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Keloids are benign skin tumors resulting from the excessive proliferation of connective tissue in wound skin. Precise prediction of keloid risk in trauma patients and timely early diagnosis are of paramount importance for in-depth keloid management and control of its progression. This study analyzed four keloid datasets in the high-throughput gene expression omnibus (GEO) database, identified diagnostic markers for keloids, and established a nomogram prediction model. Initially, 37 core protein-encoding genes were selected through weighted gene co-expression network analysis (WGCNA), differential expression analysis, and the centrality algorithm of the protein-protein interaction network. Subsequently, two machine learning algorithms including the least absolute shrinkage and selection operator (LASSO) and the support vector machine-recursive feature elimination (SVM-RFE) were used to further screen out four diagnostic markers with the highest predictive power for keloids, which included hepatocyte growth factor (HGF), syndecan-4 (SDC4), ectonucleotide pyrophosphatase/phosphodiesterase 2 (ENPP2), and Rho family guanosine triphophatase 3 (RND3). Potential biological pathways involved were explored through gene set enrichment analysis (GSEA) of single-gene. Finally, univariate and multivariate logistic regression analyses of diagnostic markers were performed, and a nomogram prediction model was constructed. Internal and external validations revealed that the calibration curve of this model closely approximates the ideal curve, the decision curve is superior to other strategies, and the area under the receiver operating characteristic curve is higher than the control model (with optimal cutoff value of 0.588). This indicates that the model possesses high calibration, clinical benefit rate, and predictive power, and is promising to provide effective early means for clinical diagnosis.
Subject(s)
Humans , Keloid/genetics , Nomograms , Algorithms , Calibration , Machine LearningABSTRACT
【Objective】 To compare the efficacy of percutaneous vertebroplasty （PVP） and facet blocking （FB） in the treatment of osteoporotic vertebral compression fractures. 【Methods】 From January 2015 to June 2019， 162 patients with osteoporotic vertebral compression fracture were treated with PVP and FB. Among them， PVP group （86 cases） received PVP treatment and FB group （76 cases） received FB treatment. We compared the perioperative related indexes， the height of the anterior edge of the injured vertebrae， the sagittal kyphosis Cobb angle， visual analogue score， dysfunction index and lumbar dysfunction score of preoperative and postoperative follow-up （1 day， 1 week， 1 month， 3 months， 6 months， and 12 months） in both groups. 【Results】 There was significant difference in operation time between PVP group ［（34.25±6.04）min）］ and FB group ［（21.47±4.58）min］ （P0.05）， but there was significant difference in the height of anterior margin of injured vertebrae between the two groups at 3 days， 6 months and 12 months after operation （P0.05）， but after operation（P0.05）. 【Conclusion】 Both PVP group and FB group have effectively relieved pain. The results of this study suggest that FB can become an alternative treatment for PVP in some patients， such as the poor， elderly and pain-tolerant ones.
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Objective To understand the influence of chronic diseases on the risk of impaired activities of daily living (ADL) of the elderly.Methods Baseline data of 10 501 elderly individuals recruited by the Chinese Longitudinal Healthy Longevity Survey in 2002 were used,and follow up for this population was conducted until 2014.Cox Proportional Hazard Model was used to estimate the hazards ratios (HR) for the associations between five kinds of chronic diseases,the number of chronic diseases and the risk of ADL impairment in different age groups of the elderly.Results Hypertension increased the risk of ADL impairment in the elderly of all age groups,which increased the ADL impaired risk by 43％ (HR=1.43,95％CI:1.14-1.79) in group aged 65-74 years,21％ (HR=1.21,95％CI:1.02-1.43) in group aged 75-89 years and 20％ (HR=1.20,95％CI:1.02-1.43) in group aged 90-105 years,respectively.Diabetes and cerebrovascular disease increased the ADL impaired risk by 102％(HR=2.02,95％CI:1.29-3.17),and 79％ (HR=1.79,95％CI:1.24-2.58) in group aged 65-74 years,respectively.'Suffering from one chronic disease'increased the ADL impaired risk by 13％ (HR=1.13,95％CI:1.02-1.25),and suffering from two or more chronic diseases increased the ADL impaired risk by 25％ (HR=1.25,95％CI:1.13-1.40) in all the age groups.Suffering from two or more chronic diseases increased the ADL impaired risk by 50％ (HR=1.50,95％CI:1.21-1.87) in group aged 65-74 years and 17％ (HR=1.17,95％CI:1.01-1.38) in groups aged 75-89 years.Conclusions Hypertension was one of the most important risk factors for the impaired ADL in the elderly population in all age groups.Hypertension,diabetes,cerebrovascular disease or comorbidity increased the risk of impaired ADL in group aged 65-74 years.
