Our study analyzed 95 solid organ transplant (SOT) and 78 hematopoietic stem cell transplant (HSCT) recipients with prior coronavirus disease 2019 (COVID-19). Patients who underwent transplantation within 30 days of COVID-19 infection comprised the early group, and those who underwent transplantation post-30 days of COVID-19 infection comprised the delayed group. In the early transplantation group, no patient, whether undergoing SOT and HSCT, experienced COVID-19-associated complications. In the delayed transplantation group, one patient each from SOT and HSCT experienced COVID-19-associated complications. Additionally, among early SOT and HSCT recipients, two and six patients underwent transplantation within seven days of COVID-19 diagnosis, respectively. However, no significant differences were observed in the clinical outcomes of these patients compared to those in other patients. Early transplantation following severe acute respiratory syndrome coronavirus 2 infection can be performed without increased risk of COVID-19-associated complications. Therefore, transplantation needs not be delayed by COVID-19 infection.

The seropositivity of measles antibodies among 261 autologous stem cell transplant recipients (ASCTs) in Korea, assessed approximately 1–2 years after transplant (median, 11 months; interquartile range, 9–14), was significantly lower than age- and sex-matched control healthcare workers (83.1% [217/261] vs. 90.3% [539/597], P = 0.002). The findings underscore the vulnerability of adult ASCT recipients to measles. Clinicians should prioritize testing for measles IgG after ASCT and consider vaccination for ASCT recipients who remain seronegative 2 years after ASCT.

Background: The pathophysiological mechanisms underlying the post-acute sequelae of severe acute respiratory syndrome coronavirus 2 infection (PASC) are not well understood.Our study aimed to investigate various aspects of theses mechanisms, including viral persistence, immunological responses, and laboratory parameters in patients with and without PASC. Methods: We prospectively enrolled adults aged ≥ 18 years diagnosed with coronavirus disease 2019 (COVID-19) between August 2022 and July 2023. Blood samples were collected at three time-points: within one month of diagnosis (acute phase) and at 1 month, and 3 months post-diagnosis. Following a recent well-designed definition of PASC, PASC patients were defined as those with a questionnaire-based PASC score ≥ 12 persisting for at least 4 weeks after the initial COVID-19 diagnosis. Results: Of 57 eligible COVID-19 patients, 29 (51%) had PASC, and 28 (49%) did not. The PASC group had significantly higher nucleocapsid protein (NP) antigenemia 3 months after COVID-19 diagnosis (P = 0.022). Furthermore, several cytokines, including IL-2, IL-17A, VEGF, RANTES, sCD40L, IP-10, I-TAC, and granzyme A, were markedly elevated in the PASC group 1 and/or 3 month(s) after COVID-19 diagnosis. In contrast, the median values of several serological markers, including thyroid markers, autoimmune indicators, and stress-related hormones, were within the normal range. Conclusion Levels of NP antigen and of various cytokines involved in immune responses become significantly elevated over time after COVID-19 diagnosis in PASC patients compared to non-PASC patients. This suggests that PASC is associated with prolonged immune dysregulation resulting from heightened antigenic stimulation.

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models.METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning.RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively.CONCLUSIONS: ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.
Classification ; Dataset ; Diagnosis ; Humans ; Lacrimal Apparatus Diseases ; Learning ; Logistic Models ; Machine Learning ; Nuclear Medicine ; Programming Languages ; Radionuclide Imaging

PURPOSE: We developed predictive models using different programming languages and different computing platforms for machine learning (ML) and deep learning (DL) that classify clinical diagnoses in patients with epiphora. We evaluated the diagnostic performance of these models. METHODS: Between January 2016 and September 2017, 250 patients with epiphora who underwent dacryocystography (DCG) and lacrimal scintigraphy (LS) were included in the study. We developed five different predictive models using ML tools, Python-based TensorFlow, R, and Microsoft Azure Machine Learning Studio (MAMLS). A total of 27 clinical characteristics and parameters including variables related to epiphora (VE) and variables related to dacryocystography (VDCG) were used as input data. Apart from this, we developed two predictive convolutional neural network (CNN) models for diagnosing LS images. We conducted this study using supervised learning. RESULTS: Among 500 eyes of 250 patients, 59 eyes had anatomical obstruction, 338 eyes had functional obstruction, and the remaining 103 eyes were normal. For the data set that excluded VE and VDCG, the test accuracies in Python-based TensorFlow, R, multiclass logistic regression in MAMLS, multiclass neural network in MAMLS, and nuclear medicine physician were 81.70%, 80.60%, 81.70%, 73.10%, and 80.60%, respectively. The test accuracies of CNN models in three-class classification diagnosis and binary classification diagnosis were 72.00% and 77.42%, respectively. CONCLUSIONS ML-based predictive models using different programming languages and different computing platforms were useful for classifying clinical diagnoses in patients with epiphora and were similar to a clinician's diagnostic ability.

