Objective To analyze the differences in microbial communities in bronchoalveolar lavage fluid (BALF) from patients with simple pneumonia versus those with chronic obstructive pulmonary disease (COPD) combined with lower respiratory tract infection using metagenomic next-generation sequencing (mNGS). Methods Patients hospitalized for pulmonary infections at the First Affiliated Hospital of Xinjiang Medical University between December 2021 and March 2023 were included. Based on the presence of COPD, the patients were divided into two groups: those with simple pneumonia and those with COPD combined with lower respiratory tract infection. mNGS was employed to detect microbes in BALF, and the microbial community distribution characteristics of the two groups were analyzed. Results A total of 97 patients were included, of whom 80 (81.82%) had positive microbial detection results. The smoking index in COPD group with lower respiratory tract infection was significantly higher than that in the group with simple pneumonia (t= ?3.62, P=0.001). Differences in microbial community distributions were observed between the groups. At the genus level, 19 species of microorganisms were detected in the simple pneumoniapulmonary infection group, including 8 bacteria (42.11%), 2 fungi (10.53%), 3 viruses (15.79%), and 6 other types of microorganisms (31.58%). In contrast, 22 types of microbes were detected in COPD group with lower respiratory tract infection, including 10 bacteria (47.62%), 3 fungi (14.29%), 4 viruses (19.05%), and 4 other types of microorganisms (19.05%). Differences were also noted in reads per million (RPM) values; bacterial RPM values at the genus level were significantly higher in the COPD group during non-severe pneumonia compared to the simple pneumonia group (Z=–2.706, P=0.007). In the patients with severe pneumonia, RPM values at the genus and species levels were significantly higher than those in non-severe pneumonia (Z=?2.202, P=0.028; Z=?2.141, P=0.032). In COPD combined with severe pneumonia, bacterial RPM values were significantly higher at the species level compared to non-severe pneumonia (Z=?2.367, P=0.017). ConclusionsThere are differences in the distribution of microbial communities at the genus and species levels in BALF from patients with COPD combined with lower respiratory tract infection compared to those with simple pulmonary pneumonia. Bacteria are the predominant microbial type in both groups, but the dominant bacterial species differ between them. Simple pneumonia are primarily associated with bacterial, viral, and other types of microbial infections, while COPD combined with lower respiratory tract infection is predominantly associated with fungal and bacterial infections. RPM values may serve as an indicator of the severity of pneumonia.
Acute zonal occult outer retinopathy (AZOOR) is an acquired retinal diseases. The majority of patients who develop AZOOR are women characterized by an acute onset of visual blurred and scotoma with photopsias. The fundus examination is often normal or appeared mild abnormal. The RPE atrophy of fundus is similar with white syndrome. Although FFA and ICGA features are either unremarkable or unrelated to AZOOR, there are still important in differential diagnosis. The characteristic abnormalities appearance of FAF (complicated and varied), OCT (regional anomaly of ellipsoid zone), visual field (visual field defect) and ERG (decreased amplitude and prolonged latency of rod reaction, maximum reaction, cone reaction and scintillation reaction) are considered critical examinations to the diagnosis of AZOOR. Although there is no effective therapy for AZOOR, it has some self-limitation.
Missing data represent a general problem in many scientific fields, especially in medical survival analysis. Dealing with censored data, interpolation method is one of important methods. However, most of the interpolation methods replace the censored data with the exact data, which will distort the real distribution of the censored data and reduce the probability of the real data falling into the interpolation data. In order to solve this problem, we in this paper propose a nonparametric method of estimating the survival function of right-censored and interval-censored data and compare its performance to SC (self-consistent) algorithm. Comparing to the average interpolation and the nearest neighbor interpolation method, the proposed method in this paper replaces the right-censored data with the interval-censored data, and greatly improves the probability of the real data falling into imputation interval. Then it bases on the empirical distribution theory to estimate the survival function of right-censored and interval-censored data. The results of numerical examples and a real breast cancer data set demonstrated that the proposed method had higher accuracy and better robustness for the different proportion of the censored data. This paper provides a good method to compare the clinical treatments performance with estimation of the survival data of the patients. This provides some help to the medical survival data analysis.
The research on brain functional mechanism and cognitive status based on brain network has the vital significance. According to a time–frequency method, partial directed coherence (PDC), for measuring directional interactions over time and frequency from scalp-recorded electroencephalogram (EEG) signals, this paper proposed dynamic PDC (dPDC) method to model the brain network for motor imagery. The parameters attributes (out-degree, in-degree, clustering coefficient and eccentricity) of effective network for 9 subjects were calculated based on dataset from BCI competitions IV in 2008, and then the interaction between different locations for the network character and significance of motor imagery was analyzed. The clustering coefficients for both groups were higher than those of the random network and the path length was close to that of random network. These experimental results show that the effective network has a small world property. The analysis of the network parameter attributes for the left and right hands verified that there was a significant difference on ROI2 (P = 0.007) and ROI3 (P = 0.002) regions for out-degree. The information flows of effective network based dPDC algorithm among different brain regions illustrated the active regions for motor imagery mainly located in fronto-central regions (ROI2 and ROI3) and parieto-occipital regions (ROI5 and ROI6). Therefore, the effective network based dPDC algorithm can be effective to reflect the change of imagery motor, and can be used as a practical index to research neural mechanisms.
