| Literature DB >> 35069818 |
Mihail Zemba1,2, Otilia-Maria Dumitrescu1, Andreea-Elena Dimirache1, Daniel Constantin Branisteanu3, Florian Balta2, Marian Burcea2, Andreea Dana Moraru3, Sinziana Gradinaru2.
Abstract
Infectious keratitis is a leading cause of visual morbidity, including blindness, all across the globe, especially in developing countries. Prompt and adequate treatment is mandatory to maintain corneal integrity and to recover the best possible final visual acuity. Although in most of the cases practitioners chose to employ empirical broad-spectrum antimicrobial medication that is usually effective, in some instances, they face the need to identify the causative agent to establish the appropriate therapy. An extensive search was conducted on published literature before December 2020 concerning the main laboratory investigations used to identify the microbial agents found in infectious keratitis, their indications, advantages, and disadvantages, as well as the results reported by other studies concerning different diagnostic tools. At present, the gold standard for diagnosis is still considered to be the isolation of microorganisms in cultures, along with the examination of smears, but other newer techniques, such as polymerase chain reaction (PCR), next-generation sequencing (NGS), and in vivo confocal microscopy (IVCM) have gained popularity in the last decades. Currently, these newer methods have proved to be valuable adjuvants in making the diagnosis, but technological advances hold promise that, in the future, these methods will have increased performance and availability, and may become the new gold standard, replacing the classic cultures and smears. Copyright: © Zemba et al.Entities:
Keywords: Acanthamoeba keratitis; bacterial keratitis; corneal ulcer; fungal keratitis; in vivo confocal microscopy; infectious keratitis; next-generation sequencing; polymerase chain reaction
Year: 2021 PMID: 35069818 PMCID: PMC8756399 DOI: 10.3892/etm.2021.11060
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.447
Sensitivity and specificity of the Gram and the KOH stains in the diagnosis of infectious keratitis.
| Gram | KOH | ||||||
|---|---|---|---|---|---|---|---|
| Study | Number of eyes investigated | Microorganism | Sn | Sp | Sn | Sp | Observations |
| Bharathi | 3298 | Fungi | 89.2% | 100% | 99% | 99.1% | None |
| Bacteria | 100% | 96.7% | NA | NA | |||
| 87% | 97.6% | 100% | 100% | ||||
| 60% | 100% | 91.4% | 100% | ||||
| Overall (bacteria + fungi + | 93.8% | 93.9% | 99.1% | 91% | |||
| Eleinen | 88 | Bacteria | 33.3% | 100% | NA | NA | None |
| Fungi | NA | NA | 65.9% | 100% | |||
| Sharma | 251 | Bacteria | 36% | 84.9% | NA | NA | Early keratitis (corneal stromal infiltrate ≥2 mm²) |
| Fungi | 61.1% | 99% | Stain: KOH + calcofluor white | ||||
| Sharma | 841 | Bacteria | 40.9% | 87.1% | NA | NA | Advanced keratitis (stromal infiltrate ≥25 mm² or corneal perforation or full-thickness stromal infiltrate) |
| Fungi | NA | NA | 87.7% | 83.7% | |||
| Stain: KOH + calcofluor white | |||||||
| Badiee | 38 | Fungi | 21% | 100% | 68% | 100% | None |
| Panda | 122 | Bacteria | 45.25% | 92.75% | NA | NA | None |
| Shimizu | 272 | Bacteria | 63.1% | 89.8% | NA | NA | None |
Sn, sensitivity; Sp, specificity; NA, not assessed.
Comparative sensitivities of smears, cultures and PCR in different studies.
| Sensitivity | ||||||||
|---|---|---|---|---|---|---|---|---|
| Study | Number of eyes investigated | Microorganism | PCR type | Target | Smear type | Smear | Culture | PCR (%) |
| Eleinen | 88 | Bacteria | Direct PCR | 16S rRNA gene | Gram | 33.33% | 57.33% | 87.88 |
| Eleinen | 88 | Fungi | Direct PCR | 18S rRNA gene | KOH | 65.91% | 59.09% | 90.91 |
| Badiee | 38 | Fungi | Nested PCR | 18S rRNA gene | KOH | 68% | 57% | 75 |
| Gram | 21% | |||||||
| Panda | 122 | Bacteria | Direct PCR | 16S rRNA gene | Gram | 45.25% | NA | 86.96 |
| Shimizu | 272 | Bacteria | Real-time PCR | 16S rRNA gene | Gram | 63.1% | 51.8% | 63.6 |
| Zhao | 67 | Bacteria | Direct PCR | 5.8S rRNA gene | Gram + | NA | 47.1% | 81.8 |
| Fungi | without | 16S rRNA gene | KOH | |||||
|
| template | The conservede | ||||||
| spp. | DNA | 29 region of | ||||||
| extraction | 18S rRNA gen | |||||||
| The US4 region of the envelope glycoprotein G | ||||||||
NA, not assessed.
Specificity and positive predictive values of PCR reported by different studies.
| Study | Number of eyes investigated | Microorganism | PCR type | Primer target | Specificity (%) | Positive predictive value (%) |
|---|---|---|---|---|---|---|
| Badiee | 38 | Fungi | Nested PCR | 18S rRNA gene | 70 | 50 |
| Panda | 122 | Bacteria | Direct PCR | 16S rRNA gene | 86.96 | 83.93 |
| Shimizu | 272 | Bacteria | Real-time PCR | 16S rRNA gene | 67.5 | 44.9 |
| Zhao | 67 | Bacteria | Direct PCR | 5.8S rRNA gene | ||
| Fungi | without | 16S r RNA gene | ||||
| template | The conserved 29 | |||||
| DNA | region of 18S | |||||
| extraction | rRNA gene | |||||
| The US4 region of the envelope glycoprotein G | 81.8 | 96.2 |
Sensitivity and specificity of IVCM in different studies.
| Study | Number of eyes investigated | Microorganism | Sensitivity (%) | Specificity (%) |
|---|---|---|---|---|
| Goh | 25 | 88.9-100 | 100 | |
| Kanavi | 133 | 100 | 84 | |
| Vaddavalli | 148 | 80 | 100 | |
| Wang | 49 | 91.7 | 100 | |
| Kanavi | 133 | Fungi | 94 | 78 |
| Vaddavalli | 148 | 89.2 | 92.7 | |
| Wang | 49 | 66.7 | 100 | |
| Vaddavalli | 148 | Fungi + | 88.3 | 91.1 |
| Wang | 49 | 85.3 | 100 | |
| Wang | 49 | Bacteria | 66.7 | 100 |
| Wang | 49 | Viruses | 100 | 100 |