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MicroRNAs (miRNAs) play a crucial role in gene regulation and the development of keloid. This research aimed to identify and verify miRNAs associated with keloids by microarray analysis and in vitro experiments, shedding light on seeking for potential therapeutic molecular targets. In this study, the weighted gene co-expression network analysis was performed based on the GSE113620. The key miRNA module most relevant to the keloid was further screened to identify hub miRNAs, and then hub miRNAs was verified by the microarray analysis and qRT-PCR experiments. Additionally, targeted genes of hub miRNAs were predicted and verified. Gene ontology (GO) analysis and KEGG enrichment analysis were also conducted. Five miRNA modules were divided, and the blue module exhibited the highest correlation with keloids. Then, hsa-miR-127-3p, hsa-miR-214-3p, hsa-miR-155-5p, hsa-miR-409-5p, and hsa-miR-542-5p were identified as the hub miRNAs. Subsequently, the microarray analysis and qRT-PCR results demonstrated that the expression of five miRNAs were upregulated in keloid tissues. The GO analysis revealed that the target genes of these miRNAs were mainly enriched in biological processes including gene transcription, protein phosphorylation and the MAPK (mitogen-activated protein kinase) cascade, and the KEGG pathway enrichment analysis showed that the PI3K-AKT signaling pathway were significantly enriched. In conclusion, these five miRNAs (hsa-miR-127-3p, hsa-miR-155-5p, hsa-miR-214-3p, hsa-miR-409-5p, and hsa-miR-542-5p) play vital roles in the pathogenesis of keloid and might be potential therapeutic targets. These miRNAs might regulate genes enriched in gene transcription, protein phosphorylation, the MAPK cascade, and the PI3K-Akt signaling pathway.
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BACKGROUND: Due to several factors that affect photograph quality, bias is inevitably present in two-dimensional (2D) breast photography. The principal variables affecting image performance at a fixed focus length are the distance between the camera and the subjects and the photography angles. OBJECTIVE: This study aimed to investigate the effects of camera-to-subject distances and camera height on breast measurement parameters to understand the trend of breast deformation and provide guidance for the accurate evaluation of planar follow-up. METHODS: We enlisted 16 volunteers with various breast cup sizes (A-D). Frontal and lateral photos were obtained with a steady focus of 50 mm at distances between 1.10 m and 2.20 m and at heights between 30 cm above the nipple and 30 cm below the nipple at intervals of 10 cm. Two researchers independently evaluated each volunteer's breast aesthetic parameters, including 11 linear parameters, 3 area parameters, and 3 ratio parameters, using Vernier calipers and Photoshop. RESULTS: The correlation coefficient of the two investigators ranged from 0.922 to 0.999. The results measured by Photoshop were 29.67 ± 5.23% greater than those of the Vernier caliper (p < 0.01). In contrast to ratio parameters, which showed no significant changes in each distance group (p = 1.00), linear parameters and area parameters significantly increased as object distance decreased (p < 0.05). The lower pole of the breast grew wider and flatter and occupied a larger proportion of the breast as height declined. CONCLUSION: Camera-to-subject distances of 1.5-1.7 m are recommended for stabilized and uniform breast photography. Varying shooting height affects breast distortion. Quantifying the relationship between photographic conditions and breast morphology enables plastic surgeons to conduct more comprehensive and accurate assessments. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266. Bullet point list: 1. The breast morphology will get more distortion with a smaller camera-to-subject distance. 2. Camera-to-subject distances of 1.5~1.7m are recommended for stabilized and uniform breast photography. 3. Height rather than distance affects the breast proportion.
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Background: Carpal Tunnel Syndrome (CTS) is one of the most common peripheral neuropathies. The typical symptoms are tingling and numbness in the median nerve distribution of the hand. Current treatment for CTS includes general conservative treatment and surgical treatment. Surgical treatment plays a crucial role in the management of CTS, but little bibliometric analysis has been conducted on it. Therefore, this study aimed to map the literature co-citation network using CiteSpace (6.1 R4) software. Research frontiers and trends were identified by retrieving subject headings with significant changing word frequency trends, which can be used to predict future research advances in the surgical treatment of CTS. Methods: Publications on the surgical treatment of CTS in the Web of Science database were collected between 2003 and 2022. CiteSpace software was applied to visualize and analyze publications, countries, institutions, journals, authors, references, and keywords. Results: A total of 336 articles were collected, with the USA being the major publishing power in all countries/regions. JOURNAL OF HAND SURGERY AMERICAN VOLUME was the journal with the most published and co-cited articles. Based on keyword and reference co-citation analysis, keywords such as CTS, surgery, release, median nerve, and diagnosis were the focus of the study. Conclusion: The results of this bibliometric study provide clinical research advances and trends in the surgical treatment of patients with CTS over the past 20 years, which may help researchers to identify hot topics and explore new directions for future research in the field.
