ObjectiveTo investigate the succession model for hyperthyroidism and thyroid carcinoma secondary to nodular goiter in iodine deficiency area. MethodsA total of 216 specimens of goiter patients from iodine deficiency area were collected in the former 3rd hospital of Norman Bethune Medical College from January 1980 to December 1994. Twentyfour heteroploid samples were selected by the method of Hedley with Flow cytometry (FCM) analysis. Paraffin-embedded tissues from the same position were used to perform immunohistochemical staining for proliferating cell nuclear antigen (PCNA), laminin (LN), factor Ⅷ related antigen (FⅧ-RAg), and p53. The proliferative activity, stroma change, and angiogenesis were observed. ResultsPCNA label index (PCNA-LI) and proliferation index (PI) consistent in 24 heteroploid samples with PCNA staining were significantly higher value. PCNA positive cells were mainly distributed over nonfollicular parenchymatous structures, small follicles, and multilayered structures with large bubbly follicles. Destroyed basement membrane and necrosis were found by LN staining in PCNA positive position with vigorous reproductive capacity. Combining FⅧ-RAg staining with LN staining, interstitial proliferation and angiogenesis were obvious in follicular epithelial cells with vigorous reproductive capacity, providing nutrition and superior environment for them. ConclusionsThe reproduction of thyroid follicular epithelial cells, interstitial proliferation, and angiogenesis are all involved in tuberosis and hyperthyroidism, forming precancerous lesion, which suggest the succession model of goiter in iodine deficiency area.
Objective To investigate the clinical significance of visual identification and intraoperative neuromonitoring of recurrent laryngeal nerve (RLN) during thyroidectomy. Methods Totally 1 664 patients underwent thyroidectomy with RLN protection from January 2009 to December 2009 were included in this study, in which 1 447 cases were protected by visual identification only, and 217 complex thyroidectomy cases were protected by visual identification and intraoperative monitoring. Results By the “multisites, three steps” RLN exposure method, 1 417 cases （85.16%） were successfully recognized and the recognition time was (3.57±1.26) min. The recognition time in the rest 30 complex cases (2.07%) without intraoperative neuromonitoring was (17.02±5.48) min. By this method, the temporary RLN injury occurred in 23 cases (1.54%) and 15 cases (65.22%) recovered within 2 weeks. In patients undewent intraoperative neuromonitoring, the recognition rate was 100% (217/217) and recognition time was (2.18±0.67) min. The temporary RLN injury occurred in 4 cases (1.84%) and 3 cases (75.00%) recovered within 2 weeks. All temporary RLN injuries recovered within 1 month and no persistent RLN injury occurred. Conclusions Conventional visual identification can reduce the RLN injury, but not meet the needs of the RLN protection during complex thyroidectomy. The combination of visual identification and intraoperative neuromonitoring can further improve the recognition rate and shorten the recovery time of vocal cord dyskinesia.
The forced oscillation technique (FOT) is an active pulmonary function measurement technique that was applied to identify the mechanical properties of the respiratory system using external excitation signals. FOT commonly includes single frequency sine, pseudorandom and periodic impulse excitation signals. Aiming at preventing the time-domain amplitude overshoot that might exist in the acquisition of combined multi sinusoidal pseudorandom signals, this paper studied the phase optimization of pseudorandom signals. We tried two methods including the random phase combination and time-frequency domain swapping algorithm to solve this problem, and used the crest factor to estimate the effect of optimization. Furthermore, in order to make the pseudorandom signals met the requirement of the respiratory system identification in 4–40 Hz, we compensated the input signals’ amplitudes at the low frequency band (4–18 Hz) according to the frequency-response curve of the oscillation unit. Resuts showed that time-frequency domain swapping algorithm could effectively optimize the phase combination of pseudorandom signals. Moreover, when the amplitudes at low frequencies were compensated, the expected stimulus signals which met the performance requirements were obtained eventually.
To achieve continuously physiological monitoring on hospital inpatients, a ubiquitous and wearable physiological monitoring system SensEcho was developed. The whole system consists of three parts: a wearable physiological monitoring unit, a wireless network and communication unit and a central monitoring system. The wearable physiological monitoring unit is an elastic shirt with respiratory inductive plethysmography sensor and textile electrocardiogram (ECG) electrodes embedded in, to collect physiological signals of ECG, respiration and posture/activity continuously and ubiquitously. The wireless network and communication unit is based on WiFi networking technology to transmit data from each physiological monitoring unit to the central monitoring system. A protocol of multiple data re-transmission and data integrity verification was implemented to reduce packet dropouts during the wireless communication. The central monitoring system displays data collected by the wearable system from each inpatient and monitors the status of each patient. An architecture of data server and algorithm server was established, supporting further data mining and analysis for big medical data. The performance of the whole system was validated. Three kinds of tests were conducted: validation of physiological monitoring algorithms, reliability of the monitoring system on volunteers, and reliability of data transmission. The results show that the whole system can achieve good performance in both physiological monitoring and wireless data transmission. The application of this system in clinical settings has the potential to establish a new model for individualized hospital inpatients monitoring, and provide more precision medicine to the patients with information derived from the continuously collected physiological parameters.
