Validation of the Saga Fall Injury Risk Model.

Background: Predicting fall injuries can mitigate the sequelae of falls and potentially utilize medical resources effectively. This study aimed to externally validate the accuracy of the Saga Fall Injury Risk Model (SFIRM), consisting of six factors including age, sex, emergency transport, medical referral letter, Bedriddenness Rank, and history of falls, assessed upon admission. Methods: This was a two-center, prospective, observational study. We included inpatients aged 20 years or older in two hospitals, an acute and a chronic care hospital, from October 2018 to September 2019. The predictive performance of the model was evaluated by calculating the area under the curve (AUC), 95% confidence interval (CI), and shrinkage coefficient of the entire study population. The minimum sample size of this study was 2,235 cases. Results: A total of 3,549 patients, with a median age of 78 years, were included in the analysis, and men accounted for 47.9% of all the patients. Among these, 35 (0.99%) had fall injuries. The performance of the SFIRM, as measured by the AUC, was 0.721 (95% CI: 0.662-0.781). The observed fall incidence closely aligned with the predicted incidence calculated using the SFIRM, with a shrinkage coefficient of 0.867. Conclusions: The external validation of the SFIRM in this two-center, prospective study showed good discrimination and calibration. This model can be easily applied upon admission and is valuable for fall injury prediction.

A Simple and Accurate Model for Predicting Fall Injuries in Hospitalized Patients: Insights from a Retrospective Observational Study in Japan.

BACKGROUND While several predictive models for falls have been reported such as we reported in 2020, those for fall "injury" have been unreported. This study was designed to develop a model to predict fall injuries in adult inpatients using simple predictors available immediately after hospitalization. MATERIAL AND METHODS This was a single-center, retrospective cohort study. We enrolled inpatients aged ≥20 years admitted to an acute care hospital from April 2012 to March 2018. The variables routinely obtained in clinical practice were compared between the patients with fall injury and the patients without fall itself or fall injury. Multivariable analysis was performed using covariables available on admission. A predictive model was constructed using only variables showing significant association in prior multivariable analysis. RESULTS During hospitalization of 17 062 patients, 646 (3.8%) had falls and 113 (0.7%) had fall injuries. Multivariable analysis showed 6 variables that were significantly associated with fall injuries during hospitalization: age (P=0.001), sex (P=0.001), emergency transport (P<0.001), medical referral letter (P=0.041), history of falls (P=0.012), and abnormal bedriddenness ranks (all P≤0.001). The area under the curve of this predictive model was 0.794 and the shrinkage coefficient was 0.955 using the same data set given above. CONCLUSIONS We developed a predictive model for fall injuries during hospitalization using 6 predictors, including bedriddenness ranks from official Activities of Daily Living indicators in Japan, which were all easily available on admission. The model showed good discrimination by internal validation and promises to be a useful tool to assess the risk of fall injuries.

External validation of a new predictive model for falls among inpatients using the official Japanese ADL scale, Bedriddenness ranks: a double-centered prospective cohort study.

BACKGROUND: Several reliable predictive models for falls have been reported, but are too complicated and time-consuming to evaluate. We recently developed a new predictive model using just eight easily-available parameters including the official Japanese activities of daily living scale, Bedriddenness ranks, from the Ministry of Health, Labour and Welfare. This model has not yet been prospectively validated. This study aims to prospectively validate our new predictive model for falls among inpatients admitted to two different hospitals. METHODS: A double-centered prospective cohort study was performed from October 1, 2018, to September 30, 2019 in an acute care hospital and a chronic care hospital. We analyzed data from all adult inpatients, for whom all data required by the predictive model were evaluated and recorded. The eight items required by the predictive model were age, gender, emergency admission, department of admission, use of hypnotic medications, previous falls, independence of eating, and Bedriddenness ranks. The main outcome is in-hospital falls among adult inpatients, and the model was assessed by area under the curve. RESULTS: A total of 3,551 adult participants were available, who experienced 125 falls (3.5%). The median age (interquartile range) was 78 (66-87) years, 1,701 (47.9%) were men, and the incidence of falls was 2.25 per 1,000 patient-days and 2.06 per 1,000 occupied bed days. The area under the curve of the model was 0.793 (95% confidence interval: 0.761-0.825). The cutoff value was set as - 2.18, making the specificity 90% with the positive predictive value and negative predictive value at 11.4% and 97%. CONCLUSIONS: This double-centered prospective cohort external validation study showed that the new predictive model had excellent validity for falls among inpatients. This reliable and easy-to-use model is therefore recommended for prediction of falls among inpatients, to improve preventive interventions. TRIAL REGISTRATION: UMIN000040103 (2020/04/08).

