeruginosa has 6 (15.0%) each. However, Staphylococcus spp in septic non-diabetic wounds was 35.0%, followed by Escherichia coli and Proteus spp (27.5%) while Klebsiella spp, Streptococcus spp and Pseudomonas aeruginosa comprised of 16.3%, 3.7% and 2.5% respectively. The antibiotic susceptibility pattern of respective isolates showed Ceftriazone, Levofloxacin, Ofloxacin as more susceptible compared to Amoxicillin-Clavulanate and gentamycin. The pattern also suggests multidrug resistance in Staphylococcus aureus, Escherichia coli and Pseudomonas spp compared with no antibiotic resistance in isolates such as Proteus spp, Klebsiella spp and coagulase negative Staphylococcus (CoNS).
Conclusion: Findings from this study indicated that unprecedented bacterial infection is mostly supported by diabetes which may lead to delayed wound healing. It further revealed that more antibiotics resistance in septic diabetic subject than septic non-diabetics.
Keywords: Diabetic wound; Bacterial pathogen; Antibiotic resistance; Nigeria
Diabetic patients are at increased risk of wound infection after minor or major surgery due to the role diabetes play in metabolic function by impairing inflammatory process leading to increased risk of infection and impaired wound healing. Septic operation in tropical countries is seen to have contributed to high rate of mortality especially in diabetes and non-cardio logical critically ill patients, with as many as 20 million cases of sepsis and a mortality rate of around 35% reports worldwide annually .
Diabetes and surgery increases the risk of infection and impaired wound healing . Diabetes mellitus and invasive procedures (surgery) both play a significant role in alteration of host defense . Furthermore, post-operative infection associated with diabetes are the second most common healthcare associated problems resulting in prolonged hospitalization, higher cost of medical care with increase morbidity and mortality .
Type 2 diabetes is increasingly common, primarily due to an increase prevalence of sedentary lifestyle which has significantly lead to an observable increase in body mass index (BMI), and as a result considerable number of adult and children are obese . Diabetes promotes path physiology to infection by altering both the innate and adaptive immune system by suppression of innate and cellular immunity seems to be one of the principal underlying mechanisms for increased risk of infection .
Neutrophils are crucial phagocytes in the innate immune responses; these cells are recruited first to inflammatory site and are essential for illuminating . People with diabetes have a decrease neutrophil chemotaxis, phagocytosis and dihydroamine oxidation . It also plays a major role in the defense against bacterial infection, hence its dysfunction may expose patient to an increased risk of complication after invasive procedure . Complement system is an important part of the innate, humoral immune system and play a central role in opsonisation, anaphylatoxin. Activation of complement cascade helps to clear invading pathogens . Although, the immunological mechanism or role of neutrophils and complement down regulations ware not fully understood, there malfunction poised a life threatening consequences in treatment with which prolong hospitalization in post-operative septic diabetic and non-diabetics patient due to heavy infection and development of septic operation .
In view of these, the present study sought to investigate the phenotypic profile and antibiogram of pathogens isolated from diabetic patients attending National Hospital in Abuja, Nigeria.
Materials And Methods
Between 7th August, 2016-19th February, 2017, this case-control study was conducted on 40 post-operative septic diabetic and 40 post-operative septic non-diabetic patients as controls.
This study was conducted at National Hospital in Federal Capital Territory, Abuja, Nigeria. The hospital offers full complement of services to patients and also provides diagnostic services for proper management of patients with immunological disorders. Neutrophil phagocytic test and complement function tests were conducted at the hospital.
Informed consent and ethical approval
Participants enrolled into this study were tutored about the study and gave their written consent after meeting the inclusion criteria for the study. Patients’ biodata was obtained using structured questionnaire. Patients who didn’t undergo any form of surgery but with etiology similar to disease under investigation were not included in the study. Ethical approval was obtained from the Ethics and Research committee of the National Hospital, Abuja. Data generated were anonymously analyzed throughout the study.