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Objective To understand the influence of chronic diseases on the risk of impaired activities of daily living (ADL) of the elderly.Methods Baseline data of 10 501 elderly individuals recruited by the Chinese Longitudinal Healthy Longevity Survey in 2002 were used,and follow up for this population was conducted until 2014.Cox Proportional Hazard Model was used to estimate the hazards ratios (HR) for the associations between five kinds of chronic diseases,the number of chronic diseases and the risk of ADL impairment in different age groups of the elderly.Results Hypertension increased the risk of ADL impairment in the elderly of all age groups,which increased the ADL impaired risk by 43％ (HR=1.43,95％CI:1.14-1.79) in group aged 65-74 years,21％ (HR=1.21,95％CI:1.02-1.43) in group aged 75-89 years and 20％ (HR=1.20,95％CI:1.02-1.43) in group aged 90-105 years,respectively.Diabetes and cerebrovascular disease increased the ADL impaired risk by 102％(HR=2.02,95％CI:1.29-3.17),and 79％ (HR=1.79,95％CI:1.24-2.58) in group aged 65-74 years,respectively.'Suffering from one chronic disease'increased the ADL impaired risk by 13％ (HR=1.13,95％CI:1.02-1.25),and suffering from two or more chronic diseases increased the ADL impaired risk by 25％ (HR=1.25,95％CI:1.13-1.40) in all the age groups.Suffering from two or more chronic diseases increased the ADL impaired risk by 50％ (HR=1.50,95％CI:1.21-1.87) in group aged 65-74 years and 17％ (HR=1.17,95％CI:1.01-1.38) in groups aged 75-89 years.Conclusions Hypertension was one of the most important risk factors for the impaired ADL in the elderly population in all age groups.Hypertension,diabetes,cerebrovascular disease or comorbidity increased the risk of impaired ADL in group aged 65-74 years.
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Objective@#To explore the spatial distribution of low birth weight (LBW) and the potential environmental risk factors and provide the evidence for the prevention and intervention of LBW.@*Methods@#Data were from a surveillance system for newly born population and adverse pregnancy outcome between 2007 and 2012 in Pingding county, Shanxi province. The data from 313 villages were analyzed. Spatial hierarchical Bayesian model was used to adjust the risk of LBW at village level, Moran’s I and Getis-Ord Gi* were used to analyze the difference in distribution of LBW risk area. Spatial negative binomial model was used to evaluate the association between the risk of LBW and chemical fertilizer application.@*Results@#A total of 18 749 new births were recorded between 2007 and 2012, including 911 LBW cases, the total incidence of LBW was 4.86%. The result of the spatial hierarchical Bayesian model showed that high-risk area of LBW was in the southeast of Pingding and low-risk area was in the middle west of Pingding. The result of Moran’s I showed that there was a clustering pattern of LBW risk, and Getis-Ord Gi* found a high risk (hot spot) area in the south area. Moreover, the findings of association analysis showed that the risk of LBW increased with the increased chemical fertilizer application at village level.@*Conclusions@#There were area specific differences in the risk of LBW, and dose-response relationship between chemical fertilizer application and the risk of LBW. Our findings suggest that maternal exposure to chemical fertilizer during pregnancy might be a potential risk factor for LBW in rural area.
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The principle of human respiratory function test is decleared. The innovative testing parameters is proposed to optimize traditional calculation parameters based on a respiratory function test of one-time max respiratory flow and pressure. The parameters of respiratory function evaluation was preliminarily verified, and we have already got the expected experimental result. The research can be a valuable reference for the following respiratory function test in future.