The Administration of Lemborexant at Admission is Not Associated with Inpatient Falls: A Multicenter Retrospective Observational Study.

Purpose: There has been no large-scale investigation into the association between the use of lemborexant, suvorexant, and ramelteon and falls in a large population. This study, serving as a pilot investigation, was aimed at examining the relationship between inpatient falls and various prescribed hypnotic medications at admission. Patients and Methods: This study was a sub-analysis of a multicenter retrospective observational study conducted over a period of 3 years. The target population comprised patients aged 20 years or above admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals. We extracted data on the types of hypnotic medications prescribed at admission, including lemborexant, suvorexant, ramelteon, benzodiazepines, Z-drugs, and other hypnotics; the occurrence of inpatient falls during the hospital stay; and patients' background information. To determine the outcome of inpatient falls, items with low collinearity were selected and included as covariates in a forced-entry binary logistic regression analysis. Results: Overall, 150,278 patients were included in the analysis, among whom 3,458 experienced falls. The median age of the entire cohort was 70 years, with men constituting 53.1%. Binary logistic regression analysis revealed that the prescription of lemborexant, suvorexant, and ramelteon at admission was not significantly associated with inpatient falls. Conclusion: The administration of lemborexant, suvorexant, and ramelteon at admission may not be associated with inpatient falls.

Effects of a 60-Minute Lecture About Diagnostic Errors for Medical Students: A Single-Center Interventional Study.

INTRODUCTION: The danger of diagnostic errors exists in daily medical practice, and doctors are required to avoid such errors as much as possible. Although various factors, including cognitive, system-related, and patient-related factors, are involved in the occurrence of diagnostic errors, the percentage of doctors with insufficient medical knowledge among those factors is extremely low. Therefore, lectures on diagnostic errors might also be useful for medical students without experience working as doctors. This study investigated whether a 60-minute lecture on diagnostic errors would enable Japanese medical students to consider the factors involved in diagnostic errors and how their perceptions of diagnostic errors change. METHODS AND MATERIALS: This single-center interventional study was conducted in October 2022 among fourth-year medical students at the Faculty of Medicine, Saga University. A questionnaire survey was conducted before and immediately after the lecture to investigate changes in the perceptions of medical students regarding diagnostic errors. One mock case question was given on an exam the day after the lecture, and the number of responses to cognitive biases and system-related and patient-related factors involved in diagnostic errors were calculated. RESULTS: A total of 83 students were analyzed. After the lecture, medical students were significantly more aware of the existence of the concept of diagnostic error, the importance of learning about it, their willingness to continue learning about it, and their perception that learning about diagnostic errors improves their clinical skills. They were also significantly less likely to feel blame or shame over diagnostic errors. The mean numbers of responses per student for cognitive bias, system-related factors, and patient-related factors were 1.9, 3.4, and 0.9, respectively. The mean number of responses per student for all factors was 5.6. CONCLUSION: A 60-minute lecture on diagnostic errors among medical students is beneficial because it significantly changes their perception of diagnostic errors. The results of the present study also suggest that lectures may enable Japanese medical students to consider the factors involved in diagnostic errors.

Validation and Improvement of the Saga Fall Risk Model: A Multicenter Retrospective Observational Study.

Purpose: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. Patients and Methods: This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. Results: Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). Conclusion: SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.

Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research.