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Massive open online courses (MOOC) are free learning courses based on online platforms for higher education, which not only promote the open sharing of learning resources, but also lead to serious information overload. However, there are many courses on MOOCs, and it can be difficult for users to choose courses that match their individual or group preferences. Therefore, a combined weighting based large-scale group decision-making approach is proposed to implement MOOC group recommendations. First, based on the MOOC operation mode, we decompose the course content into three stages, namely pre-class, in-class, and post-class, and then the curriculum-arrangement-movement- performance evaluation framework is constructed. Second, the probabilistic linguistic criteria importance through intercriteria correlation method is employed to obtain the objective weighting of the criterion. Meanwhile, the word embedding model is utilized to vectorize online reviews, and the subjective weighting of the criteria are acquired by calculating the text similarity. The combined weighting then can be obtained by fusing the subjective and objective weighting. Based on this, the PL-MULTIMIIRA approach and Borda rule is employed to rank the alternatives for group recommendation, and an easy-to-use formula for group satisfaction is proposed to evaluate the effect of the proposed method. Furthermore, a case study is conducted to group recommendations for statistical MOOCs. Finally, the robustness and effectiveness of the proposed approach were verified through sensitivity analysis as well as comparative analysis.
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Chronic subdural hematoma (CSDH) is a common type of intracranial hemorrhage in neurosurgical practice, whose incidence has increased markedly in recent years. However, CSDH still troubles clinicians with a high postoperative recurrence rate. The presence of eosinophils has been confirmed in some CSDH surgical specimens. Furthermore, postoperative residual hematoma has not been classified, and its association with the recurrence of CSDH remains unknown. The present study aimed to test the hypothesis that the peripheral blood eosinophils and the classification of postoperative residual hematoma are significant for the prediction of CSDH recurrence after burr-hole surgery. A retrospective review of 258 CSDH patients who received burr-hole surgery was performed. A complete blood picture with differential count was taken before surgery. Clinical, laboratory, and radiographic factors predicting CSDH recurrence were identified in univariable and multivariable analyses. Univariable analysis showed that the percentage of eosinophils, peripheral blood eosinophil count <0.15 × 109/L, gradation and separated types, postoperative volume of the residual cavity ≥70â ml, residual air volume ≥28â ml, residual hematoma volume ≥55â ml, residual hematoma width ≥1.4â cm, postoperative midline shift ≥5.6â mm, postoperative brain re-expansion rate <41%, postoperative low-density type, and postoperative high-density type correlated with the recurrence of CSDH. Multivariable analysis, however, showed that peripheral blood eosinophil count <0.15 × 109/L, gradation and separated types, preoperative midline shift ≥9.5â mm, postoperative brain re-expansion rate <41%, postoperative low-density type, and postoperative high-density type are independent predictors for the recurrence of CSDH. We expect that peripheral blood eosinophils and the classification of postoperative residual hematoma may facilitate our understanding of the recurrence of CSDH after initial surgery.
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Intracerebral hemorrhage (ICH) is a clinical syndrome in which blood accumulates in the brain parenchyma because of a nontraumatic rupture of a blood vessel. Because of its high morbidity and mortality rate and the lack of effective therapy, the treatment of ICH has become a hot research topic. Meanwhile, Oxidative stress is one of the main causes of secondary brain injury(SBI) after ICH. Therefore, there is a need for an in-depth study of oxidative stress after ICH. This review will discuss the pathway and effects of oxidative stress after ICH and its relationship with inflammation and autophagy, as well as the current antioxidant therapy for ICH with a view to deriving better therapeutic tools or targets for ICH.
