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Optical microscopic study on a novel morphological classification method of multiple diagnostic features of Sarcoptes scabiei var. hominis

Published online by Cambridge University Press:  05 October 2023

Wanchen Li
Affiliation:
Department of Clinical Laboratory, The Second Hospital of Tianjin Medical University, Tianjin, PR China
Xiaoli Li
Affiliation:
Department of Clinical Laboratory, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, PR China
Lin Song*
Affiliation:
Department of Clinical Laboratory, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, PR China
Hongfeng Li
Affiliation:
Department of Clinical Laboratory, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, PR China
Yaliu Wu
Affiliation:
Department of Clinical Laboratory, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, PR China
Jianjun Li
Affiliation:
Department of Clinical Laboratory, Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, PR China
*
Corresponding author: Lin Song; Email: kingsing123@126.com

Abstract

Optical microscopy is the gold standard technique used to confirm the diagnosis of scabies. Multiple diagnostic features of the pathogen Sarcoptes scabiei var. hominis (S. scabiei) can be identified under a microscope and classified into 3 categories: mites, eggs and fecal pellets. However, mite and eggshell fragments can also be observed, which have been ignored in the 2020 International Alliance for the Control of Scabies (IACS) Criteria and by most researchers. In this study, we propose a novel morphological classification method that classifies multiple diagnostic features into 5 categories and 7 subcategories. Our results revealed that 65.2% (1893 of 2896) of the positive cases were confirmed through the identification of mites, eggs or fecal pellets, whereas up to 34.6% (1003 of 2896) of the positive cases were confirmed through the identification of mite or eggshell fragments. Therefore, the important diagnostic values of mite and eggshell fragments should be emphasized. Importantly, for the first time, mite and eggshell fragments were classified into 7 subcategories, some of which are easily ignored or confused with contaminating artefacts. We believe that this novel morphological classification method will be beneficial for operator training in interpreting slides and in improving the 2020 IACS Criteria.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. Examples of mites and the anatomic structures. (A) Larvae; (B) nymphs; (C) adult male mites; (D) adult female mites (ventral aspect); (E) adult female mites (dorsal aspect); (F) a mite was cut into 2 parts; however, the gnathosoma and most idiosoma structures can be observed in a field; (G-J) larva with incomplete eggshells (red arrow). Complete body structures: a, gnathosoma; b-d, legs Ⅰ, Ⅱ, Ⅲ, and Ⅳ; f, long bristles; g, cuticular striations; h, cuticular spines; i, setae; j, ovum (magnification: 100).

Figure 1

Figure 2. Eggs at different developmental levels (magnification: 100).

Figure 2

Figure 3. Mite fragments. (A1–A4) Gnathosoma-type fragments; (B1–B4) idiosoma-type fragments; (C1–C4) leg-type fragments (magnification: 100).

Figure 3

Figure 4. Eggshell fragments. (A1–A4) Double-leaf fragments; (B1–B4) single-leaf fragments; (C1–C4) 1-shaped fragments; (D1–D4) amorphous fragments (magnification: 100).

Figure 4

Figure 5. Fecal pellets. (A and B) Fecal pellets in piles; (C) fecal pellets and a double-leaf fragment; (D) fecal pellets and a mite (magnification: 100).

Figure 5

Table 1. Positive detection rates between 2018 and 2022

Figure 6

Table 2. Frequency distribution of various diagnostic features of S. scabiei between 2018 and 2022