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CoDAS 2023To describe the panorama of children's hearing health in the Unified Health System of the state of Sergipe.
PURPOSE
To describe the panorama of children's hearing health in the Unified Health System of the state of Sergipe.
METHODS
A quantitative and retrospective study consisting of four steps: 1) Search the National Registry of Health Establishments of institutions affiliated to the Health Unic System in the state of Sergipe that perform obstetric services and hearing health services; 2) Collecting Neonatal Hearing Screening (NHS) coverage data through DATASUS (from 2012 to 2020); 3) Data collection from medical records of institutions with obstetrics and that perform NHS; and 4) Interview with the guardians of children undergoing auditory rehabilitation. The results were summarized using descriptive statistics (absolute and relative frequency, measures of central tendency, and dispersion).
RESULTS
Only one out of the 29 establishments with obstetrics performs NHS. Two of the Hearing Health Reference Centers (HHRC) are qualified for cochlear implants and two Specialized Centers are qualified for Rehabilitation. From 2012 to 2020, NHS coverage in the state was less than 40%, and when performed in the maternity ward, there were no referrals for Brainstem Auditory Evoked Response (BERA) and audiological diagnosis. The HHRC showed considerable coverage and a lower evasion rate to perform BERA, with a diagnosis rate of 4.8%. The mean time from the NHS to rehabilitation was longer than recommended.
CONCLUSION
NHS coverage must be increased, adjusting the hearing health network to articulate the different levels of care, and reducing the time for identification, diagnosis, and start of rehabilitation.
Topics: Pregnancy; Infant, Newborn; Child; Humans; Female; Retrospective Studies; Neonatal Screening; Hearing; Hearing Tests; Cochlear Implantation
PubMed: 38126548
DOI: 10.1590/2317-1782/20232021197pt -
BMC Medicine Apr 2024Thyroid nodule (TN) patients in China are subject to overdiagnosis and overtreatment. The implementation of existing technologies such as thyroid ultrasonography has...
BACKGROUND
Thyroid nodule (TN) patients in China are subject to overdiagnosis and overtreatment. The implementation of existing technologies such as thyroid ultrasonography has indeed contributed to the improved diagnostic accuracy of TNs. However, a significant issue persists, where many patients undergo unnecessary biopsies, and patients with malignant thyroid nodules (MTNs) are advised to undergo surgery therapy.
METHODS
This study included a total of 293 patients diagnosed with TNs. Differential methylation haplotype blocks (MHBs) in blood leukocytes between MTNs and benign thyroid nodules (BTNs) were detected using reduced representation bisulfite sequencing (RRBS). Subsequently, an artificial intelligence blood leukocyte DNA methylation (BLDM) model was designed to optimize the management and treatment of patients with TNs for more effective outcomes.
RESULTS
The DNA methylation profiles of peripheral blood leukocytes exhibited distinctions between MTNs and BTNs. The BLDM model we developed for diagnosing TNs achieved an area under the curve (AUC) of 0.858 in the validation cohort and 0.863 in the independent test cohort. Its specificity reached 90.91% and 88.68% in the validation and independent test cohorts, respectively, outperforming the specificity of ultrasonography (43.64% in the validation cohort and 47.17% in the independent test cohort), albeit with a slightly lower sensitivity (83.33% in the validation cohort and 82.86% in the independent test cohort) compared to ultrasonography (97.62% in the validation cohort and 100.00% in the independent test cohort). The BLDM model could correctly identify 89.83% patients whose nodules were suspected malignant by ultrasonography but finally histological benign. In micronodules, the model displayed higher specificity (93.33% in the validation cohort and 92.00% in the independent test cohort) and accuracy (88.24% in the validation cohort and 87.50% in the independent test cohort) for diagnosing TNs. This performance surpassed the specificity and accuracy observed with ultrasonography. A TN diagnostic and treatment framework that prioritizes patients is provided, with fine-needle aspiration (FNA) biopsy performed only on patients with indications of MTNs in both BLDM and ultrasonography results, thus avoiding unnecessary biopsies.