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Background: The clinical TNM staging system does not differ between the 7th and 8th editions of the American Joint Committee on Cancer (AJCC) staging manual. A more practical TNM staging system for patients with stage I-III cutaneous melanoma are needed. Methods: Data were accessed from the Surveillance, Epidemiology, and End Results (SEER) open database. We divided the patients into 32 groups based on the T and N categories. The Kaplan-Meier survival curves and treatment guidelines were used to proposed a new TNM staging system. Cox proportional hazards model and 1000-person-years were used to verify accuracy. Results: This retrospective study included 68 861 patients from 2010 to 2015. The new proposed staging system was as follows: stage IA, T1aN0M0; stage IB, T1b/T2aN0M0; stage IIA, T3-4aN0M0 and T2bN0M0; stage IIB, T1-4aN1-2M0 and T3-4bN0M0; and stage III, T1-4aN3M0 and T1-4bN1-3M0. Hazard ratios for the new stages IB, IIA, IIB, and III, with stage IA as reference, were 4.311 (95% confidence interval [CI]: 3.217-5.778), 8.993 (95% CI: 6.637-12.186), 13.179 (95% CI: 9.435-18.407), and 20.693 (95% CI: 13.655-31.356), respectively (all p-values < 0.001). Cancer-specific mortality rates per 1000-person-years were 0.812 (95% CI: 0.674-0.978), 6.612 (95% CI: 5.936-7.364), 22.228 (95% CI: 20.128-24.547), 50.863 (95% CI: 47.472-54.496) and 120.318 (95% CI: 112.596-128.570) for stages IA, IB, IIA, IIB and III, respectively. Conclusion: We developed a more practical and prognosis-relevant staging system than that of the 8th edition AJCC manual for patients with stage I-III cutaneous melanoma. Treatments using this new model would improve the quality of life and survival rates of patients with melanoma.
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To solve the ghosting artifacts problem in dynamic scene multi-scale exposure fusion, an improved multi-exposure fusion method has been proposed without ghosting based on the exposure fusion framework and the color dissimilarity feature of this study. This fusion method can be further applied to power system monitoring and unmanned aerial vehicle monitoring. In this study, first, an improved exposure fusion framework based on the camera response model was applied to preprocess the input image sequence. Second, the initial weight map was estimated by multiplying four weight items. In removing the ghosting weight term, an improved color dissimilarity feature was used to detect the object motion features in dynamic scenes. Finally, the improved pyramid model as adopted to retain detailed information about the poor exposure areas. Experimental results indicated that the proposed method improves the performance of images in terms of sharpness, detail processing, and ghosting artifacts removal and is superior to the five existing multi-exposure image fusion (MEF) methods in quality evaluation.
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Brain edema is a severe stroke complication that is associated with prolonged hospitalization and poor outcomes. Swollen tissues in the brain compromise cerebral perfusion and may also result in transtentorial herniation. As a physical and biochemical barrier between the peripheral circulation and the central nervous system (CNS), the blood-brain barrier (BBB) plays a vital role in maintaining the stable microenvironment of the CNS. Under pathological conditions, such as ischemic stroke, the dysfunction of the BBB results in increased paracellular permeability, directly contributing to the extravasation of blood components into the brain and causing cerebral vasogenic edema. Recent studies have led to the discovery of the glymphatic system and meningeal lymphatic vessels, which provide a channel for cerebrospinal fluid (CSF) to enter the brain and drain to nearby lymph nodes and communicate with the peripheral immune system, modulating immune surveillance and brain responses. A deeper understanding of the function of the cerebral lymphatic system calls into question the known mechanisms of cerebral edema after stroke. In this review, we first discuss how BBB disruption after stroke can cause or contribute to cerebral edema from the perspective of molecular and cellular pathophysiology. Finally, we discuss how the cerebral lymphatic system participates in the formation of cerebral edema after stroke and summarize the pathophysiological process of cerebral edema formation after stroke from the two directions of the BBB and cerebral lymphatic system.
