OBJECTIVE: To analyze the effect of COVID-19 infection on the mobilization and collection of autologous peripheral blood stem cells in patients with multiple myeloma. METHODS: The general baseline data, treatment factors before mobilization collection, collection status, and treatment overview after collection of autologous peripheral blood stem cells at Beijing Chaoyang Hospital affiliated with Capital Medical University from January 1, 2020 to July 15, 2023 were analyzed. RESULTS: 269 patients underwent mobilization and collection of autologous peripheral blood stem cells. Among them, 32 cases with COVID-19 infection history (COVID-19 group) and 237 cases without COVID-19 infection history (non-COVID-19 group). In the COVID-19 group, 17 cases were treated with chemotherapy (etoposide)+G-CSF, and 15 cases were treated with plerixafor +G-CSF. In the non-COVID-19 group, 214 cases were treated with chemotherapy +G-CSF, 17 cases were treated with plerixafor +G-CSF, and 6 cases were treated with chemotherapy + plerixafor +G-CSF. The number of CD34⁺ cells, collection success rate, and excellence rate in the COVID-19 group and the non-COVID-19 group were ［5.52 (0.94-26.87) vs 4.80 (0.53-37.20)］×10⁶/kg (P =0.610), (93.8% vs 85.2%) (P =0.275), (62.5% vs 49.4%) (P =0.190), respectively. Among 113 patients mobilized with etoposide +G-CSF, the number of CD34⁺ cells, success rate, and excellence rate collected from COVID-19 infection (17 cases) and non-COVID-19 infection (96 cases) were ［7.54 (2.66-26.87) vs 7.78 (2.26-37.20)］×10⁶/kg (P =0.847), (100.0% vs 100.0%) (no P value), (82.4% vs 86.5%) (P =0.655), respectively. Among 32 patients mobilized by plerixafor +G-CSF, the number of CD34⁺ cells, success rate and excellence rate of COVID-19 infection (15 cases) and non-COVID-19 infection (17 cases) were ［3.82 (0.94-7.27) vs 4.11 (0.53-9.05)］×10⁶/kg (P =0.821), (86.7% vs 88.2%) (P =0.893), (40.0% vs 35.3%) (P =0.784), respectively. In 32 patients with COVID-19 infection, the number of CD34⁺ cells collected by etoposide +G-CSF (17 cases) and plerixafor +G-CSF (15 cases), as well as the success rate and excellence rate were ［7.54 (2.66-26.87) vs 3.82(0.94-7.27)］×10⁶/kg (P =0.004), (100.0% vs 86.7%) (P =0.120), (82.4% vs 40.0%) (P =0.014), respectively. By 2023.7.31, 232 patients (86.2%, 232/269) had received transplantation, including 24 patients in the COVID-19 group and 208 patients in the non-COVID-19 group. The median number of CD34⁺ cells infused in the two groups was ［3.67 (2.50-13.44) vs 3.11(1.12-19.89)］×10⁶/kg (P =0.058), the median days of neutrophil engraftment ［11(9-13) vs 11(9-17)］ (P =0.674), the median days of platelet engraftment ［11(0-23), 12(0-43)］ (P =0.279), respectively. CONCLUSION The history of COVID-19 infection did not affect the PBSC mobilization, collection and transplantation of patients with myeloma. In patients with COVID-19 infection, the results of chemotherapy mobilization with etoposide seems to be better than that of plerixafor mobilization, but further research is needed to clarify.
Humans ; COVID-19/complications* ; Multiple Myeloma/complications* ; Hematopoietic Stem Cell Mobilization ; Transplantation, Autologous ; Granulocyte Colony-Stimulating Factor/therapeutic use* ; Peripheral Blood Stem Cell Transplantation ; SARS-CoV-2 ; Middle Aged ; Peripheral Blood Stem Cells ; Male ; Female ; Cyclams ; Benzylamines

OBJECTIVE: To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU). METHODS: We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed. RESULTS: A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability. CONCLUSION Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans ; Male ; Female ; Middle Aged ; Intensive Care Units ; Prognosis ; Chlorides/blood* ; Aged ; Coma/blood* ; Adult