Sample size calculation
The sample size for this study was determined using data from a prevalence studies conducted at Kano State, Nigeria with 9.0% prevalence rate of post-operative surgical site infections in patients as demonstrated by Aisha et al. . Thus, the minimum sample size required for this study was 70 using a 5% error margin and 95% confidence interval. However, statistical credence was given to this study by increasing the sample size to 80.
Sample collection and preparation
Wound swabs were carefully collected from various sites of the body of study participants. These samples were immediately sent to the microbiology laboratory of National hospital, Abuja for cultures, identification and antibiotics susceptibility tests.
Analytical laboratory procedures
Microscopy and Culture: Swabs were cultured on arrival at microbiology laboratory on chocolate agar, cysteine electrode deficient agar and Mc-Conkey agar and incubated anaerobically using anaerobic jar and aerobically at 37°C for 24 hours. A smear was made on a clean greased free slide for a primary Gram reaction.
Gram Staining Techniques: Smears of 15 by 15mm was made, air dried and heat fixed, smears were stained by flooding with crystal violet for 1 minute, rinsed with a gentle flow of water, flooded with lugos iodine for 1 minute, rinsed with gentle flows of water, briefly differentiated using acetone for 30 seconds and rinsed immediately, smear was again flooded with neutral red for 1 minute, rinsed and allow to air dry. The stained smear was examined using X100 oil immersion objective for possible Gram positive and Gram-negative organisms.
Plate Reading and bacterial identification: Isolates were morphologically identified based on size, elevation, and colour changes due to fermentation of lactose on Mac-Conkey and CLED agar while hemolysis was observed on chocolate. Bacterial biochemical tests conducted included catalase, coagulase, triple sugar iron, urea, citrate and indole. The tests results were compared with bacterial identification provided by the U.S. Clinical and Laboratory Standard Institute guideline .
Antibiogram: Antibiotic susceptibility of pure culture of confirmed isolate was performed on diagnostic sensitivity test agar (Mueller Hinton agar) by the Kirby Bauer disc diffusion method, using the appropriate Gram positive and Gram negative discs. Isolates were considered sensitive after incubation for 24 hours at 37°C by measuring zone of inhibition with meter rule which was then compared with zone diameter interpretative to National committee for clinical Laboratory standard (CLSI chart) for different organisms and different antibiotics . To guarantee precision and reliability of antibiogram data, quality control strains of Staplylococcus aureus ATCC 25923, Escherichia coli ATCC 25922, and Pseudomonas aeruginosa ATCC 27853 supplied by department of Pharmaceutics, Obafemi Awolowo University, Ile-Ife, Nigeria were used.
Statistical analysis: Data were analyzed using statistical package for social sciences (SPSS) version 21.0. Discrete variables were expressed as percentages and proportions were compared using the Chi-square test. Statistical significant difference was considered at value of P<0.05.
The distribution of bacterial infection in relation to surgical intervention reveals that 46.3% of the subject had orthopedic surgery, while 5.0% had diabetic foot amputation. Also we reveal that 75.0% of the surgical cases had deep tissue incision. All subject responded that medical negligence as the cause of post-operative infections with more incidence in secondary public health facilities (Table 1).
|Result||Septic Diabetic (%) n=40||Septic non-diabetic (%) n=40||Total (%) n=80||P value|
|Abdominal||9 (22.5)||17 (42.5)||26 (32.5)||P=0.0758|
|Breast||1 (2.5)||0 (0.0)||1 (1.3)|
|O & G||5 (12.5)||7 (17.5)||12 (15.0)|
|Orthopaedic||21 (52.5)||16 (40.0)||37 (46.3)|
|Diabetic foot amputation||4 (10.0)||0 (0.00)||4 (5.0)|
|Surgical site infection class|
|Superficial||12 (30.0)||8 (20.0)||20 (25.0)||p=0.3047|
|Deep tissue/organ||28 (70.0)||32 (80.0)||60 (75.0)|
|What contributes to SSI|
|Strikes||2 (5.0)||0 (0.0)||2 (2.5)||p=0.3189|
|Un-qualified nurse||5 (12.5)||4 (10.0)||9 (11.2)|
|Use of fake drugs||9 (22.5)||16 (40.0)||25 (31.3)|
|Un-sterilized equipment||9 (22.5)||6 (15.0)||15 (18.7)|
|Medical negligence||15 (37.5)||14 (35.0)||29 (36.3)|
|O&G=Obstetrics and Gynaecology; SSI=Surgical Site Infection.|
Table 1: Distribution of surgical intervention and post-operative risk factor to SSI.