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Purpose: The coronavirus disease (COVID-19) pandemic poses a global threat, and identification of its prognostic biomarkers could prove invaluable. Fibrinogen (FIB) could be one such indicator as coagulation and fibrinolysis abnormalities are common among COVID-19 patients. We examined the role of FIB levels in the prognosis of COVID-19. Methods: This retrospective cohort study enrolled 1,643 COVID-19 patients from the Leishenshan Hospital in Wuhan, China. The follow-up was conducted from February 8, 2020 to April 15, 2020. The cohort was divided into three groups according to the FIB level on admission, and associations with mortality and disease severity were determined using Cox and logistic regression analyses, respectively. Further, Kaplan-Meier (K-M) analyses by log-rank tests were used to assess the survival of patients with varying FIB levels. Results: Patients with FIB < 2.2 g/L [hazard ratio (HR): 9.02, 95% confidence interval (CI): 1.91-42.59, P = 0.006] and >4.2 g/L (HR: 4.79, 95% CI: 1.14-20.20, P = 0.033) showed higher mortality risks compared to those with FIB between 2.2 and 4.2 g/L. The survival curves showed similar results in K-M analyses (P < 0.001). Additionally, an elevated FIB level was associated with a greater risk of developing critical disease (odds ratio: 2.16, 95% CI: 1.04-4.46, P = 0.038) than a FIB level within the normal range. Conclusion: Abnormal FIB levels may be associated with mortality risk among COVID-19 patients and could predict critical disease development. Thus, assessment of FIB levels may assist in determining the prognosis of COVID-19 patients.
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Medullary thyroid carcinoma (MTC) is a rare and lethal cancer. There are currently controversies regarding its staging. This study aimed to verify the significance of the patient's age in the prognosis of MTC and propose its addition to the current staging system. Data on cancer-specific survival (CSS) from the Surveillance, Epidemiology, and End Results database between 2010 and 2015 were used. X-Tile, nomograms, Cox proportional hazards regression analysis, Kaplan-Meier curves, and log-rank tests were used to evaluate mortality rates to create a new staging system. A total of 849 patients were included. Patients were divided into three categories based on their ages at diagnosis: ≤41 years, n = 224 (26.4%); 42-71 years, n = 516 (60.8%); and ≥72 years, n = 109 (12.8%). Independent factors for survival in the multivariate analysis included age (42-71 years, hazard ratio [HR], 2.81, 95% confidence interval [CI], 1.07-7.42; ≥72 years, HR, 8.71, 95% CI, 2.88-26.34), T stage (T2, HR, 3.60, 95% CI, 1.31-9.88), and M stage (M1, HR, 8.43, 95% CI, 4.40-16.16), with P<0.05. The Harrell's concordance index for tumor node metastasis (TNM) nomogram and TNM-age nomogram was 0.904 and 0.908, respectively. The areas under the curve (AUCs) for a 3-year CSS were 0.88 and 0.873, respectively. The corresponding AUCs for a 5-year CSS were 0.892 and 0.888, respectively. A new TNM-age staging system based on cancer-specific mortality rate analysis is proposed. This system provides a more accurate risk stratification and ensures more rational treatment measures for patients with stage IV MTC.
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PURPOSE: Parathyroid carcinoma (PC) is an uncommon endocrine disease, and surgery is considered the only potential cure. PC does not have a mature staging system because of the small number of PC patients. Our aim is to further investigate the prognostic factors associated with PC and explore the optimal extent of resection for PC patients. METHODS: Univariate and multivariate Cox regression analyses were conducted to explore the influence of relevant factors on cancer-specific survival (CSS) and overall survival (OS). Survival curves were generated using the Kaplan-Meier method and analyzed using the log-rank test. The mortality rates per 1,000 person-years were calculated to evaluate patients' follow-up data. We also performed subgroup analysis based on the extent of resection. RESULTS: The extent of resection was related to both CSS and OS, whereas race and extent of disease had a significant positive correlation with OS (all P < 0.05). Patients who underwent parathyroidectomy had remarkably better CSS and OS than patients who did not undergo definitive treatment. CONCLUSION: The extent of resection is related to CSS and OS in patients with PC. No significant difference in prognosis was observed between patients who underwent parathyroidectomy and those who underwent en bloc resection, which may provide useful parameters for the treatment of PC.