ObjectiveStudy how to quantify the bias of each study and how to estimate them. MethodIn the random-effect model, it is commonly assumed that the effect size of each study in meta-analysis follows a skew normal distribution which has different shape parameter. Through introducing a shape parameter to quantify the bias and making use of Markov estimation as well as maximum likelihood estimation to estimate the overall effect size, bias of each study, heterogeneity variance. ResultIn simulation study, the result was closer to the real value when the effect size followed a skew normal distribution with different shape parameter and the impact of heterogeneity of random effects meta-analysis model based on the skew normal distribution with different shape parameter was smaller than it in a random effects metaanalysis model. Moreover, in this specific example, the length of the 95%CI of the overall effect size was shorter compared with the model based on the normal distribution. ConclusionIncorporate the bias of each study into the random effects meta-analysis model and by quantifying the bias of each study we can eliminate the influence of heterogeneity caused by bias on the pooled estimate, which further make the pooled estimate closer to its true value.
ObjectiveTo investigate the clinical characteristics and contribution factors in severe coronavirus disease 2019 (COVID-19).MethodsThe clinical symptoms, laboratory findings, radiologic data, treatment strategies, and outcomes of 110 COVID-19 patients were retrospectively analyzed in these hospitals from Jan 20, 2020 to Feb 28, 2020. All patients were confirmed by fluorescence reverse transcription polymerase chain reaction. They were classified into a non-severe group and a severe group based on their symptoms, laboratory and radiologic findings. All patients were given antivirus, oxygen therapy, and support treatments. The severe patients received high-flow oxygen therapy, non-invasive mechanical ventilation, invasive mechanical ventilation or extracorporeal membrane oxygenation. The outcomes of patients were followed up until March 15, 2020. Contribution factors of severe patients were summarized from these clinical data.ResultsThe median age was 50 years old, including 66 males (60.0%) and 44 females (40.0%). Among them, 45 cases (40.9%) had underlying diseases, and 108 cases (98.2%) had different degrees of fever. The common clinical manifestations were cough (80.0%, 88/110), expectoration (33.6%, 37/110), fatigue (50.0%, 55/110), and chest tightness (41.8%, 46/110). Based on classification criteria, 78 (70.9%) non-severe patients and 32 (29.1%) severe patients were identified. Significant difference of the following parameters was found between two groups (P<0.05): age was 47 (45, 50) years vs. 55 (50, 59) years (Z=–2.493); proportion of patients with underlying diseases was 27 (34.6%) vs. 18 (56.3%) (χ2=4.393); lymphocyte count was 1.2 (0.9, 1.5)×109/L vs. 0.6 (0.4, 0.7)×109/L (Z=–7.26); C reactive protein (CRP) was 16.2 (6.5, 24.0) mg/L vs. 45.3 (21.8, 69.4) mg/L (Z=–4.894); prothrombin time (PT) was 15 (12, 19) seconds vs. 18 (17, 19) seconds (Z=–2.532); D-dimer was 0.67 (0.51, 0.82) mg/L vs. 0.98 (0.80, 1.57) mg/L (Z=–5.06); erythrocyte sedimentation rate (ESR) was 38.0 (20.8, 59.3) mm/1 h vs. 75.5 (39.8, 96.8) mm/1 h (Z=–3.851); lactate dehydrogenase (LDH) was 218.0 (175.0, 252.3) U/L vs. 325.0 (276.5, 413.5) U/L (Z=–5.539); neutrophil count was 3.1 (2.1, 4.5)×109/L vs. 5.5 (3.7, 9.1)×109/L (Z=–4.077). Multivariable logistic analysis showed that there was positive correlation in elevated LDH, CRP, PT, and neutrophil count with the severity of the disease. Currently, 107 patients were discharged and 3 patients died. Total mortality was 2.7%.ConclusionsOld age, underlying diseases, low lymphocyte count, elevated CPR, high D-dimer and ESR are relevant to the severity of COVID-19. LDH, CPR, PT and neutrophil count are independent risk factors for the prognosis of COVID-19.