Background: The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4, holds promise for improving diagnostic accuracy, but requires further exploration in handling atypical presentations. Objective: This study aimed to assess the diagnostic accuracy of ChatGPT in generating differential diagnoses for atypical presentations of common diseases, with a focus on the model's reliance on patient history during the diagnostic process. Methods: We used 25 clinical vignettes from the Journal of Generalist Medicine characterizing atypical manifestations of common diseases. Two general medicine physicians categorized the cases based on atypicality. ChatGPT was then used to generate differential diagnoses based on the clinical information provided. The concordance between AI-generated and final diagnoses was measured, with a focus on the top-ranked disease (top 1) and the top 5 differential diagnoses (top 5). Results: ChatGPT's diagnostic accuracy decreased with an increase in atypical presentation. For category 1 (C1) cases, the concordance rates were 17% (n=1) for the top 1 and 67% (n=4) for the top 5. Categories 3 (C3) and 4 (C4) showed a 0% concordance for top 1 and markedly lower rates for the top 5, indicating difficulties in handling highly atypical cases. The χ2 test revealed no significant difference in the top 1 differential diagnosis accuracy between less atypical (C1+C2) and more atypical (C3+C4) groups (χ²1=2.07; n=25; P=.13). However, a significant difference was found in the top 5 analyses, with less atypical cases showing higher accuracy (χ²1=4.01; n=25; P=.048). Conclusions: ChatGPT-4 demonstrates potential as an auxiliary tool for diagnosing typical and mildly atypical presentations of common diseases. However, its performance declines with greater atypicality. The study findings underscore the need for AI systems to encompass a broader range of linguistic capabilities, cultural understanding, and diverse clinical scenarios to improve diagnostic utility in real-world settings.

Clinical Clerkships in General Medicine Enable Students to Acquire Basic Medical Competencies and Experience in Community-Based Integrated Care: A Descriptive Questionnaire-Based Study.

Background No previous research has targeted educators regarding educational practice and the achievements of students in terms of the learning objectives of clinical clerkships in university general medicine departments of Japan. We aimed to clarify the characteristics of clinical clerkships in Japanese general medicine departments using a questionnaire administered to chairpersons of university general medicine departments. Methods This was a descriptive questionnaire-based study using Google Forms (Google, Inc., Mountain View, CA, USA). We asked the chairpersons of general medicine departments in Japanese universities the following questions, with responses given on a 5-point Likert scale: Question 1: How well are primary symptoms in the national model core curriculum for undergraduate medical education taught in clinical clerkships in university general medicine departments? Question 2: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in general medicine departments of university hospitals? Question 3: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in other community clinics or hospitals? The results of the questionnaire responses are described as mean±standard deviation. Results Of the 71 Japanese universities with general medicine departments, 43 were included in the analysis. For Question 1, the symptoms and pathophysiologies with a mean score of 4 points or higher were fever, general malaise, anorexia, weight loss or gain, edema, abdominal pain, lymphadenopathy, and headache. All those symptoms require basic medical competencies. For Questions 2 and 3, the intramural clinical clerkship of general medicine departments had a higher mean score than the extramural clinical clerkship for diagnostic reasoning that emphasizes medical history and physical examination and a comprehensive approach to patients with multiple health problems. In contrast, the extramural clinical clerkship, in which medical students can build experience with community-integrated care, had a mean score of 3 points or higher for all items. Conclusions The clinical clerkship in general medicine departments of Japanese universities provides students with chances to acquire clinical competencies regarding primary symptoms and pathophysiologies. Additionally, the extramural clinical clerkship provides experience in community-based integrated care, including home medical care, collaboration, health and welfare, and long-term care.

Helicobacter cinaedi Infection Presenting with Myalgia and Cellulitis.