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Background: Coronavirus disease- (COVID-19-) related renal function abnormality is associated with poor prognosis. However, the clinical significance of dynamic changes in renal function indicators has not been studied, and no studies have evaluated the renal function in COVID-19 patients by cystatin C. Objective: This study aimed to evaluate the effect of abnormal renal function on admission on prognosis of COVID-19 patients and the prognostic value of various renal function indicators. Methods: A total of 1,764 COVID-19 patients without a history of chronic kidney disease were categorized into two groups, an elevated cystatin C group and a normal cystatin C group, based on the results of renal function tests on admission. The clinical characteristics were compared between the two groups, and logistic or Cox regression analyses were performed to explore the associations between elevated cystatin C/serum creatinine levels and disease severity and survival. We also performed receiver operating characteristic (ROC) curve, Kaplan-Meier survival, and curve fitting analyses. Results: When adjusted for several significant clinical variables, elevated cystatin C levels on admission were independent predictors of disease severity (p < 0.001), and elevated creatinine levels were independent predictors of death (p = 0.020). Additionally, the ROC curve analysis shows that elevated cystatin C levels [area under the curve (AUC): 0.656] have a better predictive value for disease severity than elevated creatinine levels (AUC: 0.540). The survival curves of patients with elevated cystatin C/creatinine levels show a sharper decline than those of patients with normal cystatin C/creatinine levels (p < 0.001). The curve fitting analysis revealed that, compared to the flat curves of cystatin C and creatinine levels for patients who survived, the curves for patients who died kept rising, and cystatin C levels rose above the normal range earlier than creatinine. Conclusions: Elevated cystatin C, which occurs earlier than serum creatinine, is useful for the early detection of renal function abnormality and might have better predictive value for disease severity in COVID-19 patients, while elevated serum creatinine may have a better predictive value for risks of death.
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ABSTRACT: It has been reported that some male breast cancer patients may refuse the recommended surgery, but the incidence rate in the United States is not clear. The purpose of this study was to identify the incidence, trends, risk factors, and eventual survival outcomes associated with the rejection of such cancer-directed surgery.We collected data on 5860 patients with male breast cancer (MBC) from the Surveillance, Epidemiology, and End Results database, including 50 patients refusing surgery as recommended. Kaplan-Meier survival analysis and Cox proportional hazard regression were used to identify the effects of refusing surgery on cancer-specific survival (CSS) and overall survival (OS). The association between acceptance or rejection of surgery and mortality were estimated by nested Cox proportional hazards regression models with adjustment for age, race, clinical characteristics, and radiation.Of the 5860 patients identified, 50 (0.9%) refused surgery. Old age (≥65: hazard ratio [HR]: 3.056, 95% confidence interval [CI]: 1.738-5.374, Pâ<â.0001), higher AJCC stage (III: HR: 3.283, 95% CI: 2.134-5.050, Pâ<â.0001, IV: HR: 14.237, 95% CI: 8.367-24.226, Pâ<â.0001), progesterone receptor status (negative: HR: 1.633, 95% CI: 1.007-2.648, Pâ=â.047) were considered risk factors. Compared with the surgery group, the refusal group was associated with a poorer prognosis in both OS and CSS (χ2â=â94.81, Pâ<â.001, χ2â=â140.4, Pâ<â.001). Moreover, significant differences were also observed in OS and CSS among 1:3 matched groups (Pâ=â.0002, Pâ<â.001).Compared with the patients undergoing surgery, the patients who refused the cancer-directed surgery had poor prognosis in the total survival period, particularly in stage II and III. The survival benefit for undergoing surgery remained even after adjustment, which indicates the importance of surgical treatment before an advanced stage for male breast cancer patients.
Subject(s)
Breast Neoplasms, Male/mortality , Breast Neoplasms, Male/surgery , Mastectomy/statistics & numerical data , Treatment Refusal/statistics & numerical data , Aged , Humans , Incidence , Kaplan-Meier Estimate , Male , Mastectomy/psychology , Middle Aged , Neoplasm Staging , Proportional Hazards Models , Risk Factors , United States/epidemiologyABSTRACT
In this paper, the defects of TiO2/Ag2O nanoheterojunctions are regulated to evaluate the effect of the interface defects on carrier trapping and recombination dynamics by time-resolved photoluminescence spectroscopy (TRPL) and time-resolved terahertz (THZ) spectroscopy. TRPL spectra reveal that interface defects can act as a recombination center and have an accelerative effect on the recombination process of photogenerated carriers under ultraviolet light. Moreover, THZ spectroscopy results demonstrate that interface defects can effectively trap electrons and expedite the Auger recombination. Furthermore, the influence of interface defects on the photocarrier dynamics of TiO2/Ag2O nanoheterojunctions was comprehensively analyzed, providing a valuable experimental reference for the regulation and application of interface defect-fabricated nanoheterojunctions.