CONCLUSIONS
This is the first study to demonstrate the potential of non-invasive blood leukocytes in diagnosing TNs, thereby making TN diagnosis and treatment more efficient in China.
Topics: Humans; Thyroid Nodule; Prospective Studies; Artificial Intelligence; Ultrasonography; Thyroid Neoplasms; Retrospective Studies
PubMed: 38561764
DOI: 10.1186/s12916-024-03368-1 -
Endoscopy International Open Oct 2023Pancreatic cysts are common incidental findings, with an estimated prevalence of 13% to 15% in imaging done for other reasons. Diagnosis often relies on collection of...
Pancreatic cysts are common incidental findings, with an estimated prevalence of 13% to 15% in imaging done for other reasons. Diagnosis often relies on collection of cyst fluid, but tissue sampling using micro-forceps may allow for a more reliable diagnosis and higher yield of DNA for next-generation sequencing (NGS). The primary aim was to assess the performance of NGS in identifying mucinous cyst. The secondary aims were to assess DNA yield between the cyst fluid and cyst wall tissue, complication rate and performance of conventional investigations. Twenty-four patients referred for endoscopic ultrasound were recruited. Biopsies were taken using micro-forceps and the AmpliSeq Cancer Hotspot panel was used for NGS, a polymerase chain reaction assay targeting several hotspots within 50 genes, including , and . The concentration of DNA extracted from 24 cyst wall samples was significantly higher than in the nine of 24 available matched cyst fluid samples. The sensitivity, specificity, and diagnostic accuracy of NGS for diagnosing mucinous cyst were 93%, 50% and 84%; for standard of care, they were -66.6%, 50% and 63.1%; and for standard of care with NGS, they were 100%, 50%, and 89.4% respectively. Cyst wall biopsy was able to diagnose 19 of 24 cysts (4 high risk, 7 intraductal papillary mucinous neoplasms, 4 cysts of mucinous origin, and 4 benign). NGS data correlate well with histology and may aid in diagnosis and risk stratification of pancreatic cysts. Cyst wall biopsy performs well in diagnosing cysts but was inadequate in five of 24 patients.
PubMed: 37941539
DOI: 10.1055/a-2163-8805 -
Medicine Nov 2023Transverse testicular ectopia (TTE) is a rare congenital malformation with a high rate of misdiagnosis and mistreatment before operation, which cannot be diagnosed even... (Review)
Review
RATIONALE
Transverse testicular ectopia (TTE) is a rare congenital malformation with a high rate of misdiagnosis and mistreatment before operation, which cannot be diagnosed even during operation due to lack of knowledge.
PATIENT CONCERNS
Two patients with ectopic testes who were misdiagnosed as right inguinal hernia for the first time and underwent surgery. The "ovary" and "testicle" like structures was seen in the right inguinal region during the first operation. After being transferred to our hospital for laparoscopic surgery, it was found that the left spermatic cord and testis were transversely transverted to the right, the left testis was fixed at the right inner ring, and agglomerated soft tissue could be seen in the right inguinal canal, which was suspected to be Muller tube.
DIAGNOSES
Based on preoperative images and intraoperative findings, both cases were diagnosed with Transverse testicular ectopia (TTE). The postoperative pathology report for the second patient revealed the presence of an in situ spermatogenic cell tumor in the ectopic testis.
INTERVENTIONS
Preperitoneal tension-free repair of right inguinal hernia and resection of left cryptorchidism were performed on the 2 patients.
OUTCOMES
Postoperative pathology of the first patient confirmed that the resected specimens contained tubal-like and uterine-like structures. The postoperative pathology of the second patient showed that the resected tissue consists of immature testis, epididymis, uterus and seminal vesicle glands, in which an in situ spermatogenic tumor could be seen in the testicular tissue. Postoperative diagnosis: left transversal testicular ectopia and right indirect inguinal hernia.