Objective To explore the automated identification and diameter measurement methods for inferior vena cava (IVC) based on clinical ultrasound images of IVC. Methods An automated identification and localization method based on topology and automatic tracking algorithm was proposed. Tracking algorithm was used for identifying and continuously locating to improve the efficiency and accuracy of measurement. Tests were conducted on 18 sets of ultrasound data collected from 18 patients in intensive care unit (ICU),with clinicians' measurements as the gold standard. Results The recognition accuracy of the automated method was 94.44％ (17/18),and the measurement error of IVC diameter was within the range of±1.96s (s was the standard deviation). The automated method could replace the manual method. Conclusion The proposed IVC automated identification and localization algorithm based on topology and automatic tracking algorithm has high recognition success rate and IVC diameter measurement accuracy. It can assist clinicians in identifying and locating IVC,so as to improve the accuracy of IVC measurement.

AIM: To investigate the acute clinical manifestations of cosmetology-related ocular damage(COD).METHODS:Retrospective study. A total of 53 cases(89 eyes)with ocular damage caused by cosmetology from April 2016 to October 2021 were collected. The clinical features were analyzed, including age, gender, affected eye(s), clinical manifestations, injury cause, treatment procedures, and prognosis.RESULTS: All 53 patients were female, aged 22-45 years, with an average age of 28.4±6.7 years. Monocular injuries were observed in 17 patients, and binocular injuries in 36 patients. The same eye could exhibit two or more ocular damage simultaneously. The primary cosmetology procedures causing COD were eyeliner tattooing(38 eyes; 43%), eyelash extensions(18 eyes; 20%), removal of false eyelashes(11 eyes; 12%), mascara application(8 eyes; 9%), double eyelid surgery(6 eyes; 7%), and others(8 eyes; 9%). Major ocular damages included corneal damage(56 eyes; 63%), eyelid contact dermatitis(26 eyes; 29%), conjunctivitis(19 eyes; 21%), reactive eyelid edema(13 eyes; 15%), ocular surface foreign bodies(12 eyes; 14%), bacterial infection of the palpebral margin(10 eyes; 11%), and others(5 eyes; 6%). These 5 eyes included 1 eye(1%)with central retinal artery occlusion caused by periocular injection of hyaluronic acid. The majority of patients(74 eyes)recovered within 1-2 wk with appropriate treatment, while filamentosa keratitis appeared in 3 eyes and the eye with central retinal artery occlusion had poor prognosis.CONCLUSIONS: COD predominantly occurs in young and middle-aged females with cosmetology experience. The most common cosmetology procedure leading to COD is eyeliner tattooing, and corneal damage is the most significant type of COD. COD can be effectively prevented and treated, resulting in a generally favorable prognosis.

Objective To investigate the risk factors for complications within 1 year after carotid artery stenting(CAS),construct a prediction model for these complications based on the identi-fied risk factors,and then validate the efficacy of the model.Methods A retrospective trial was conducted on 313 patients undergoing CAS in our hospital between January 2017 and December 2021.Based on the sequence of postoperative follow-up visits,these patients were categorized into a modeling group(235 cases)and a validation group(78 cases)in a ratio of 3∶1,and the patients of the modeling group was further assigned into non-complication(182 cases)and complication subgroups(53 cases).The general data were compared between the modeling and balidation groups,and univariate and multivariate logistic regression analyses were applied to identify risk factors for the risk factors for the complications,and then a prediction model was constructed using logistic scoring.ROC curve analysis was employed to evaluate the performance of the model by using AUC value.Results Multivariate logistic regression analysis revealed that non-compli-ance with antiplatelet medication(OR=65.656,95％CI:12.052-357.683,P=0.000),and abnor-mal BMI(OR=2.298,95％CI:1.023-5.163,P=0.044),cigarette history(OR=5.965,95％CI:2.527-14.079,P=0.000),and high LDL-C(OR=6.290,95％CI:1.828-21.645,P=0.004)were independent risk factors for complications occurrence within 1 year after CAS surgery.The AUC value was 0.827 for the modeling group and 0.806 for the validation group.Conclusion Non-com-pliance to antiplatelet medication,abnormal BMI,smoking history,and high LDL-C level are inde-pendent risk factors for complications occurrence within 1 year after CAS.Our developed ABCD risk prediction model demonstrates good discrimination and accuracy,and can provide valuable guid-ance for the early identification and prevention of complications following CAS surgery in clinical practice.