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Autophagy is reported to be involved in the formation of skin hypertrophic scar (HTS). However, the role of autophagy in the process of fibrosis remains unclear, therefore an improved understanding of the molecular mechanisms associated with autophagy may accelerate the development of effective therapeutic strategies against HTS. The present study evaluated the roles of autophagy mediated by transcription factor EB (TFEB), a pivotal regulator of lysosome biogenesis and autophagy, in transforming growth factorß1 (TGFß1)induced fibroblast differentiation and collagen production. Fibroblasts were treated with TGFß1, TGFß1 + tauroursodeoxycholic acid (TUDCA) or TGFß1 + TFEBsmall interfering RNA (siRNA). TGFß1 induced phenotypic transformation of fibroblasts, as well as collagen synthesis and secretion in fibroblasts in a dosedependent manner. Western blotting and immunofluorescence analyses demonstrated that TGFß1 upregulated the expression of autophagyrelated proteins through the endoplasmic reticulum (ER) stress pathway, whereas TUDCA reversed TGFß1induced changes. Reverse transcriptionquantitative PCR (RTqPCR), western blotting and RFPGFPLC3 double fluorescence analyses demonstrated that knockdown of TFEB by TFEBsiRNA decreased autophagic flux, upregulated the expression of proteins involved in the apoptotic pathway, such as phosphorylatedα subunit of eukaryotic initiation factor 2, C/EBP homologous protein and cysteinyl aspartate specific proteinase 3, and also downregulated the expression of αsmooth muscle actin and collagen I (COL I) in fibroblasts. Immunofluorescence confocal analyses and enzymelinked immunosorbent assay indicated that TGFß1 increased the colocalization of COL I with lysosomalassociated membrane protein 1 and Rasrelated protein Rab8A, a marker of secretory vesicles, in fibroblasts, as well as the secretion of proCOL Iα1 in culture supernatants. Meanwhile, these effects were abolished by TFEB knockdown. The present results suggested that autophagy reduced ER stress, decreased cell apoptosis and maintained fibroblast activation not only through degradation of misfolded or unfolded proteins, but also through promotion of COL I release from the autolysosome to the extracellular environment.
Subject(s)
Autophagy , Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/metabolism , Cell Differentiation , Collagen/biosynthesis , Dermis/metabolism , Endoplasmic Reticulum Stress , Fibroblasts/metabolism , Basic Helix-Loop-Helix Leucine Zipper Transcription Factors/genetics , Collagen/genetics , Humans , MaleABSTRACT
AIMS: Many studies have explored the clinical characteristics of patients with coronavirus disease (COVID-19), especially patients with cardiovascular disease. However, associated mechanisms and markers remain to be further investigated. This study aimed to investigate the effect of α-hydroxybutyrate dehydrogenase (α-HBDH) levels on disease progression and prognosis of patients with COVID-19. METHODS AND RESULTS: One thousand seven hundred and fifty-one patients from the Leishenshan hospital in Wuhan were divided into elevated and normal groups by α-HBDH level, and the clinical information between the two groups was compared retrospectively. The main outcome evaluation criteria included in-hospital death and disease severity. Univariate and multivariate regression analyses, survival curves, logistic regression, and receiver operating characteristic curve models were performed to explore the relationship between elevated α-HBDH and the two outcomes. Besides, curve fitting analyses were conducted to analyse the relationship between computed tomography score and survival. Among 1751 patients with confirmed COVID-19, 15 patients (0.87%) died. The mean (SD) age of patients was 58 years in normal α-HBDH group and 66 years in elevated α-HBDH group (P < 0.001). The mortality during hospitalization was 0.26% (4 of 1559) for patients with normal α-HBDH levels and 5.73% (11 of 192) for those with elevated α-HBDH levels (P < 0.001). Multivariate Cox analysis confirmed an association between elevated α-HBDH levels and higher risk of in-hospital mortality [hazard ratio: 4.411, 95% confidence interval (95% CI), 1.127-17.260; P = 0.033]. Multivariate logistic regression for disease severity and α-HBDH levels showed significant difference between both groups (odds ratio = 3.759; 95% CI, 1.895-7.455; P < 0.001). Kaplan-Meier curves also illustrated the survival difference between normal and elevated α-HBDH patients (P < 0.001). CONCLUSIONS: Our study found that serum α-HBDH is an independent risk factor for in-hospital mortality and disease severity among COVID-19 patients. α-HBDH assessment may aid clinicians in identifying high-risk individuals among COVID-19 patients.