LESSONS
The clinical misdiagnosis and mistreatment rate of TTE is very high. Once the patients with cryptorchidism complicated with inguinal hernia are found in clinic, the possibility of the disease must be considered. For the patients whose cryptorchidism does not descend into the ipsilateral scrotum and it is difficult to diagnose, laparoscopy can be used for both diagnosis and treatment. If a patient has both inguinal hernia and cryptorchidism, it is crucial to rule out a diagnosis of TTE to prevent misdiagnosis and inappropriate treatment.
Topics: Humans; Male; Cryptorchidism; Diagnostic Errors; Hernia, Inguinal; Neoplasms; Testis
PubMed: 37933018
DOI: 10.1097/MD.0000000000035850 -
International Journal of Surgery... May 2024The authors aimed to establish an artificial intelligence (AI)-based method for preoperative diagnosis of breast lesions from contrast enhanced mammography (CEM) and to...
PURPOSE
The authors aimed to establish an artificial intelligence (AI)-based method for preoperative diagnosis of breast lesions from contrast enhanced mammography (CEM) and to explore its biological mechanism.
MATERIALS AND METHODS
This retrospective study includes 1430 eligible patients who underwent CEM examination from June 2017 to July 2022 and were divided into a construction set (n=1101), an internal test set (n=196), and a pooled external test set (n=133). The AI model adopted RefineNet as a backbone network, and an attention sub-network, named convolutional block attention module (CBAM), was built upon the backbone for adaptive feature refinement. An XGBoost classifier was used to integrate the refined deep learning features with clinical characteristics to differentiate benign and malignant breast lesions. The authors further retrained the AI model to distinguish in situ and invasive carcinoma among breast cancer candidates. RNA-sequencing data from 12 patients were used to explore the underlying biological basis of the AI prediction.
RESULTS
The AI model achieved an area under the curve of 0.932 in diagnosing benign and malignant breast lesions in the pooled external test set, better than the best-performing deep learning model, radiomics model, and radiologists. Moreover, the AI model has also achieved satisfactory results (an area under the curve from 0.788 to 0.824) for the diagnosis of in situ and invasive carcinoma in the test sets. Further, the biological basis exploration revealed that the high-risk group was associated with the pathways such as extracellular matrix organization.
CONCLUSIONS
The AI model based on CEM and clinical characteristics had good predictive performance in the diagnosis of breast lesions.
Topics: Humans; Female; Mammography; Breast Neoplasms; Retrospective Studies; Artificial Intelligence; Middle Aged; Adult; Contrast Media; Aged; Deep Learning; Breast
PubMed: 38748500
DOI: 10.1097/JS9.0000000000001076 -
Neurology Jan 2024Narcolepsy type 1 (NT1) is still largely underdiagnosed or diagnosed too late in children. Difficulties in obtaining rapid and reliable diagnostic evaluations of the...
BACKGROUND AND OBJECTIVES
Narcolepsy type 1 (NT1) is still largely underdiagnosed or diagnosed too late in children. Difficulties in obtaining rapid and reliable diagnostic evaluations of the condition in clinical practice partially explain this problem. Predictors of NT1 include cataplexy and sleep-onset REM periods (SOREMPs), documented during nocturnal polysomnography (N-PSG) or through the multiple sleep latency test (MSLT), although low CSF hypocretin-1 (CSF hcrt-1) is the definitive biological disease marker. Obtaining reliable MSLT results is not always feasible in children; therefore, this study aimed to validate daytime continuous polysomnography (D-PSG) as an alternative diagnostic tool.
METHODS
Two hundred consecutive patients aged younger than 18 years (112 with NT1; 25 with other hypersomnias, including narcolepsy type 2 and idiopathic hypersomnia; and 63 with subjective excessive daytime sleepiness) were randomly split into 2 groups: group 1 (n = 133) for the identification of diagnostic markers and group 2 (n = 67) for the validation of the detected markers. The D-PSG data collected included the number of spontaneous naps, total sleep time, and the number of daytime SOREMPs (d-SOREMP). D-PSG data were tested against CSF hcrt-1 deficiency (NT1 diagnosis) as the gold standard using receiver operating characteristic (ROC) curve analysis in group 1. ROC diagnostic performances of single and combined D-PSG parameters were tested in group 1 and validated in group 2.