BACKGROUND Helicobacter cinaedi is a rare bacterium, accounting for only 0.2% of the positive isolates in blood cultures. Previous reports note that patients with H. cinaedi infection often have underlying diseases. H. cinaedi infection is diagnosed by blood culture. However, because of the slow growth of this bacterium in blood culture, the diagnosis can be missed. CASE REPORT A 78-year-old man gradually developed erythema and pain in his left arm, then left shoulder and both lower legs. The patient presented to our hospital on day 17. He was afebrile, but the examination was remarkable for tenderness in both gastrocnemius muscles and erythema from the distal left lower leg to the ankle. We suspected pyomyositis and cellulitis and started oral administration of amoxicillin-clavulanate. On day 22, H. cinaedi was detected in blood cultures. Based on these findings, we diagnosed pyogenic myositis and cellulitis caused by H. cinaedi bacteremia. On day 24, antibiotic therapy was changed to intravenous ampicillin, and symptoms improved. Additional examination did not reveal any underlying immunodeficiency disorder, such as malignancy or HIV infection. CONCLUSIONS H. cinaedi infection can occur in healthy patients. Myalgia can be caused by pyogenic myositis because of bacteremia. In cases of myalgia or cellulitis of unknown etiology, blood cultures can be useful when bacteremia is suspected; blood samples should be monitored over an extended period.

Listeria meningitis diagnosed by blood culture with fever, neurological symptoms, and no meningeal irritation signs.

Key Clinical Message: Listeria can cause neurological symptoms in immunocompromised and older patients. Additionally, it is impossible to rule out meningitis by the absence of typical meningeal irritation signs. Therefore, patients with fever and neurological impairments should be rapidly examined for blood and cerebrospinal fluid cultures to rule out Listeria meningitis. Abstract: A woman in her 90s developed fever, dysarthria, and transient disturbance of consciousness. Physical examination revealed no meningeal irritation signs. Listeria monocytogenes were detected in her blood culture the following day. Because of an increased number of cells in cerebrospinal fluid, she was diagnosed with Listeria meningitis.

Willingness to Select Initial Clinical Training Hospitals Among Medical Students at a Rural University in Japan: A Single-Center Cross-Sectional Study.

Purpose: Many countries will be aged societies by 2060. As a super-aged society, Japan may offer a valuable reference point. The number of medical residents and doctors working at university hospitals in Japan has halved since 2004, resulting in serious shortages of doctors in rural areas. This study clarified factors influencing medical students to choose university hospitals as facilities for their initial training or to only choose community hospitals. Methods: This single-center cross-sectional study was conducted in a typical rural city in Japan from February to March 2021. Data were collected using a questionnaire developed from a narrative review and discussion among four researchers. The participants were divided into those who chose university hospitals and those chose only community hospitals for logistic regression analysis. Results: Of the 300 students who answered the questionnaire (46.4% response rate), 291 agreed to participate in the study. At the time, 93 students had not decided where to undertake initial training, and were excluded. Of the 198 analyzed students, 113 (57.1%) had chosen university hospitals. Significant factors affecting students' choices were "good salary or fringe benefits" (odds ratio [OR] 2.6, 95% confidence interval [CI]: 1.3-5.2) in the community hospital group, and "desire to have contact with doctors practicing in a medical setting before starting hospital training in the fifth and sixth grade" (OR 0.4, 95% CI: 0.2-0.8) and "prefer Saga Prefecture for initial training" (OR 0.2, 95% CI: 0.1-0.4) among the university hospital group. Conclusion: University hospitals could offer a good salary or fringe benefits to secure residents. Other useful measures include preferential admission of students who pledge to work in the prefecture of their medical school after graduation and facilitating contact between motivated students and senior doctors before starting hospital training.

Reasons for medical students selecting a rural prefecture in Japan for initial clinical training: a single-center-based cross-sectional study.