Subject(s)
Humans , Algorithms , Respiratory Function TestsABSTRACT
@#ObjectiveTo analyze the relationship of depression after stroke with the location of lesion and the leve l of central nervous system (CNS) damage, and evaluate the treatment effect.Methods86 stroke patients were evaluated by Zung's self-rating depression scale (SDS). If SDS score ≥50 points, the patient was s elected as subjects for this study and treated with fluoxetine. The relationship of depression with the location of lesion and the level of CNS damage, and the treatment effect were analyzed.ResultsThere were 3 4 cases evaluated as depression (with 27 light depressive cases, 7 moderate depr essive and severe depressive cases). The symptom of depression has a positive co rrelation to the damage level (P<0.05). The depression inci dence of patients with acute sub-cortex stroke is higher than that of cerebral cortex and cerebellum stroke (P<0.01). Fluoxetine has a goo d effect on depression after stroke.Conclusions Th e symptom of depression after stroke has a positive correlation to the damage le vel. Fluoxetine has a good effect on depression after stroke.
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<p><b>BACKGROUND</b>To explore the application value of MR dynamic time-resolved subtracted imaging in qualitative and quantitative assessment of blood supply by systemic artery in patients with lung cancer.</p><p><b>METHODS</b>A prospective study using MR FSPGR pulse sequence dynamic scan after contrast enhancement was undertaken in fifty-one patients with lung cancer which were proved by cytology or/and histology. The time-resolved subtracted imaging were acquired using the pre- and post-enhanced images in different phases of pulmonary circulation during the first-pass period (FPP) of contrast agent. The time-signal curves of FPP at four ROI placed on pulmonary artery (PA), descending aorta (DA), mass (M) and contralateral pulmonary parenchyma (PP), and the ST (start-time) and PT (peak-time) of those four ROI were measured. The enhancement ratio of the signals of M/PP at PA/DA peak time (E MP , E MA , E PP , E PA ) were calculated.</p><p><b>RESULTS</b>According to the time-resolved subtracted imaging during PA phase, intensity of the signal was low in 7 cases, medium in 2, but not enhanced in other 42 cases. All the 51 cancer masses were remarkably enhanced during DA phase. During FPP, the ST [(5.90±0.51)s] and PT [(12.75±0.67)s] of PP were slightly later than the ST [(4.19±0.43)s] and PT [(10.59±0.66)s] of PA, while the ST [(11.03±0.80)s] and PT [(33.62±3.06)s] of cancer masses were later than ST [(9.43±0.59)s] and PT [(19.81±4.14)s] of DA. E MA was significantly higher than E MP (91.47%±18.83% vs 15.38%±11.03%, P < 0.001), while E PP were remarkably higher than E PA (273.83%±48.60% vs 140.65%±24.40%, P < 0.001).</p><p><b>CONCLUSIONS</b>MR dynamic time-resolved subtracted imaging is feasible to be a non-invasive technique in qualitative and relatively quantitative assessment of blood supply by systemic artery in patients with lung cancer.</p>
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<p><b>BACKGROUND</b>To explore the application of MR time-resolved subtracted perfusion imaging to qualitatively and partially quantitatively evaluate blood supply by pulmonary artery in patients with peripheral type lung cancer.</p><p><b>METHODS</b>Twenty-three patients with peripheral type lung cancer proved cytologically or/and histologically underwent MR perfusion study. The time-resolved subtracted imaging which provided the perfusion images in different phases were performed. First-pass time-signal intensity curves of pulmonary artery, descending aorta, lung mass were obtained respectively, and start-time and peak-time of them were compared. The signal enhanced ratio of the masses in pulmonary artery and aorta perfusion phases were calculated respectively.</p><p><b>RESULTS</b>Fourteen masses began to enhance during pulmonary circulation phase and reached peak value during systematic-circulation phase, and the average signal change ratio during pulmonary circulation phase was much smaller than that during systematic-circulation phase, indicating their blood supply came both from pulmonary and systematic blood circulation, but mainly from the latter. Seven masses began to enhance and reached peak value during systematic-circulation phase, indicating their blood supply came mainly from systematic blood circulation. Two masses began to enhance and reached peak value during pulmonary-circulation phase, indicating their blood supply came mainly from pulmonary blood circulation.</p><p><b>CONCLUSIONS</b>MR dynamic time-resolved subtracted perfusion imaging is feasible to qualitatively and relatively quantitatively evaluate blood supply of pulmonary artery for peripheral type lung cancer.</p>