Subject(s)
COVID-19/diagnosis , Hydroxybutyrate Dehydrogenase/blood , Aged , COVID-19/blood , COVID-19/enzymology , COVID-19/mortality , China/epidemiology , Disease Progression , Hospital Mortality , Humans , Middle Aged , Prognosis , Retrospective Studies , Risk Factors , Severity of Illness IndexABSTRACT
BACKGROUND: The incidence of thyroid cancer among young adults is increasing; however, the clinical challenges specific to this population, such as diagnosis, reduced healthcare access, and inconsistent care, have received limited attention. Here, we conducted a subgroup analysis on a series of relatively young patients with differentiated thyroid carcinomas (DTCs), focusing on those with distant metastases at stage II, to obtain a deeper understanding of the factors influencing survival. METHODS: Information on <45- or <55-year-old patients at any T/N stage with distant metastasis (M1) was extracted from the SEER database according to the staging system in the 6th and 8th American Joint Committee on Cancer (AJCC) editions, respectively. Patient mortality was evaluated using Cox proportional hazards regression analyses and Kaplan-Meier analyses with log-rank tests. RESULTS: Both cancer-specific and all-cause mortality rates per 1,000 person-years for patients ≥35 years old significantly differed from those of patients <35 years old. DTC-specific survival curves also significantly differed between these age groups, according to both the AJCC 6.0 and 8.0-based analyses (P=0.0017 and P<0.001, respectively), as did patient survival curves (P=0.0003, P<0.001, respectively). The multivariate Cox regression model also revealed that poor OS was strongly predicted by race (P<0.001) in the analysis based on the criteria of 8th AJCC staging system. CONCLUSIONS: Age is a risk factor for disease-specific and overall survival (OS) in young patients with stage II DTC, and young male patients exhibited poorer survival than females. Race also emerged as a potential risk factor for young patients in stage II. These findings offer guidance for improving the older and newer versions of the AJCC staging system.
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Rationale: Coronavirus disease 2019 (COVID-19) was first announced in Wuhan, and has rapidly evolved into a pandemic. However, the risk factors associated with the severity and mortality of COVID-19 are yet to be described in detail. Methods: We retrospectively reviewed the information of 1525 cases from the Leishenshan Hospital in Wuhan. Univariate and multivariate Cox regression analyses were generated to explore the relationship between procalcitonin (PCT) level and the progression and prognosis of COVID-19. Univariate and multivariate logistic regression analyses were performed to explore the relationship between disease severity in hospitalized patients and their PCT levels. Survival curves and the cumulative hazard function for COVID-19 progression were conducted in the two groups. To further detect the relationship between the computed tomography score and survival days, curve-fitting analyses were performed. Results: Patients in the elevated PCT group had a higher incidence of severe and critical severity conditions (P < 0.001), death, and higher computed tomography (CT) scores. There was an association between elevated PCT levels and mortality in the univariate ((hazard ratio [1], 3.377; 95% confidence interval [2], 1.012-10.344; P = 0.033) and multivariate Cox regression analysis (HR, 4.933; 95% CI, 1.170-20.788; P = 0.030). Similarly, patients with elevated PCT were more likely to have critically severe disease conditions in the univariate (odds ratio [2], 7.247; 95% CI, 3.559-14.757; P < 0.001) and multivariate logistic regression analysis (OR, 10.679; 95% CI, 4.562-25.000; P < 0.001). Kaplan-Meier curves showed poorer prognosis for patients with elevated PCT (P = 0.024). The CT score 1 for patients with elevated PCT peaked at day 40 following the onset of symptoms then decreased gradually, while their total CT score was relatively stable. Conclusion: PCT level was shown as an independent risk factor of in-hospital mortality among COVID-19 patients. Compared with inpatients with normal PCT levels, inpatients with elevated PCT levels had a higher risk for overall mortality and critically severe disease. These findings may provide guidance for improving the prognosis of patients with critically severe COVID-19.