Table 2 shows frequency distribution of bacterial isolates among post-operative septic diabetic and septic non-diabetic patients. Study revealed that Staphylococcus spps (both coagulase positive and coagulase negative) 28 (35.0%) was the highest bacterial isolates and Streptococcus spp (3.7%) in septic non-diabetics subject were the least isolates.
|Results||Septic diabetic (%) n=40||Septic non-diabetic (%) n=40||Total (%)|
|Escherichia coli||10 (25.0)||12 (30.0)||22 (27.5)|
|Klebsiella spp||6 (15.0)||7 (17.5)||13 (16.3)|
|Proteus spp||3 (7.5)||1 (2.5)||4 (5.0)|
|Pseudomonas spp||6 (15.0)||4 (10.0.)||10 (12.5)|
|Staphylococcus spp||15 (37.5)||13 (32.5)||28 (35.0)|
|Streptococcus spp||0 (0.00)||3 (7.5)||3 (3.7)|
|Total||40 (100)||40 (100)||80 (100)|
|χ2=4.802; df=5; p=0.4406; CI=0.238; spp=species|
Table 2: Frequency distribution of bacterial isolates among post-operative septic diabetic and non-diabetic subjects.
Table 3 shows the susceptibility pattern of respective isolates to corresponding antibiotic among septic diabetic and non- diabetic subject. Ceftriazone, Levofloxacin, Ofloxacin proved more susceptible compared to Amoxicillin-Clavulanate and Gentamycin (Table 4).
|Drugs||Septic diabetics (n=40)|
|E.coli (12)||Kleb (6)||Proteus (3)||Pseudo (6)||Staphylococus spp (15)||Strept (0)|
|(%)||(%)||(%)||(%)||SA (10%)||NSA (5%)||(%)|
|Levofloxacin (5 µg)||9 (75.0)||6 (100)||3 (100)||2 (50.0)||4 (25.0)||5 (100)||0 (0.00)|
|Gentamycin (10 µg)||5 (45.6)||5 (83.3)||3 (100)||0 (0.00)||5 (38.4)||5 (100)||0 (0.00)|
|Ceftriazone (30 µg)||8 (91.6)||5 (83.3)||3 (100)||2 (50.0)||10 (76.9)||5 (100)||0 (0.00)|
|Augumentin (30 µg)||3 (25.0)||5 (83.3)||2 (66.6)||0 (0.00)||4 (30.7)||2 (40.0)||0 (0.00)|
|Ciproflox (10 µg)||7 (83.3)||4 (66.6)||3 (100)||1 (25.0)||7 (53.8)||5 (100)||0 (0.00)|
|Ofloxacin (5 µg)||8 (66.6)||6 (100)||3 (100)||0 (0.00)||7 (53.8)||2 (40.0)||0 (0.00)|
|Resistance||4 (33.3)||1 (16.6)||1 (33.3)||4 (25.0)||5 (46.1)||1 (20)||0 (0.00)|
|χ2=23.942; df=30; p=0.7746; SA=Coagulase positive staphylococcus aureus; NSA=Non coagulase positive staphylococcus; E.coli=Escherichia coli; Kleb=Klebsiella spp; Proteus=Proteus spp; Pseudo=Pseudomonas aureoginosa; Strept=Streptococcus spp and Spp=Spacies; Ciproflox=Ciprofloxacin|
Table 3: Antibiotic susceptibility pattern of the bacterial isolates among septic diabetic subjects.
