| Literature DB >> 35215093 |
Sukanta Chowdhury1, Lovely Barai2, Samira Rahat Afroze2, Probir Kumar Ghosh1, Farhana Afroz2, Habibur Rahman1, Sumon Ghosh1, Muhammad Belal Hossain3, Mohammed Ziaur Rahman1, Pritimoy Das4, Muhammad Abdur Rahim2.
Abstract
Melioidosis is an under-recognized fatal disease in humans, caused by the Gram-negative bacterium Burkholderia pseudomallei. Globally, more than 35,000 human melioidosis cases have been reported since 1911. Soil acts as the natural reservoir of B. pseudomallei. Humans may become infected by this pathogen through direct contact with contaminated soil and/or water. Melioidosis commonly occurs in patients with diabetes mellitus, who increase the occurrence of melioidosis in a population. We carried out a systematic review and meta-analysis to investigate to what extent diabetes mellitus affects the patient in getting melioidosis. We selected 39 articles for meta-analysis. This extensive review also provided the latest updates on the global distribution, clinical manifestation, preexisting underlying diseases, and risk factors of melioidosis. Diabetes mellitus was identified as the predominant predisposing factor for melioidosis in humans. The overall proportion of melioidosis cases having diabetes was 45.68% (95% CI: 44.8-46.57, p < 0.001). Patients with diabetes mellitus were three times more likely to develop melioidosis than patients with no diabetes (RR 3.40, 95% CI: 2.92-3.87, p < 0.001). The other potential risk factors included old age, exposure to soil and water, preexisting underlying diseases (chronic kidney disease, lung disease, heart disease, and thalassemia), and agricultural activities. Evidence-based clinical practice guidelines for melioidosis in patients with diabetes mellitus may be developed and shared with healthcare professionals of melioidosis endemic countries to reduce morbidity.Entities:
Keywords: diabetes mellitus; humans; melioidosis; meta-analysis; systematic review
Year: 2022 PMID: 35215093 PMCID: PMC8878808 DOI: 10.3390/pathogens11020149
Source DB: PubMed Journal: Pathogens ISSN: 2076-0817
Figure 1Flow diagram of the document search and selection.
Figure 2Top 15 countries reported more than 50 human melioidosis cases, 1911–2020 (Data source: Supplementary Table S1. Country data summary. Microbiology Department at Mahidol Oxford Tropical Medicine Research Unit. https://www.melioidosis.info/info.aspx?pageID=107&contentID=1070102, accessed on 16 May 2021) [4].
Figure 3Global distribution of melioidosis in humans, 1911–2020 (Data source: (Supplementary Table S1. Country data summary. Microbiology Department at Mahidol Oxford Tropical Medicine Research Unit. https://www.melioidosis.info/info.aspx?pageID=107&contentID=1070102, accessed on 16 May 2021) [4].
Country wise reported clinical presentations for melioidosis in human.
| Country | Manifestation | References |
|---|---|---|
| Australia | Fever, pneumonia, genitourinary infections, abdominal pain, skin abscesses, osteomyelitis, septic arthritis, soft tissue abscess, and encephalomyelitis, genitourinary infection, communicating hydrocephalus and encephalomyelitis. | [ |
| Bangladesh | Fever, abdominal pain, arthritis, cough, lung abscess, prostate abscess, liver abscess, skin abscess, pneumonia, septic arthritis and meningitis. | [ |
| Cambodia | Fever, cough, chest pain, weight loss, acute suppurativeparotitis, pneumonia, Superficial soft-tissue abscess, Lymph-node abscess, Meningitis, Bone/joint infection, Deep abscesses, urogenital infection, shock and multi-organ failure. | [ |
| China | Fever, pneumonia, septicaemia, visceral abscess, urinary tract infection, lymphadenitis, arthritis, parotitis, orchitis, soft tissue abscess and prostatic infection. | [ |
| India | Fever, visceral abscess, septic arthritis, renal failure, abdominal pain, pneumonia, hepatomegaly, osteo-myelitis, splenomegalyand septicemia. | [ |
| Laos | Fever, weight loss, productive cough, acute bilateral supraclavicular lymphadenitis, septic arthritis and spleen abscess. | [ |
| Malaysia | Fever, pneumonia, septicemia, shock, lung abscess, cervical abscess, submandibular abscess, axillary abscess, skin abscess, muscle abscess, liver abscess and brain abscess. | [ |
| Singapore | Fever, pneumonia, acute respiratory distress syndrome (ARDS), abscess, abdominal pain, vomiting, diarrhea, dysuria and haematuria. | [ |
| Taiwan | Fever, cough, pneumonia, abdominal pain, septicemia, soft-tissue abscess, mycotic aneurysm and renal failure. | [ |
| Thailand | Fever, pneumonia, acute respiratory distress syndrome (ARDS), splenic abscess, liver abscess, muscle abscess, prostatic abscesses, renal abscess, parotid gland abscess, submandibular node abscess, septic arthritis, osteomyelitisand facial cellulitis. | [ |
Country wise identified significant risk factors for melioidosis in humans.