RESULTS
In group 1, the areas under the ROC curve (AUCs) were 0.91 (95% CI 0.86-0.96) for d-SOREMPs, 0.81 (95% CI 0.74-0.89) for the number of spontaneous naps, and 0.70 (95% CI 0.60-0.79) for total sleep time. A d-SOREMP count ≥1 (sensitivity of 95% and specificity of 72%), coupled with a diurnal total sleep time above 60 minutes (sensitivity of 89% and specificity of 91%), identified NT1 in group 1 with high reliability (area under the ROC curve of 0.93, 95% CI 0.88-0.97). These results were confirmed in the validation group with an AUC of 0.88 (95% CI 0.79-0.97).
DISCUSSION
D-PSG recording is an easily performed, cost-effective, and reliable tool for identifying NT1 in children. Further studies should confirm its validity with home D-PSG monitoring. These alternative procedures could be used to confirm NT1 diagnosis and curtail diagnostic delay.
Topics: Humans; Child; Aged; Delayed Diagnosis; Polysomnography; Reproducibility of Results; Narcolepsy; Disorders of Excessive Somnolence
PubMed: 38165365
DOI: 10.1212/WNL.0000000000207815 -
Sensors (Basel, Switzerland) Sep 2023Oral capillaroscopy is a critical and non-invasive technique used to evaluate microcirculation. Its ability to observe small vessels in vivo has generated significant...
Oral capillaroscopy is a critical and non-invasive technique used to evaluate microcirculation. Its ability to observe small vessels in vivo has generated significant interest in the field. Capillaroscopy serves as an essential tool for diagnosing and prognosing various pathologies, with anatomic-pathological lesions playing a crucial role in their progression. Despite its importance, the utilization of videocapillaroscopy in the oral cavity encounters limitations due to the acquisition setup, encompassing spatial and temporal resolutions of the video camera, objective magnification, and physical probe dimensions. Moreover, the operator's influence during the acquisition process, particularly how the probe is maneuvered, further affects its effectiveness. This study aims to address these challenges and improve data reliability by developing a computerized support system for microcirculation analysis. The designed system performs stabilization, enhancement and automatic segmentation of capillaries in oral mucosal video sequences. The stabilization phase was performed by means of a method based on the coupling of seed points in a classification process. The enhancement process implemented was based on the temporal analysis of the capillaroscopic frames. Finally, an automatic segmentation phase of the capillaries was implemented with the additional objective of quantitatively assessing the signal improvement achieved through the developed techniques. Specifically, transfer learning of the renowned U-net deep network was implemented for this purpose. The proposed method underwent testing on a database with ground truth obtained from expert manual segmentation. The obtained results demonstrate an achieved Jaccard index of 90.1% and an accuracy of 96.2%, highlighting the effectiveness of the developed techniques in oral capillaroscopy. In conclusion, these promising outcomes encourage the utilization of this method to assist in the diagnosis and monitoring of conditions that impact microcirculation, such as rheumatologic or cardiovascular disorders.
Topics: Humans; Capillaries; Microscopic Angioscopy; Reproducibility of Results; Cardiovascular Diseases; Veins; Image Processing, Computer-Assisted
PubMed: 37765731
DOI: 10.3390/s23187674 -
Scientific Reports Sep 2023To develop a C-reactive protein-to-albumin ratio (CAR)-based nomogram for predicting the risk of in-hospital death in sepsis patients. Sepsis patients were selected from...
To develop a C-reactive protein-to-albumin ratio (CAR)-based nomogram for predicting the risk of in-hospital death in sepsis patients. Sepsis patients were selected from the MIMIC-IV database. Independent predictors were determined by multiple Cox analysis and then integrated to predict survival. The performance of the model was evaluated using the concordance index (C-index), receiver operating characteristic curve (ROC) analysis, and calibration curve. The risk stratifications analysis and subgroup analysis of the model in overall survival (OS) were assessed by Kaplan-Meier (K-M) curves. A total of 6414 sepsis patients were included. C-index of the CAR-based model was 0.917 [standard error (SE): 0.112] for the training set and 0.935 (SE: 0.010) for the validation set. The ROC curve analysis showed that the area under the curve (AUC) of the nomogram was 0.881 in the training set and 0.801 in the validation set. And the calibration curve showed that the nomogram performs well in both the training and validation sets. K-M curves indicated that patients with high CAR had significantly higher in-hospital mortality than those with low CAR. The CAR-based model has considerably high accuracy for predicting the OS of sepsis patients.