|Drugs||Septic non-diabetics (n=40)|
|E. coli||Kleb||Proteus||Pseudo||Staphylococus spp (15)||Strept|
|(n=12%)||(n=7%)||(n=1%)||(n=4%)||SA (10%)||NSA (3%)||(n=3%)|
|Levofloxacin (5 µg)||12 (100.0)||7 (100.0)||1 (100.0)||3(75.0)||10 (100.0)||3 (91.6)||2 (66.6)|
|Gentamycin (10 µg)||12 (100.0)||5 (71.4)||1 (100.0)||0 (0.00)||10 (100.0)||3 (100.0)||0 (0.00)|
|Cetriazone (30 µg)||10 (83.3)||7(100.0)||1 (100.0)||2 (50.0)||9 (90.0)||3 (100.0)||2 (66.6)|
|Amoxicillin-Clavulanate (30 µg)||5 (41.6)||5 (71.4)||0 (0.00)||1 (33.3)||6 (60.0)||3 (66.6)||0 (0.00)|
|Ciprofloxacin (10 µg)||10 (83.3)||7 (100.0)||1 (100.0)||2 (83.3)||10 (100.0)||3 (91.6)||0 (0.00)|
|Ofloxacin (5 µg)||11 (91.6)||6 (85.7)||1 (100.0)||1 (33.3)||8 (80.0)||3 (100.0)||1 (33.3)|
|Resistance||3 (25.0)||0 (0.00)||0 (0.00)||1 (33.3)||3 (30.0)||0 (0.00)||1 (33.3)|
|χ2=8.888; df=30; p=0.9999; SA=Coagulase positive staphylococcus aureus; NSA=Non coagulase positive staphylococcus; E.coli=Escherichia coli; Kleb=Klebsiella spp; Proteus=Proteus spp; Pseudo=Pseudomonas aureoginosa; Strept=Streptococcus spp and spp=Species; Ciproflox=Ciprofloxacin|
Table 4: Distribution of antibiotic susceptibility pattern of the isolate among septic non- diabetic subject.
Table 5 above shows no significant difference between the frequencies of bacterial isolates from post-operative diabetic and non-diabetics.
|Sensitivity of isolate||p-value|
|Other Staphylococcus spp||0.3975|
Table 5: Difference between frequency of bacterial isolate among postoperative diabetic and non-diabetic participants.
Table 6 above Compares the level of significant difference in antibiotic sensitivity of all the antibiotics to specific E. coli, Klebiella spp, Proteus spp, Staphylococcus spp and streptococcus spp between post-operative diabetic and non-diabetics. There is a significant difference in the susceptibility of levofloxacin and ofloxacin between the two groups (with p<0.0001). This suggests increase antibiotic resistance in septic diabetics than septic non-diabetics.
|Sensitivity of isolate||p-value|
|Levofloxacin (5 µg)||0.0252*|
|Gentamycin (10 µg)||0.4341|
|Ceftriazone (30 µg)||0.2083|
|Amoxicillin-Clavulanate (30 µg)||0.1896|
|Ciprofloxacin (10 µg)||0.2159|
|Ofloxacin (5 µg)||0.0001*|
Table 6: Difference between antibiotic susceptibilities of antibacterial in post-operative diabetic and non-diabetic participants.
It has been shown by many reports that diabetic patients suffer from multiple immunological disorders. Nigeria is one of the nations most affected by diabetes mellitus. However, there is paucity of information in regards to innate immune status of diabetic patients especially in those with septic operation. This study reveals the polymicrobial nature associated with septic diabetic and septic non-diabetic wound infections often characterized by gram positive and gram negative bacterial that causes chronic wound and complex infections as being reported in previous studies [14,15].
Distribution of bacterial isolate in this study suggests that Staphylococcus spp (both coagulase positive and coagulase negative) 15 (37.5%) is the most common pathogen isolated from post-operative septic wounds and in septic diabetic subject followed by Escherichia coli 10 (25.0 %), Klebsialla and Pseudomonas aeruginosa has 6 (15.0%). Similarly, Staphylococcus spp in septic non-diabetic has (35.0%), followed by Escherichia coli and Proteus spp were 27.5% while Klebsiella spp, Streptococcus spp and Pseudomonas aeruginosa, have 16.3 %, 3.7 % and 2.5%, respectively. This work agrees with Abid et al.  who reported 50.3% Staphylococcus spp, 16.3% Pseudomonas spp, 14.37% Escherichia coli, 11.8% Klebsiella spp and 1.3% Proteus spp. This also acquiesces with the study of Kassam et al.  in Tanzania, where Staphylococcus aureus was the most common isolate (16.0%) from infected wounds. This is not far-fetched as S. aureus is normal flora of the skin and anterior nares; therefore, they can easily contaminate wounds and cause infections coupled with their vast numbers of virulence factors that increase their ability to cause infections when compared to other bacteria in immune laden diabetic patients.