PURPOSE: This study was to identify the effectiveness of high-intensity laser therapy on pain and function of a frozen shoulder. METHODS: Thirty patients were assigned to two groups: the experimental group (n=15) and the control group (n=15). Both groups received traditional therapy for 4 weeks, 3 days a week. The experimental group, however, received an additional high intensity laser therapy. Pain was measured using the visual analogue scale (VAS). The functional ability was measured using the patient specific functional scale (PSFS). A paired t-test was used to determine any differences before and after the treatment, and an independent t-test was used to determine any differences between treatment groups. RESULTS: Both groups showed a statistically significant difference for VAS and PSFS score (p<0.05). In comparison between two groups, more experimental group than control group statistically significant difference (p<0.05). CONCLUSION: There seems to be a positive effect on pain and function of frozen shoulder from using high intensity laser therapy.
Bursitis* ; Humans ; Laser Therapy*

PURPOSE: The purpose of this study was to examine the effects of spinal decompression therapy on pain and disability in patients with chronic low back pain. METHODS: Twenty patients with chronic low back pain were divided into an experimental group (spinal decompression therapy, n=10) and a control group (conservative physical therapy, n=10). Both groups were treated three times a week over a four-week period. RESULTS: The comparison of between-group changes post-treatment revealed statistically significant lower levels of pain and disability in the experimental group than the control group. The comparison of within each group changes before and after the treatment showed statistically significant declines in pain and disability indexes of both groups. CONCLUSION: Spinal decompression therapy may be an effective intervention for improving pain and disability in patients with chronic low back pain.
Decompression* ; Humans ; Low Back Pain*

PURPOSE: To report the first domestic case of choroidal neovascularization in a choroideremia patient treated with intravitreal bevacizumab injection. CASE SUMMARY: A 29-year-old male presented with a sudden decline in vision in the left eye. Fundus examination revealed areas of choriocapillaries and retinal pigment epithelium atrophy with macular hemorrhage. Fluorescein angiogram revealed vascular hyperfluorescence in the juxtafoveal area. Neurosensory detachment around the macula and increased central macular thickness was also observed using optical coherence tomography. Upon the diagnosis of choroideremia with choroidal neovascularization, the patient was treated with 1.25 mg intravitreal bevacizumab. Visual acuity improved after four injections of intravitreal Bevacizumab with improvement in both detachment and fluorescein leakage. CONCLUSIONS: In patients with choroideremia presenting sudden decline in vision, ophthalmologists should detect for possible choroidal neovascularization. The results from the present study show that judicious use of intravitreal Bevacizumab may be effective in such cases. Further studies with a large sample size and sufficiently long follow-up periods are required.
Adult ; Antibodies, Monoclonal, Humanized ; Atrophy ; Choroid ; Choroidal Neovascularization ; Choroideremia ; Eye ; Fluorescein ; Follow-Up Studies ; Hemorrhage ; Humans ; Male ; Retinal Pigment Epithelium ; Sample Size ; Tomography, Optical Coherence ; Vision, Ocular ; Visual Acuity ; Bevacizumab

PURPOSE: To report a case of a macular hole resulting from accidental exposure to tattoo removal by the Q-Switched Nd:YAG laser, which was treated successfully by vitrectomy and silicone oil infusion. CASE SUMMARY: A 33-year-old man presented with decreased visual acuity after accidental exposure to a Q-Switched Nd:YAG laser. According to fundus examination, vitreous hemorrhage and macular edema were observed. After 21 days, a macular hole had developed which was treated by standard pars plana vitrectomy and gas tamponade. Unfortunately, closure was not obtained on the first attempt. Therefore, a second attempt using silicone oil infusion was performed. Four months after the initial visit, BCVA had increased to 20/50, and anatomical occlusion was achieved. CONCLUSIONS: The authors of the present study experienced an unusual case of macular hole developed from the Q-Switched Nd:YAG laser used to remove a tattoo. A satisfactory visual acuity was achieved after silicone oil infusion despite failure in the first surgery.
Adult ; Humans ; Macular Edema ; Retinal Perforations ; Silicone Oils ; Visual Acuity ; Vitrectomy ; Vitreous Hemorrhage