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1.
Journal of the Korean Association of Oral and Maxillofacial Surgeons ; : 252-261, 2023.
Article in English | WPRIM | ID: wpr-1001647

ABSTRACT

Objectives@#Patients undergoing oral surgery exhibit high anxiety, which may elevate their cortisol levels and affect postoperative recovery. Overweight patients are often encountered in the dental clinic due to the increasing prevalence of overweight. We aimed to investigate the relationships between preoperatively assessed body mass index (BMI), serum cortisol and high-sensitivity C-reactive protein (hs-CRP) levels, and visual analog scale (VAS) scores and preoperative anxiety in patients undergoing mandibular third molar (MM3) extraction and to identify predictors of postoperative complications. @*Patients and Methods@#We analyzed 43 patients (age, 20-42 years) undergoing MM3 extraction. At the first visit, patients completed the Modified Dental Anxiety Scale (MDAS) and Amsterdam Preoperative Anxiety and Information Scale (APAIS) questionnaires. Their BMI and VAS scores were also calculated. The participants underwent blood tests 1 hour before MM3 extraction. On the first postoperative day, the participants’ VAS scores and serum hs-CRP levels were reevaluated. @*Results@#We found that BMI was significantly correlated with preoperative VAS scores. Further, BMI and preoperative hs-CRP levels were significantly correlated among women and patients undergoing extractions of fully impacted MM3s. No correlations were found between serum cortisol and other variables. The preoperative MDAS and VAS scores were significantly positively correlated, especially among patients undergoing extractions of fully impacted MM3s. Multiple linear regression showed that BMI and the eruption status of the MM3 were significant predictors of postoperative hsCRP levels and VAS scores, respectively. @*Conclusion@#In MM3 removals, patients with higher BMI showed elevated hs-CRP and higher VAS scores before surgery. Patients with higher anxiety among those undergoing extractions of fully impacted MM3s showed higher preoperative VAS scores. The two main predictors of postoperative complications were BMI and MM3 eruption status.

2.
Genomics & Informatics ; : e28-2023.
Article in English | WPRIM | ID: wpr-1000718

ABSTRACT

Mild cognitive impairment (MCI) is a clinical syndrome characterized by the onset and evolution of cognitive impairments, often considered a transitional stage to Alzheimer’s disease (AD). The genetic traits of MCI patients who experience a rapid progression to AD can enhance early diagnosis capabilities and facilitate drug discovery for AD. While a genome-wide association study (GWAS) is a standard tool for identifying single nucleotide polymorphisms (SNPs) related to a disease, it fails to detect SNPs with small effect sizes due to stringent control for multiple testing. Additionally, the method does not consider the group structures of SNPs, such as genes or linkage disequilibrium blocks, which can provide valuable insights into the genetic architecture. To address the limitations, we propose a Bayesian bi-level variable selection method that detects SNPs associated with time of conversion from MCI to AD. Our approach integrates group inclusion indicators into an accelerated failure time model to identify important SNP groups. Additionally, we employ data augmentation techniques to impute censored time values using a predictive posterior. We adapt Dirichlet-Laplace shrinkage priors to incorporate the group structure for SNP-level variable selection. In the simulation study, our method outperformed other competing methods regarding variable selection. The analysis of Alzheimer’s Disease Neuroimaging Initiative (ADNI) data revealed several genes directly or indirectly related to AD, whereas a classical GWAS did not identify any significant SNPs.

3.
Pediatric Infection & Vaccine ; : 71-79, 2019.
Article in English | WPRIM | ID: wpr-741867

ABSTRACT

Mycoplasma pneumoniae (MP) is the most common causative agent of community-acquired pneumonia in school-aged children. An 8-year-old boy who had been diagnosed with autism looked severely ill when he presented to our hospital due to dyspnea and lethargy. He had fever and cough 7 days prior to hospitalization. He had signs and symptoms of severe respiratory distress. The percutaneous oxygen saturation was 88% at high oxygen supply. Chest radiography showed diffusely increased opacity with moderate pleural effusion. He was intubated immediately and admitted to the intensive care unit. Under the clinical impression of mycoplasmal pneumonia, intravenous clarithromycin was started. Laboratory findings showed leukocytosis, hepatitis, decreased renal function, and presence of serum MP immunoglobulin (Ig) M (+) IgG (+) and sputum MP polymerase chain reaction (+). On hospital day 2, the patient developed multiple organ failure with acute respiratory distress syndrome (ARDS). Veno-venous extracorporeal membrane oxygenation (ECMO) was performed with continuous renal replacement therapy (CRRT) and was weaned successfully. This is the first reported case of an ARDS due to MP infection complicated by multiple organ failure that was successfully treated with ECMO and CRRT in South Korea.


Subject(s)
Child , Humans , Male , Autistic Disorder , Clarithromycin , Cough , Dyspnea , Extracorporeal Membrane Oxygenation , Fever , Hepatitis , Hospitalization , Immunoglobulin G , Immunoglobulins , Intensive Care Units , Korea , Lethargy , Leukocytosis , Multiple Organ Failure , Mycoplasma pneumoniae , Mycoplasma , Oxygen , Pleural Effusion , Pneumonia , Pneumonia, Mycoplasma , Polymerase Chain Reaction , Radiography , Renal Replacement Therapy , Respiratory Distress Syndrome , Sputum , Thorax
4.
The Journal of Advanced Prosthodontics ; : 14-21, 2017.
Article in English | WPRIM | ID: wpr-107073

ABSTRACT

PURPOSE: The aim of this study was to compare the retention of mini implant overdenture by the number, the type of magnetic attachment, and the directions of applied dislodging force. MATERIALS AND METHODS: The experimental groups were designed by the number and type of magnetic attachment. Twenty samples were tested with Magden implants. Each attachment was composed of the magnet assembly in overdenture sample and the abutment keeper in a mandibular model. Dislodging forces were applied to the overdenture samples (50.0 mm/min) in 3 directions. The loading was repeated 10 times in each direction. The values of dislodging force were analyzed statistically using SPSS at 95% level of confidence. RESULTS: The retentive force of group 2 was greater than that of group 1 in both types of attachment in every direction (P < .05). Oblique retentive force of flat type magnetic attachment was higher than that of cushion type attachment in both groups (P < .05). In group 1, oblique retentive force showed the highest and anterior-posterior retentive force showed the lowest value in both attachment types (P < .05). In group 2, both types of attachment showed the lowest retentive force with anteriorposterior direction of dislodging force (P <.05). CONCLUSION: Proper retentive properties for implant overdenture were obtained, regardless of the number and type of magnetic attachment. In both types of magnetic attachment, the greater retentive force was attained with more implants. Oblique retentive force of flat type magnetic attachment was greater than that of cushion type. Among all subgroups, anterior-posterior retentive force was the lowest among three different directions of dislodging force.


Subject(s)
Denture, Overlay
5.
Genomics & Informatics ; : 118-123, 2007.
Article in English | WPRIM | ID: wpr-86064

ABSTRACT

The current existing literature offers little guidance on how to decide which method to use to analyze one-channel microarray measurements when dealing with large, grouped samples. Most previous methods have focused on two-channel data;therefore they can not be easily applied to one-channel microarray data. Thus, a more reliable method is required to determine an appropriate combination of individual basic processing steps for a given dataset in order to improve the validity of onechannel expression data analysis. We address key issues in evaluating the effectiveness of basic statistical processing steps of microarray data that can affect the final outcome of gene expression analysis without focusingon the intrinsic data underlying biological interpretation.


Subject(s)
Analysis of Variance , Dataset , Gene Expression , Statistics as Topic
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