Purpose: The aim of this study was to assess the epidemiologic and clinical features of maternal Group B Streptococcus (GBS) colonization in vagina during their third trimester. Methods: This study included 644 pregnant women who had undergone GBS culture test in their third trimester in 2018. We collected data from the primary level of care maternity hospital through the retrospective chart review. We compared patients’ demographics, maternal obstetrical complications and neonatal adverse events between GBS positive (n=41) and GBS negative (n=603) groups. To find out clinical predictors of GBS positive result, univariable chi-square test and multivariable logistic regression analysis were applied. Results: The colonization rate of GBS in maternal vagina was 6.4% in their third trimester. GBS positive group showed significant association with the third trimester anemia (hemoglobin level <10.5 g/dL) (p=0.013) and oligohydramnios (p=0.024; odds ratio, 7.32; 95% confidence interval, 1.28–41.31). All specimens were susceptible to penicillin G and cephalosporin. The antibiotic resistance to both erythromycin and clindamycin was 31%. Conclusion The colonization rate of GBS in maternal vagina was 6.4% and third trimester maternal anemia was associated with the GBS carrying status.

This review aimed to summarize the complications and surgical outcomes of robot-assisted sacrocolpopexy. Nineteen original articles on 1,440 robotic sacrocolpopexies were reviewed, and three systematic reviews and meta-analyses were summarized in terms of intraoperative, perioperative, postoperative, and/or surgical outcomes. Robotic sacrocolpopexy has demonstrated low overall complication rates and favorable surgical outcomes. Nevertheless, long-term follow-up outcomes regarding objective and/or subjective prolapse recurrence, reoperation rates, and mesh-related complications remain unclear. Further research is required to demonstrate whether the robotic approach for sacrocolpopexy is feasible or can become the modality of choice in the future when performing sacrocolpopexy.

A 65-year-old-male had a mass in the oral cavity, and this was ultimately determined to be squamous cell carcinoma and he underwent wide excision for it. Postoperatively, he underwent the staging work up; this showed that he had other cancers in the esophagus, stomach and lung. We performed a curative resection of all the lesions simultaneously. We report here on a case of synchronous multiple cancers of the esophagus, stomach, lung and oral cavity.
Carcinoma, Squamous Cell ; Esophageal Neoplasms ; Esophagus ; Lung ; Lung Neoplasms ; Mouth ; Stomach

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

Objectives: Developing large language models (LLMs) in biomedicine requires access to high-quality training and alignment tuning datasets. However, publicly available Korean medical preference datasets are scarce, hindering the advancement of Korean medical LLMs. This study constructs and evaluates the efficacy of the Korean Medical Preference Dataset (KoMeP), an alignment tuning dataset constructed with an automated pipeline, minimizing the high costs of human annotation. Methods: KoMeP was generated using the DAHL score, an automated hallucination evaluation metric. Five LLMs (Dolly-v2-3B, MPT-7B, GPT-4o, Qwen-2-7B, Llama-3-8B) produced responses to 8,573 biomedical examination questions, from which 5,551 preference pairs were extracted. Each pair consisted of a “chosen” response and a “rejected” response, as determined by their DAHL scores. The dataset was evaluated when trained through two different alignment tuning methods, direct preference optimization (DPO) and odds ratio preference optimization (ORPO) respectively across five different models. The KorMedMCQA benchmark was employed to assess the effectiveness of alignment tuning. Results: Models trained with DPO consistently improved KorMedMCQA performance; notably, Llama-3.1-8B showed a 43.96% increase. In contrast, ORPO training produced inconsistent results. Additionally, English-to-Korean transfer learning proved effective, particularly for English-centric models like Gemma-2, whereas Korean-to-English transfer learning achieved limited success. Instruction tuning with KoMeP yielded mixed outcomes, which suggests challenges in dataset formatting. Conclusions KoMeP is the first publicly available Korean medical preference dataset and significantly improves alignment tuning performance in LLMs. The DPO method outperforms ORPO in alignment tuning. Future work should focus on expanding KoMeP, developing a Korean-native dataset, and refining alignment tuning methods to produce safer and more reliable Korean medical LLMs.