In a similar study by Aisha et al.  reported Staphylococcus aureus as the common pathogen (22.0%), followed by Pseudomonas spp (19.9%), Escherichia coli (14.7%) and Proteus (14.5%). Mathangi et al.  reported that out of 22 cultured isolates obtained from diabetic foot of infected patients 9 isolates were predominantly Staphylococcus aureus thereby indicating its prominence amidst other isolates including Pseudomonas aeruginosa, Morganella morganii and Acinetobacter baumanii. This may be due to the frequent and predominant colonization pattern of coagulase negative Staphylococus aureus among the other organisms from septic surgical diabetic foot infections . This study also, agrees with Amlsha et al.  who reported common isolate as being Staphylococcus aureus (39.7%) among surgical site infections.
The antibiotic susceptibility patterns of respective isolates showed Ceftriazone, Levofloxacin, Ofloxacin as more susceptible compared to Amoxicillin-Clavulanate and Gentamycin. This observed susceptibility pattern is an indication that these agents may serves as alternate options for effective therapeutic output and clinical management of post-operative diabetic wound infections in affected patients . However, there is an increased level of antibiotic resistance for bacterial pathogens isolated in this study in post-operative septic diabetic and septic non-diabetic patients against Gentamycin, Ceftriazone and Amoxicillin-Clavulanate.
The pattern also suggests multidrug resistance in Staphylococcus aureus, Escherichia coli and Pseudomonas spp to Amoxicillin-Clavulanate, Gentamicin, Cephalosporin (Ceftriazone) and fluoroquinolones (Levofloxacin and Ofloxacin). This is closely related to most studies conducted in Sub-Saharan African Countries . Reasons for such resistance patterns are often due to easy affordability and accessibility of these agents being readily administered for a wide range of infections in the community. This study agrees with a similar work by Hossain et al.  in Bangladesh that reports an increased resistance in Pseudomonas and Staphylococcus spps to over 12 groups of antibiotics in septic diabetic foot infections compared to reduced resistance in 8 groups of antibiotics in septic non-diabetic foot infections. Also, low resistance observed in coagulase negative Staphylococcus aureus may be due to possible external contamination.
Increased antimicrobial resistance for Escherichia coli and Pseudomonas spp. observed in this study can be associated with extended spectrum beta lactamase enzymes that are sometimes produced by these bacterial pathogens. This takes the advantage of suppressed immunity caused by wound trauma . However, increased antibiotic susceptibility or zero resistance was observed in isolates such as Proteus spp., Klebsiella spp. and coagulase negative Staphylococci. It further suggests an increased resistance in septic post-operative diabetic subjects against septic non-diabetics.
In clinical management of post- operative septic diabetic patients, care must be taken in prescribing antibiotics, while a more effective broad-spectrum antibiotic with wide therapeutic margin against polymicrobial wound pathogens may be a better option. Also, studies to harness the genetic mechanisms of antibiotic resistance with resultant immunological effects in post-operative septic diabetics against septic non-diabetics are suggested.
Authors wish to appreciate the technical support provided by staff of medical microbiology laboratory, University of Abuja Teaching Hospital and National Hospital, FCT, Abuja, Nigeria.
Conflict of Interest
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Citation: Babandina MM, Mainasara AS, Nasir IA, Dallatu MK, Bakare M, et al. (2018) Phenotypic Profile and Antibiogram of Pathogens Isolated from Diabetic Patients Attending National Hospital in Abuja, Nigeria. J Infect Dis Ther 6: 361. Doi: 10.4172/2332-0877.1000361
Copyright: © 2018 Babandina MM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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