MATERIALS AND METHODS: Immunohistochemical analysis of 60 thyroidectomy specimens (10 hyperplastic nodules, 14 follicular adenomas and 36 malignant thyroid neoplasms) was carried out. The extent and intensity of HBME-1, CK19, and S100 immunoreactivity was assessed in each case.
RESULTS: HBME-1 positivity was noted in 86.1% of malignant cases while the majority of the benign lesions were negative. Diffuse strong CK19 positivity was documented in 27/31 papillary carcinoma whereas all cases of follicular carcinoma and medullary carcinoma were negative. Most of the hyperplastic nodules and follicular adenomas were also CK19 negative, although focal weak staining was noted in a few cases. S100 was positive only in medullary carcinoma. HBME-1 was most sensitive (86.1%) and specific (87.5%) in distinguishing between benign and malignant thyroid lesions. The diagnostic accuracy was further increased when HBME-1 was used simultaneously with CK19/S100/CK19+S100. The sequential use of HBME-1 and CK19 also proved beneficial in discriminating between the various follicular-patterned thyroid lesions.
CONCLUSION: HBME-1 immunolabeling suggests malignancy, whereas strong diffuse CK19 positivity substantiates papillary differentiation. The utilization of these markers (alone or in combination) along with histomorphological evaluation is helpful in the differential diagnosis. S100 has minimal utility in this regard.
METHODS: The derivation cohort included 90 Malaysian GBS patients with two sets of NCS performed early (1-20days) and late (3-8 weeks). Potential predictors of AIDP were considered in univariate and multivariate logistic regression models to develop a predictive model. The model was externally validated in 102 Japanese GBS patients.
RESULTS: Median motor conduction velocity (MCV), ulnar distal motor latency (DML) and abnormal ulnar/normal sural pattern were independently associated with AIDP at both timepoints (median MCV: p = 0.038, p = 0.014; ulnar DML: p = 0.002, p = 0.003; sural sparing: p = 0.033, p = 0.009). There was good discrimination of AIDP (area under the curve (AUC) 0.86-0.89) and this was valid in the validation cohort (AUC 0.74-0.94). Scores ranged from 0 to 6, and corresponded to AIDP probabilities of 15-98% at early NCS and 6-100% at late NCS.
CONCLUSION: The probabilities of AIDP could be reliably predicted based on median MCV, ulnar DML and ulnar/sural sparing pattern that were determined at early and late stages of GBS.
SIGNIFICANCE: A simple and valid model was developed which can accurately predict the probability of AIDP.
RESULTS: A noticeable variation between the RDT (Alltest Biotech, China) and nPCR results was observed, for RDT 78% (46/59) were P. falciparum positive, 6.8% (4/59) were co-infected with both P. falciparum and Plasmodium vivax, 15.3% (9/59) were negative by the RDT. However, when the nPCR was applied only 44.1% (26/59) and 55.9% (33/59) was P. falciparum positive and negative respectively. The pfhrp2 was further amplified form all nPCR positive samples. Only 17 DNA samples were positive from the 26 positive P. falciparum, interestingly, variation in band sizes was observed and further confirmed by DNA sequencing, and sequencing analysis revealed a high-level of genetic diversity of the pfhrp2 gene in the parasite population from the study area. However, despite extreme sequence variation, diversity of PfHRP2 does not appear to affect RDT performance.