OBJECTIVE: This study aimed to compare perioperative and postoperative morbidity of older and younger women undergoing sacrocolpopexy (SCP). METHODS: A retrospective study included 271 patients who underwent laparotomic SCP for symptomatic pelvic organ prolapse from November 2008 to June 2013 at our institution. By the review of medical records, perioperative and postoperative data including the length of the surgery, estimated blood loss, blood transfusion, the length of hospital stay, wound complications and febrile morbidity were collected. In addition, cardiovascular, pulmonary, gastrointestinal, genitourinary, or neurological adverse events were retrieved. The need for an indwelling urinary catheter or performance of clean intermittent self-catheterization, mesh erosion rate and the number of days required for each were included in the postoperative outcomes. For the outcome variable analyzed in this study, the patients was dichomotized into women aged 65 and older and those younger than 65. RESULTS: One hundred and thirty-five (49.8%) patients were younger than 65 and 136 (50.2%) were aged 65 and older. Older women had higher body mass index, vaginal parity and prior surgery for hysterectomy than younger women (P<0.05). And older women had higher baseline comorbidities, such as hypertension, diabetes, cardiac disease (P<0.05), and their American society of Anesthesiologist class was higher (P<0.001). In the perioperative and postoperative complication, older group showed no differences in most of the operation-related complication rates, but gastrointestinal complication rate. Also, mesh erosion rate was not found to be significantly different between the two groups at the last visit. CONCLUSION: Older women undergoing laparotomic SCP have similar perioperative and postoperative morbidities as younger women, suggesting surgeons can counsel older and younger women similarly in terms of operative risks.
Blood Transfusion ; Body Mass Index ; Comorbidity ; Female ; Heart Diseases ; Humans ; Hypertension ; Hysterectomy ; Length of Stay ; Medical Records ; Parity ; Pelvic Organ Prolapse ; Postoperative Complications ; Retrospective Studies ; Urinary Catheters ; Wounds and Injuries

PURPOSE: Ultraviolet (UV) irradiation decreases epidermal hydration, which is maintained by reduction of natural moisturizing factors (NMFs). Among various NMFs, free amino acids (AA) are major constituents generated by filaggrin degradation. This experiment was conducted to determine whether or not dietary supplementation of green tea extract (GTE) in UV-irradiated mice can improve epidermal levels of hydration, filaggrin, free AAs, and peptidylarginine deiminase-3 (PAD3) expression (an enzyme involved in filaggrin degradation). METHODS: Hairless mice were fed a diet of 1% GTE for 10 weeks in parallel with UV irradiation (group UV+1%GTE). As controls, hairless mice were fed a control diet in parallel with (group UV+) or without (group UV-) UV irradiation. RESULTS: In group UV+, epidermal levels of hydration and filaggrin were lower than those in group UV-; these levels increased in group UV+1% GTE to levels similar to group UV-. Epidermal levels of PAD3 and major AAs of NMF, alanine, glycine and serine were similar in groups UV- and UV+, whereas these levels highly increased in group UV+1% GTE. CONCLUSION: Dietary GTE improves epidermal hydration by filaggrin generation and degradation into AAs.
Alanine ; Amino Acids ; Animals ; Diet ; Dietary Supplements ; Epidermis* ; Glycine ; Metabolism* ; Mice ; Mice, Hairless* ; Serine ; Tea*

BACKGROUND: Pulmonary sclerosing hemangioma is a rare thoracic tumor, and pathophysiology or clinical course of this tumor is not yet fully described. Furthermore, there is no consensus on the standard operative procedure for this tumor. MATERIAL AND METHODS: Medical records of thirty-two patients, who underwent surgical resection of pulmonary sclerosing hemangioma from 1996 to 2007, were retrospectively reviewed. RESULTS: Nineteen patients underwent lobectomy and thirteen patients underwent limited resection. Video-assisted thoracoscopic surgery was performed in 9 patients in the latter group. Lymph node dissection was done in 21 patients, and one patient was found to have lymph node metastasis of the tumor. There was no postoperative complication, no early death and no tumor-related late mortality. The mean follow-up duration was 39.3 months (2 months~129 months), and all patients were free of local recurrence and distant metastasis during this period. There was no significant difference in patient's characteristics between the two groups, except that the mean hospital stay was shorter in limited resection group than in lobectomy group (p=0.0031). CONCLUSION: Pulmonary sclerosing hemangioma usually requires surgical resection for both diagnosis and treatment. Limited resection can decrease hospital stay with a surgical outcome comparable to lobectomy, and may be preferred to lobectomy if sufficient resection margin can be achieved.
Consensus ; Follow-Up Studies ; Hemangioma ; Humans ; Length of Stay ; Lung Neoplasms ; Lymph Node Excision ; Lymph Nodes ; Medical Records ; Neoplasm Metastasis ; Postoperative Complications ; Pulmonary Sclerosing Hemangioma ; Recurrence ; Retrospective Studies ; Surgical Procedures, Operative ; Thoracic Surgery, Video-Assisted

Ectopic mediastinal parathyroid adenomas or hyperplasias account for up to 25% of primary hyperparathyroidism cases. Most abnormal parathyroid glands are found in the superior mediastinum within the thymus and can be removed through a cervical incision; however, a few of these glands are not accessible using standard cervical surgical approaches. Surgical resection has traditionally been performed via median sternotomy or thoracotomy. However, recent advancement in video-assisted thoracic surgery techniques has decreased the need for sternotomy or thoracotomy to remove these ectopic parathyroid glands. Here, we report a successful case of video-assisted thoracoscopic removal of a mediastinal parathyroid adenoma.
Hyperparathyroidism, Primary ; Hyperplasia ; Mediastinum ; Parathyroid Glands ; Parathyroid Neoplasms* ; Sternotomy ; Thoracic Surgery, Video-Assisted ; Thoracotomy ; Thymus Gland