Objective To study the clinical significance of DNA content and expression of nm23-H1, C-erb B-2 and p53 oncoproteins in hepatocellular carcinoma. Methods DNA content was measured after DNA feulgen’s dyeing, the expression of nm23-H1, C-erb B-2 and p53 oncoproteins was detected immunohistochemically. Results The incidence of aneuploid DNA content was 50.0% (12/24) in ≤5 cm group, and was 82.1% (23/28) in ＞5cm group; aneuploid DNA content was related with liver metastasis and cancerous thrombosis. The expression of nm23-H1 in HCC with liver metastasis was higher than that without metastasis. The positive rate of p53 in HCC with canerous thrombosis was higher than that without cancerous thrombosis. The positive rates of nm23-H1 and p53 in HCC with aneuploid DNA content were higher than those with diploid DNA content. The positive rate of C-erb B-2 did not have significantly difference between groups. Postoperative survival rates were possibly related with DNA content as well as expression of nm23-H1, and p53 oncoproteins. Conclusion Aneuploid DNA conten, expression of nm23-H1 and p53 oncoproteins are closely related with the invasiveness of HCC, and have remarkably clinical significance.
ObjectiveTo compare the effectiveness of transosseous tunnel fixation and drilling fixation for repair of lateral collateral ligament complex (LCLC) in treatment of terrible triad of elbow (TTE).MethodsA clinical data of 50 patients with TTE between June 2012 and January 2018 were retrospectively analyzed. The LCLC was repaired with transosseous tunnel fixation in 22 patients (transosseous tunnel fixation group) and with drilling fixation in 28 patients (drilling fixation group). There was no significant difference between the two groups (P>0.05) in gender, age, fracture side, time from injury to admission, coronoid process fracture classification, radial head fracture classification, and TTE classification. The operation time, intraoperative blood loss, fracture healing time, and complications of the two groups were recorded. At last follow-up, the Mayo elbow performance system (MEPS) score, range of motion of elbow joint, and Broberg-Morrey classification were recorded.ResultsThe operation of two groups were successfully completed. There was no significant difference in the operation time and intraoperative blood loss between the two group (P>0.05). The follow-up time was (24.43±6.84) months in the transosseous tunnel fixation group and (21.55±6.16) months in the drilling fixation group, and the difference was not significant (t=1.534, P=0.132). X-ray films showed that the coronoid process and radial head fractures in the two groups healed, and there was no significant difference in the healing time (P>0.05). At last follow-up, there was no significant difference in the flexion-extension activity, rotation activity, MEPS score, and Broberg-Morrey grading (P>0.05). During the follow-up, there was no re-dislocation or instability of the elbow joint. The incidence of complication was 28.57% (8/28) in the transosseous tunnel fixation group and 27.27% (6/22) in the drilling fixation group, showing no significant difference (χ2=2.403, P=0.121).ConclusionBoth transosseous tunnel fixation and drilling fixation can achieve good results in repair of LCLC for TTE.
ObjectiveTo observe the volume and distribution of necrotic tissue of femoral head in steroid-induced osteonecrosis of femoral head (SONFH) patients by three-dimensional reconstruction of CT.MethodsA clinical data of 25 patients with SONFH between September 2016 and December 2018 was analyzed. There were 22 males and 3 females, with an average age of 38.8 years (range, 20-63 years). The necrosis of the femoral head was in stage Ⅱ of Association Research Circulation Osseous (ARCO). The disease duration ranged from 3 to 18 months, with an average of 9.2 months. A three-dimensional reconstruction with CT data of SONFH patients were performed by Mimics Research 21.0 software and the femoral head was segmented into eight regions by 3-matic Research 13.0 software. The volume of necrotic tissue of the femoral head and the volume rate of necrotic tissue to femoral head were calculated and the distribution was also analyzed.ResultsThe three-dimensional digital model of the femoral head showed that the necrotic tissue of the femoral head was located above the anterior superior medial, and the area of the necrotic tissue was in a dome-like shape. The results showed that the necrotic tissue in the femoral head was mainly concentrated on the anterior superior internal area, the anterior superior outer area, and the posterior superior internal area. The volume of femoral head was (48 399.52±9 408.90) mm3, and the volume of necrotic tissue was (20 917.08±6 566.94) mm3, and the volume ratio of necrotic tissue to femoral head was 44.75%±15.72%. The proportion of necrotic volume in different regions was different, and the necrotic tissues were mainly distributed in the anterior superior internal area, the anterior superior outer area, and the posterior superior internal area.ConclusionThe volume and distribution of necrotic tissue in femoral head can be evaluated quickly and intuitively by three-dimensional reconstruction of CT in Mimics software.
Electrical impedance tomography (EIT) is a new non-invasive functional imaging technology, which has the advantages of non-invasion, non-radiation, low cost, fast response, portability and visualization. In recent years, more and more studies have shown that EIT has great potential in the detection of lung diseases and has been applied to early diagnosis and treatment of some diseases. This paper introduced the basic principle of EIT, discussed the research and clinical application of EIT in the detection of acute respiratory distress syndrome, chronic obstructive pulmonary disease, pneumothorax and pulmonary embolism, and focused on the summary and introduction of indicators and functional images of EIT related to the detection of lung diseases. This review will help medical workers understand and use EIT, and promote the further development of EIT in lung diseases as well as other fields.