| Country | Risk Factors | References |
|---|---|---|
| Australia | Diabetes mellitus | [ |
| Exposure to soil and water | [ | |
| Alcoholism | [ | |
| Old age | [ | |
| Chronic lung disease | [ | |
| Chronic renal disease | [ | |
| Heart disease | [ | |
| Rainfall | [ | |
| Bangladesh | Diabetes mellitus | [ |
| Cambodia | Inappropriate antibiotic therapy | [ |
| Close contact with wet soil | [ | |
| Underlying chronic disease | [ | |
| India | Diabetes mellitus | [ |
| Alcoholism | [ | |
| Rainfall | [ | |
| Old age | [ | |
| Malaysia | Diabetes mellitus | [ |
| Thalassemia (children) | [ | |
| Singapore | Diabetes mellitus | [ |
| Old age | [ | |
| Thailand | Diabetes mellitus | [ |
| Thalassaemia | [ | |
| Lung disease | [ | |
| Inappropriate antibiotic therapy | [ | |
| Working in rice field | [ | |
| Exposure to rain | [ | |
| Exposure to soil and water | [ | |
| Old age | [ |
Figure 4Forest plot of the meta-analysis on proportion of diabetes mellitus in melioidosis positive cases (Data source: Supplementary Table S2).
Figure 5Forest plot showing association between melioidosis and diabetes mellitus in humans (Data source: Supplementary Table S3).
Biochemical and hematogical characteristics of the poorly controlled glycemia, well-controlled glycemia and non-diabetic patients [109].
| Characteristics | Poorly-Controlled Glycemia | Well-Controlled Glycemia | Non-Diabetic |
|---|---|---|---|
| Glycated hemoglobin A1c (HbA1c) (%) | 10.1 ± 1.2 | 6.1 ± 0.9 | 5.1 ± 0.4 |
| Erythrocyte sedimentation rate (ESR) (mm/h) | 32.8 ± 18.4 | 42.1 ± 24 | 10.7 ± 7.6 |
| C-reactive protein (CRP) (mg/L) | 8.7 ± 7.3 | 7.0 ± 5.2 | 2.0 ± 0.9 |
| Red blood cell count (RBCC) (1012/L) | 4.9 ± 0.6 | 4.6 ± 0.3 | 4.8 ± 0.5 |
| White blood cell count (WBCC) (109/L) | 8.05 ± 2.5 | 6.4 ± 1.4 | 5.6 ± 1.1 |
| Lymphocytes (109/L) | 2.25 ± 0.39 | 1.75 ± 0.41 | 1.84 ± 0.48 |
| Monocytes (109/L) | 0.59 ± 0.21 | 0.54 ± 0.14 | 0.45 ± 0.11 |
| Neutrophils (109/L) | 4.86 ± 2.2 | 3.84 ± 1.13 | 3.04 ± 0.72 |
| Platelets (109/L) | 270.8 ± 91.7 | 241.8 ± 117.7 | 236.5 ± 47.7 |