Topics: Humans; C-Reactive Protein; Prognosis; Nomograms; Hospital Mortality; Biomarkers; Albumins; Sepsis
PubMed: 37714898
DOI: 10.1038/s41598-023-42601-4 -
Orphanet Journal of Rare Diseases Jul 2023Among the various numbers of different autoinflammatory diseases (AIDs), the absolute majority of them remains rare, with a single representative in large populations....
BACKGROUND
Among the various numbers of different autoinflammatory diseases (AIDs), the absolute majority of them remains rare, with a single representative in large populations. This project, endorsed by PRES, supported by the EMERGE fellowship program, and performed in line with the Metadata registry for the ERN RITA (MeRITA), has the objective of performing a data synchronization attempt of the most relevant research questions regarding clinical features, diagnostic strategies, and optimal management of autoinflammatory diseases.
RESULTS
An analysis of three large European registries: Eurofever, JIR-cohort and AID-Net, with a total coverage of 7825 patients from 278 participating centers from different countries, was performed in the context of epidemiological and clinical data merging. The data collected and evaluated in the registries does not cover only pediatric patients, but also adults with newly diagnosed AIDs. General aspects of the existing epidemiological data have been discussed in the context of patient global distribution, potential diagnostic delays, access to genetic testing, and the availability of the treatment.
CONCLUSIONS
In general, the results indicate a great potential for upcoming collaborative work using existing data in cohorts that enhance the quality of medical care performed for patients with autoinflammatory diseases.
Topics: Adult; Child; Humans; Genetic Testing; Hereditary Autoinflammatory Diseases; Registries
PubMed: 37461074
DOI: 10.1186/s13023-023-02812-4 -
Circulation. Genomic and Precision... Oct 2023Familial hypercholesterolemia (FH) is a common but underdiagnosed genetic disorder characterized by high low-density lipoprotein cholesterol levels and premature...
BACKGROUND
Familial hypercholesterolemia (FH) is a common but underdiagnosed genetic disorder characterized by high low-density lipoprotein cholesterol levels and premature cardiovascular disease. Current sequencing methods to diagnose FH are expensive and time-consuming. In this study, we evaluated the accuracy of a low-cost, high-throughput genotyping array for diagnosing FH.
METHODS
An Illumina Global Screening Array was customized to include probes for 636 variants, previously classified as FH-causing variants. First, its theoretical coverage was assessed in all FH variant carriers diagnosed through next-generation sequencing between 2016 and 2022 in the Netherlands (n=1772). Next, the performance of the array was validated in another sample of FH variant carriers previously identified in the Dutch FH cascade screening program (n=1268).
RESULTS
The theoretical coverage of the array for FH-causing variants was 91.3%. Validation of the array was assessed in a sample of 1268 carriers of whom 1015 carried a variant in , 250 in , and 3 in . The overall sensitivity was 94.7% and increased to 98.2% after excluding participants with variants not included in the array design. Copy number variation analysis yielded a 89.4% sensitivity. In 18 carriers, the array identified a total of 19 additional FH-causing variants. Subsequent DNA analysis confirmed 5 of the additionally identified variants, yielding a false-positive result in 16 subjects (1.3%).
CONCLUSIONS
The FH genotyping array is a promising tool for genetically diagnosing FH at low costs and has the potential to greatly increase accessibility to genetic testing for FH. Continuous customization of the array will further improve its performance.
Topics: Humans; Proprotein Convertase 9; Cholesterol, LDL; Genetic Variation; Genotype; DNA Copy Number Variations; Hyperlipoproteinemia Type II
PubMed: 37675602
DOI: 10.1161/CIRCGEN.123.004103