Objective:To assess the merits and demerits of placing small-sized tube as drainage compared with traditional drainage in patients after uniportal thoracoscopic lung wedge-resection.Methods:Patients who received uniportal video-assisted thoracoscopic surgery (U-VATS) lung wedge-resection were identified in our database. Patients placed small-sized tube drainage were compared with those placed traditional 28 Fr chest tube in terms of characteristics, perioperative outcomes. Propensity score matching was performed to balance the baseline of the patients.Results:Of the 178 enrolled patients, 121 were assigned to conventional tube group and 57 were assigned to small-sized tube group. After matching, 36 pairs of patients from the two groups were selected for statistical comparison. Compared with the traditional drainage group, the operation duration of the small-sized tube group was shorter[0.83(0.75, 1.04)h vs.1.08(0.96, 1.41)h, P=0.003], intraoperative blood loss was less [5(5, 10) ml vs. 10(7.5, 10) ml, P=0.001), postoperative total drainage volume was less[67.5(30, 190)ml vs.175(120, 365)ml, P<0.001], and postoperative pain score was lower[0.3(0.3, 0.7) vs.0.7(0.3, 2.2), P<0.05]. No significant difference was observed in the incidence of small amount of pneumothorax or small amount of pleural effusion before extubation between the two groups. The incidence of postoperative complications was relatively low and there was no significant difference between the two groups. Conclusion:Compared to conventional chest tube, small-sized tube for postoperative drainage after U-VATS lung wedge-resection, may be a feasible and promising approach to reduce postoperative pain and promote recovery.

Objective: To clarify the phenotypes of the newborns with SLC26A4 single-allele mutation in deafness genetic screening and second variant; to analyze the SLC26A4 genotype and hearing phenotype. Methods: 850 newborns born in Beijing from April 2015 to December 2019 were included and there were 468 males and 382 females. They received genetic deafness screening for 9 or 15 variants, with the result of SLC26A4 single-allele mutation. Firstly, three step deafness gene sequencing was adopted in this work, i.e., the first step was "SLC26A4 gene whole exons and splice sites" sequencing; the second step was "SLC26A4 gene promoter, FOXI1 gene and KCNJ10 gene whole exons" sequencing; and the third step was detection for "SLC26A4 gene copy number variation". Secondly, we collected the results of newborn hearing screening for all patients with the second mutation found in the three step test, and conducted audiological examinations, such as acoustic immittance, auditory brainstem response and auditory steady state response. Thirdly, for novel/VUS mutations, we searched the international deafness gene database or software, such as DVD, ClinVar and Mutation Taster, to predict the pathogenicity of mutations according to the ACMG guideline. Lastly, we analyzed the relationship between genotype and phenotype of newborns with SLC26A4 single allele mutation. Results: Among 850 cases, the median age of diagnosis was 4 months. In the first step, 850 cases were sequenced. A total of 32 cases (3.76%, 32/850) of a second variants were detected, including 18 cases (2.12%, 18/850) with identified pathogenic variants; 832 cases were sequenced and 8 cases of KCNJ10 gene missense variants were detected among the second step. No missense mutations in the FOXI1 gene and abnormal SLC26A4 gene promoter were detected; the third step sequencing results were all negative. Genotypes and hearing phenotypes included 18 cases combined with the second clear pathogenic variant, 16 cases (16/18) referred newborn hearing screening and 2 cases (2/18) passed in both ears; degree of hearing loss consisted of 18 profound ears (18/36), 13 severe ears (13/36) and 5 moderate ears (5/36); audiogram patterns comprised 17 high frequency drop ears (17/36), 14 flat ears (14/36), 3 undistinguished ears (3/36), and 2 U shaped ears (2/36); 11 cases underwent imaging examination, all of which were bilateral enlarged vestibular aqueduct. As for 22 cases of other genotypes, all passed neonatal hearing screening and the hearing diagnosis was normal, including 9 cases with VUS or possibly novel benign variants, 8 cases with KCNJ10 double gene heterozygous variants, and 5 cases with double heterozygous variants. Conclusions: The probability of individuals with SLC26A4 single-allele variant who merge with a second pathogenic variant is 2.12%, all of which are SNV, which can provide scientific basis for the genetic diagnosis and genetic counseling of SLC26A4 variants. Those who have merged with second pathogenic variant are all diagnosed with sensorineural hearing loss. Patients with KCNJ10 gene mutations do not manifest hearing loss during the infancy, suggesting the need for further follow-up.
Female ; Humans ; Male ; Alleles ; Deafness/genetics* ; DNA Copy Number Variations ; Forkhead Transcription Factors/genetics* ; Genotype ; Hearing Loss/genetics* ; Hearing Loss, Sensorineural/genetics* ; Mutation ; Phenotype ; Sulfate Transporters/genetics* ; Vestibular Aqueduct ; Infant, Newborn ; Potassium Channels, Inwardly Rectifying/genetics*