ObjectiveTo evaluate the screening performance of commonly used renal function indicators for chronic kidney disease (CKD) in subjects of different ages, so as to explore the appropriate screening regimen for Chinese population.MethodsA total of 2 131 adult subjects in Sichuan Orthopaedic Hospital or Mianyang Central Hospital from May 2016 to October 2017 were selected. They were divided into three groups according to age: group A (18–39 years, n=278), group B (40–64 years, n=1 167), and group C (≥65 years, n=686). Serum levels of creatinine (SCr), urea, and cystatin C [CysC; to calculate estimated glomerular filtration rate (eGFR) based on this index], as well as urine levels of albumin, total protein and creatinine were measured, and urine albumin to creatinine ratio (ACR) and urine protein to creatinine ratio (PCR) were calculated respectively. CKD was diagnosed according to the Kidney Disease: Improving Global Outcomes (KDIGO) Guideline (2012 Edition). The receiver-operating characteristic (ROC) curve analysis was finally performed to investigate the diagnostic performance of each indicator for CKD.ResultsThe prevalences of CKD in group A, B, and C were 10.8% (30/278), 16.4% (191/1 167), and 45.8% (314/686), respectively, and the difference among these groups was statistically significant (χ2=233.525, P<0.001). In addition, the levels of the six renal function indicators between CKD and non-CKD subjects also had statistically significant differences in different age groups (P<0 05="" otherwise="" roc="" curve="" analysis="" revealed="" that="" the="" diagnostic="" values="" of="" these="" indicators="" were:="" acr="" or="" pcr=""> eGFR or CysC > serum urea or SCr (AllP<0 05="" except="" that="" egfr="" cysc="" serum="" urea="" and="" scr="" in="" group="" a="" assessed="" the="" similar="" diagnostic="" performance="" among="" the="" three="" indicators="" recommended="" by="" kdigo="" guideline="" the="" diagnostic="" performances="" of="" acr="" and="" pcr="" in="" different="" age="" groups="" were:="" group="" b="" 0="" 915="" 0="" 914=""> group A (0.885, 0.890) > group C (0.841, 0.846), while the diagnostic performance of eGFR was group C (0.807) > group B (0.728) > group A (0.696). The best boundary values of ACR and PCR were lower while the value of eGFR was higher than the corresponding KDIGO recommended medical decision levels.ConclusionsACR is the first choice for screening CKD when the renal function index creatinine is normal. Moreover, eGFR can further improve the diagnostic value, especially in subjects over 65 years old.
This paper aims to study the accuracy of cardiopulmonary physiological parameters measurement under different exercise intensity in the accompanying (wearable) physiological parameter monitoring system. SensEcho, an accompanying physiological parameter monitoring system, and CORTEX METALYZER 3B, a cardiopulmonary function testing system, were used to simultaneously collect the cardiopulmonary physiological parameters of 28 healthy volunteers (17 males and 11 females) in various exercise states, such as standing, lying down and Bruce treadmill exercise. Bland-Altman analysis, correlation analysis and other methods, from the perspective of group and individual, were used to contrast and analyze the two types of equipment to measure parameters of heart rate and breathing rate. The results of group analysis showed that the heart rate and respiratory rate data box charts collected by the two devices were highly consistent. The heart rate difference was (−0.407 ± 3.380) times/min, and the respiratory rate difference was (−0.560 ± 7.047) times/min. The difference was very small. The Bland-Altman plot of the heart rate and respiratory rate in each experimental stage showed that the proportion of mean ± 2SD was 96.86% and 95.29%, respectively. The results of individual analysis showed that the correlation coefficients of the whole-process heart rate and respiratory rate data were all greater than 0.9. In conclusion, SensEcho, as an accompanying physiological parameter monitoring system, can accurately measure the human heart rate, respiration rate and other key cardiopulmonary physiological parameters under various sports conditions. It can maintain good stability under various sports conditions and meet the requirements of continuous physiological signal collection and analysis application under sports conditions.