Objective:To analyze and compare the pathological data characteristics of patients with simple papillary thyroid carcinoma (PTC) and PTC combined with Hashimoto’s thyroiditis (HT), so as to provide clinical treatment ideas.Methods:A retrospective analysis was performed on the medical records of 326 PTC patients who met the requirements and underwent surgical treatment in the Department of Thyroid and Breast Surgery, Nanjing Hospital of Traditional Chinese Medicine from Jan. 2020 to May. 2022. There were 81 males and 245 females. They were divided into PTC group and HT-PTC group, according to whether they were combined with HT. Clinical data were collected and organized. The collection indicators included patient gender, age, body mass index (BMI), five preoperative thyroid function items including free triiodothyronine (FT3), free thyroxine (FT4), triiodothyronine (T3), thyroxine (T4), thyroid stimulating hormone (TSH), BRAF gene mutation, single or bilateral lesions, single or multiple lesions, largest postoperative pathological tumor lesions diameter, cervical lymph node metastasis (LNM) status, etc. At the same time, all patients were divided into CLNM group and no CLNM group according to CLNM status. The two groups were compared in terms of gender, age ≥55 years old, whether combined with HT, number of lesions, unilateral and bilateral, extraglandular invasion, microcarcinoma, and BRAF gene. Statistical software was used to analyze the results. t test, χ2 test, and logistic regression analysis were adopted. P<0.05 indicates that the difference is statistically significant. Results:The proportion of female patients in both groups was higher, and the proportion of female patients in the HT-PTC group (90/100, 90%) was higher than that in the PTC group (155/226, 69.59%). HT-PTC patients were younger than patients in the PTC group (43.03±12.72 vs. 43.70±12.63) years old, and their TSH (2.71±1.69 vs. 2.02±1.46) uIU/mL was higher. The differences were statistically significant (all P<0.05). There were no statistically significant differences in BMI, FT3, FT4, T3, or T4 (all P>0.05). The HT-PTC group had a lower proportion of BRAF gene mutations [87/100 (87%) vs. 212/226 (93.8%) ], a smaller maximum tumor diameter (1.06±0.73 vs. 1.32±0.97 cm), and a lower proportion of CLNM [37 /100 (37%) vs. 118/226 (52.2%) ]. The number of LNMs with metastasis is less (3.33±2.21 vs. 4.76±4.00), and it was more likely to be multifocal [44/100 (44%) vs. 73/226 (32.74%) ]. All differences were statistically significant (all P<0.05), and the differences in bilateral gland lobes involvement and extra-glandular invasion were not statistically significant. When accompanied by CLNM, gender (male vs. female) [55/100 (35.45%/64.52%) vs. 26/145 (15.2%/84.85%) ], age ≥ 55 years (yes vs. no) [21/134 (13.55) %/86.45%) vs. 50/121 (29.24%/70.76%) ], HT (yes vs. no) [37/118 (23.87%/76.13%) vs. 63/108 (36.84%/63.16%), number of lesions (single focus vs. multiple focus) [90/65 (41.94%/50.06%) vs. 119/52 (69.59%/30.41%) ], microcarcinoma (yes vs. no) [83/72 (53.55%/45.45%) vs. 139/32 (81.29%/18.71%) ] and extraglandular invasion (with vs. without) [38/117 (24.52%/75.48%) vs. 27/144 (17.42%/84.21%) ] had statistics significance (both P<0.05). There was no statistical significance in bilateral lesion involvement or BRAF gene mutation (all P>0.05). Multivariate logistic regression analysis showed that age, microcarcinoma, HT, gender, and number of lesions were independent risk factors for CLNM, and male gender and multifocal cancer were risk factors for CLNM. Age ≥55 years, microcarcinoma, and combined HT were negatively associated with CLNM. Conclusions:HT may promote the occurrence of PTC, but can inhibit its development. In the short term, patients with HT can have a better prognosis than those with simple PTC.

As one of the standard electrophysiological signals in the human body, the photoplethysmography contains detailed information about the blood microcirculation and has been commonly used in various medical scenarios, where the accurate detection of the pulse waveform and quantification of its morphological characteristics are essential steps. In this paper, a modular pulse wave preprocessing and analysis system is developed based on the principles of design patterns. The system designs each part of the preprocessing and analysis process as independent functional modules to be compatible and reusable. In addition, the detection process of the pulse waveform is improved, and a new waveform detection algorithm composed of screening-checking-deciding is proposed. It is verified that the algorithm has a practical design for each module, high accuracy of waveform recognition and high anti-interference capability. The modular pulse wave preprocessing and analysis software system developed in this paper can meet the individual preprocessing requirements for various pulse wave application studies under different platforms. The proposed novel algorithm with high accuracy also provides a new idea for the pulse wave analysis process.
Humans ; Systems Analysis ; Algorithms ; Software ; Heart Rate ; Microcirculation