Objective: To investigate the detection and diagnostic efficacy of chest radiographs for ≤30 mm pulmonary nodules and the factors affecting them, and to compare the level of consistency among readers. Methods: A total of 43 patients with asymptomatic pulmonary nodules who consulted in Cancer Hospital, Chinese Academy of Medical Sciences from 2012 to 2014 and had chest CT and X-ray chest radiographs during the same period were retrospectively selected, and one nodule ≤30 mm was visible on chest CT images in the whole group (total 43 nodules in the whole group). One senior radiologist with more than 20 years of experience in imaging diagnosis reviewed CT images and recording the size, morphology, location, and density of nodules was selected retrospectively. Six radiologists with different levels of experience (2 residents, 2 attending physicians and 2 associate chief physicians independently reviewed the chest images and recorded the time of review, nodule detection, and diagnostic opinion. The CT imaging characteristics of detected and undetected nodules on X images were compared, and the factors affecting the detection of nodules on X-ray images were analyzed. Detection sensitivity and diagnosis accuracy rate of 6 radiologists were calculated, and the level of consistency among them was compared to analyze the influence of radiologists' seniority and reading time on the diagnosis results. Results: The number of nodules detected by all 6 radiologists was 17, with a sensitivity of detection of 39.5%(17/43). The number of nodules detected by ≥5, ≥4, ≥3, ≥2, and ≥1 physicians was 20, 21, 23, 25, and 28 nodules, respectively, with detection sensitivities of 46.5%, 48.8%, 53.5%, 58.1%, and 65.1%, respectively. Reasons for false-negative result of detection on X-ray images included the size, location, density, and morphology of the nodule. The sensitivity of detecting ≤30 mm, ≤20 mm, ≤15 mm, and ≤10 mm nodules was 46.5%-58.1%, 45.9%-54.1%, 36.0%-44.0%, and 36.4% for the 6 radiologists, respectively; the diagnosis accuracy rate was 19.0%-85.0%, 16.7%-6.5%, 18.2%-80.0%, and 0%-75.0%, respectively. The consistency of nodule detection among 6 doctors was good (Kappa value: 0.629-0.907) and the consistency of diagnostic results among them was moderate or poor (Kappa value: 0.350-0.653). The higher the radiologist's seniority, the shorter the time required to read the images. The reading time and the seniority of the radiologists had no significant influence on the detection and diagnosis results (P>0.05). Conclusions: The ability of radiographs to detect lung nodules ≤30 mm is limited, and the ability to determine the nature of the nodules is not sufficient, and the increase in reading time and seniority of the radiologists will not improve the diagnostic accuracy. X-ray film exam alone is not suitable for lung cancer diagnosis.
Humans ; Retrospective Studies ; Solitary Pulmonary Nodule/diagnostic imaging* ; Radiography ; Multiple Pulmonary Nodules/diagnostic imaging* ; Tomography, X-Ray Computed/methods* ; Lung Neoplasms/diagnostic imaging* ; Sensitivity and Specificity ; Radiographic Image Interpretation, Computer-Assisted/methods*

