Automatic detection of image sharpening in maxillofacial radiology

Risk factors and clinical prediction models for low-level viremia in people living with HIV receiving antiretroviral therapy: an 11-year retrospective study

Objective

This study explores the risk factors for low-level viremia (LLV) occurrence after ART and develops a risk prediction model.

Method

Clinical data and laboratory indicators of people living with HIV (PLWH) at Hangzhou Xixi Hospital from 5 April 2011 to 29 December 2022 were collected. LASSO Cox regression and multivariate Cox regression analysis were performed to identify laboratory indicators and establish a nomogram for predicting LLV occurrence. The nomogram's discrimination and calibration were assessed via ROC curve and calibration plots. The concordance index (C-index) and decision curve analysis (DCA) were used to evaluate its effectiveness.

Result

Predictive factors, namely, age, ART delay time, white blood cell (WBC) count, baseline CD4+ T-cell count (baseline CD4), baseline viral load (baseline VL), and total bilirubin (TBIL), were incorporated into the nomogram to develop a risk prediction model. The optimal model (which includes 6 variables) had an AUC for LLV after 1-year, 3-year, and 5-year of listing of 0.68 (95% CI, 0.61-0.69), 0.69 (95% CI, 0.65-0.70), and 0.70 (95% CI, 0.66-0.71), respectively. The calibration curve showed high consistency between predicted and actual observations. The C-index and DCA indicated superior prediction performance of the nomogram. There was a significant difference in CD4 levels between LLV and non-LLV groups during the follow-up time. The dynamic SCR, ALT, TG and BG levels and occurrence of complications differed significantly between the high- and low-risk groups.

Conclusion

A simple-to-use nomogram containing 6 routinely detected variables was developed for predicting LLV occurrence in PLWH after ART.

Diagnostic Value of SAA Levels and Perianal Symptoms in the Complicated Perianal Abscesses Among Mpox-Infected Patients

Objective

Precise prediction of the occurrence of complicated perianal abscesses (PAs) in monkeypox (mpox)-infected patients is important for therapeutic optimization. This study sought to identify risk factors of complicated PA.

Methods

A total of 48 patients with mpox infection (PA group, n = 10; non-PA (NPA) group, n = 38) were enrolled in our study, who were hospitalized in Hangzhou Xixi Hospital, China from 29 June to 3 September 2023. The data of demographic characteristics, and clinical symptoms, serum SAA, PCT, CRP, and IL-6 levels were collected by the Electronic Medical Record. The diagnostic values of these biomarkers were assessed using multivariate logistic regression and ROC curve analyses.

Results

A decrease in serum IL-6, SAA, and CRP levels (all p-value < 0.05), but not PCT, was observed in all mpox-infected patients. A significant positive correlation was also noted between IL-6, SAA, CRP, and PCT levels (all p-value < 0.05). There was a significant increase in IL-6 and SAA levels and the SAA/CRP ratio in serum samples from patients in the PA group. Multivariate logistic regression and ROC curve analyses identified that the combined use of perianal symptoms and SAA was more sensitive than perianal symptoms or SAA alone as predictors of complicated PA. This combination had the highest predictive value for disease progression, with an AUC of 0.920 (p-value < 0.001).

Conclusion

The combination of perianal symptoms and SAA levels was strongly linked to the occurrence of complicated PA in mpox-infected patients. These findings may inform the early diagnosis of this patient population.

Development and Evaluation of a Nomogram for Predicting the Outcome of Immune Reconstitution Among HIV/AIDS Patients Receiving Antiretroviral Therapy in China

This study aims to develop and evaluate a model to predict the immune reconstitution among HIV/AIDS patients after antiretroviral therapy (ART). A total of 502 HIV/AIDS patients are randomized to the training cohort and evaluation cohort. Least absolute shrinkage and selection operator (LASSO) regression and multivariate logistic regression analysis are performed to identify the indicators and establish the nomogram for predicting the immune reconstitution. Decision curve analysis (DCA) and clinical impact curve (CIC) are used to evaluate the clinical effectiveness of the nomogram. Predictive factors included white blood cells (WBC), baseline CD4+ T-cell counts (baseline CD4), ratio of effector regulatory T cells to resting regulatory T cells (eTreg/rTreg) and low-density lipoprotein cholesterol (LDL-C) and are incorporated into the nomogram. The area under the curve (AUC) is 0.812 (95% CI, 0.767∼0.851) and 0.794 (95%CI, 0.719∼0.857) in the training cohort and evaluation cohort, respectively. The calibration curve shows a high consistency between the predicted and actual observations. Moreover, DCA and CIC indicate that the nomogram has a superior net benefit in predicting poor immune reconstitution. A simple-to-use nomogram containing four routinely collected variables is developed and internally evaluated and can be used to predict the poor immune reconstitution in HIV/AIDS patients after ART.

[Construction of a fecal protein Luminex liquid chip detection system for early diagnosis of colorectal tumors]

OBJECTIVE

To construct a stool-based human protein diagnostic system using the Luminex liquid chip system for early diagnosis of colorectal tumors.

METHODS

From January, 2021 to January, 2023, 70 patients with colorectal cancer (CRC), 42 patients with colorectal adenoma (CRA), and 38 healthy individuals were recruited from our hospital for detecting fecal protein levels of matrix metalloproteinase-9 (MMP-9), retinol-binding protein 4 (RBP4), chitinase-3-like protein 1 (CHI3L1), and complement component 3a (C3a) using Luminex liquid chip technology and serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) using chemiluminescence assay. Receiver-operating characteristic (ROC) curve analysis was used for assessing the diagnostic efficacy of the combination of MMP-9, RBP4, CHI3L1 and C3a and the combination of CEA and CA19-9 for colorectal tumors.

RESULTS

The fecal contents of MMP-9, RBP4, CHI3L1, and C3a were significantly higher in CRC patients than in healthy individuals (P < 0.05). Fecal MMP-9 and CHI3L1 levels were significantly higher in CRC than in CRA patients (P < 0.05), but RBP4 and C3a levels did not differ significantly (P>0.05). CRC patients had significantly higher serum CEA and CA19-9 levels than healthy individuals and CRA patients (P < 0.05), but the differences were not significant between the latter two groups (P>0.05). ROC analysis showed that the sensitivity and specificity of the combination of MMP-9, RBP4, CHI3L1, and C3a was 91.4% and 100.0%, for diagnosing CRC, 81.0% and 89.5% for diagnosing CRA, and 83.9% and 97.4% for a combined diagnosis of CRC and CRA, respectively. Z-test analysis indicated that fecal MMP-9, RBP4, CHI3L1, and C3a contents had a greater diagnostic efficacy than serum tumor markers CEA and CA19-9 for a combined diagnosis of colorectal tumors (P < 0.05).

CONCLUSION

The Luminex liquid chip detection system for detecting decal RBP4, MMP-9, CHI3L1, and C3a provides an effective means for early diagnosis of colorectal tumors with a greater diagnostic efficacy than serum CEA and CA19-9 levels.