Objective To investigate the impact of long non-coding RNA(LncRNA)taurine up-regulated gene 1(TUG1)on high glucose-induced cardiomyocyte apoptosis by regulating miR-181b-5p/programmed cell death protein 4(PDCD4)axis.Methods Diabetic cardiomyopathy(DCM)cell model was established in vitro with high glucose(HG,25 mmol/L glucose).AC16 cells were divided into the NG(5.5 mmol/L glucose)group,the HG group,the HG+sh-NC group,the HG+sh-TUG1 group,the HG+miR-NC group,the HG+miR-181b-5p group,the HG+sh-TUG1+anti-miR-NC group,the HG+sh-TUG1+anti-miR-181b-5p group,the HG+miR-181b-5p+pcDNA group and HG+miR-181b-5p+pc-PDCD4 group.The Cell Counting Kit-8(CCK-8)method was applied to detect cell viability.Lactate dehydrogenase(LDH)assay was applied to detect LDH release.Quantitative real-time polymerase chain reaction(qRT-PCR)was applied to detect expression levels of TUG1,miR-181b-5p and PDCD4 mRNA.Flow cytometry was applied to detect apoptosis.Western blot assay was applied to detect levels of B-cell lymphoma 2-associated X(Bax),activated caspase 3(cleaved caspase 3)and PDCD4 proteins.Caspase-Glo3 assay was applied to assess caspase 3 activity.Dual-luciferase reporter assay was applied to verify the targeting relationship between TUG1 or PDCD4 and miR-181b-5p.Results Compared with the NG group,the cell activity decreased in the HG group,and LDH release,apoptosis rate,Bax,cleaved caspase 3 expression and caspase 3 activity increased(P＜0.05),which could be antagonized by TUG1 knockdown or miR-181b-5p overexpression(P＜0.05).Inhibition of miR-181b-5p was able to alleviate the impact of TUG1 silencing on cardiomyocyte viability and apoptosis under high glucose treatment(P＜0.05).The overexpression of PDCD4 attenuated the promotion effect of miR-181b-5p up-regulation on the viability of cardiomyocytes treated with high glucose and the inhibitory effect on apoptosis.TUG1 was able to increase the expression of PDCD4 through adsorption of miR-181b-5p(P＜0.05).Conclusion TUG1 promotes high glucose-induced cardiomyocyte apoptosis by down-regulating miR-181b-5p and up-regulating PDCD4.

This study used machine learning techniques combined with routine blood cell analysis parameters to build preliminary prediction models, helping differentiate patients with depression from healthy controls, or patients with anxiety. A multicenter study was performed by collecting blood cell analysis data of Beijing Chaoyang Hospital and the First Hospital of Hebei Medical University from 2020 to 2021. Machine learning techniques, including support vector machine, decision tree, naïve Bayes, random forest and multi-layer perceptron were explored to establish a prediction model of depression. The results showed that based on the blood cell analysis results of healthy controls and depression group, the accuracy of prediction model reached as high as 0.99, F1 was 0.975. Receiver operating characteristic curve area and average accuracy were 0.985 and 0.967, respectively. Platelet parameters contributed mostly to depression prediction model. While, to random forest differential diagnosis model based on the data from depression and anxiety groups, prediction accuracy reached 0.68 and AUC 0.622. Age, platelet parameters, and average volume of red blood cells contributed the most to the model. In conclusion, the study researched on the prediction model of depression by exploring blood cell analysis parameters, revealing that machine learning models were more objective in the evaluation of mental illness.
Humans ; Depression ; Bayes Theorem ; Machine Learning ; Support Vector Machine ; Blood Cell Count