Objective: Securing a sufficient number of medical residents to work in rural areas is an urgent issue. This study sought to clarify the factors that cause medical students at a rural university in Japan to select a particular place for their initial clinical training. Materials and Methods: A questionnaire was administered to all medical students at Saga University between February and March 2021. Participants were divided into two groups based on their training location choice: those who chose Saga Prefecture (Saga group) and those who selected other prefectures (non-Saga group). Then, logistic regression analysis was performed. Results: The questionnaire was answered by 300 students (46.3% response rate), of whom 291 agreed to participate in the study; 122 (41.9%) and 169 (58.1%) students were allocated to the Saga and non-Saga groups. Within the Saga group, the following factors were statistically significant: being admitted to Saga University's medical school through the system of special allotment of admission to applicants pledging to work in Saga Prefecture following graduation (or regional quota programs for admission) (odds ratio [OR], 19.18; 95% confidence interval [CI], 6.99-52.60); and being from Saga Prefecture (OR, 6.05; 95% CI, 2.24-16.35). With the non-Saga group, the desire to work in an urban area (OR, 0.03; 95% CI, 0.00-0.37) was statistically significant. Conclusion: To encourage medical residents to choose this prefecture for their initial clinical training, the focus should be on medical students who are from Saga Prefecture or admitted through the regional quota program.

Massive splenomegaly requiring differential diagnosis of hematologic malignancies.

An 85-year-old woman presented with pain and a palpable mass in her left flank. Abdominal computed tomography revealed massive splenomegaly and para-aortic lymphadenopathies. Bone marrow biopsy showed CD79a, CD20, and bcl-2-positive atypical lymphocytes, which led to the diagnosis of splenic marginal zone lymphoma.

Hands-on Clinical Clerkship at the Department of General Medicine in a University Hospital Improves Medical Students' Self-Evaluation of Skills of Performing Physical Examinations and Informed Consent: A Questionnaire-Based Prospective Study.

Introduction: The educational effects of a hands-on clinical clerkship on medical students at the Department of General medicine of Japanese university hospitals remain to be clarified. This study aimed to determine how such education affects medical students' self-evaluation of their clinical skills. Methods: We enrolled 5th-year-grade students at the Department of General Medicine, Saga University Hospital, Japan in 2017. The students were divided into those who were going to have Japanese traditional-style observation-based training mainly in the outpatient clinic (Group O) and those in the 2018, new-style, hands-on clinical clerkship as one of the group practice members in outpatient and inpatient clinics (Group H). A questionnaire survey using the 4-point Likert scale for self-evaluation of the students' clinical skills at the beginning and the end of their training was conducted in both groups. The pre- and post-training scores of each item in both groups were compared and analyzed using the Mann-Whitney test. Results: All 99 students in Group O and 121 of 123 students in Group H answered the questionnaires. The response rate was 99%. Two items regarding the abilities of "can perform a systemic physical examination quickly and efficiently" and "can clearly explain the current medical condition, therapeutic options, or risks associated with treatment, and discuss the process for obtaining informed consent" showed higher scores in the post-training survey in Group H than in Group O. There were no differences in these scores in the pre-training survey between the two groups. Conclusion: A hands-on clinical clerkship at the Department of General medicine in a university hospital in Japan provided medical students with higher self-confidence in their skills of performing a physical examination and better understanding of patients' treatment options and the process of informed consent than observation-based training.

Evaluating educational performance and achievements of faculty in general medicine departments of Japanese universities.

A cross-sectional questionnaire-based study was conducted to examine whether the educational performance and achievements are appropriately recognized and contribute to their promotion in university hospitals. We found that the chairpersons of those general medicine departments believed that educational performance had not been appropriately evaluated; educational achievements did not receive sufficient consideration for promotion compared with the performance and achievements related to clinical and research activities.

History of Falls and Bedriddenness Ranks are Useful Predictive Factors for in-Hospital Falls: A Single-Center Retrospective Observational Study Using the Saga Fall Risk Model.

Introduction: In our former study, we had validated the previously developed predictive model for in-hospital falls (Saga fall risk model) using eight simple factors (age, sex, emergency admission, department of admission, use of hypnotic medications, history of falls, independence of eating, and Bedriddenness ranks [BRs]), proving its high reliability. We found that only admission to the neurosurgery department, history of falls, and BRs had significant relationships with falls. In the present study, we aimed to clarify whether each of these three items had a significant relationship with falls in a different group of patients. Methods: This was a single-center based, retrospective study in an acute care hospital in a rural city of Japan. We enrolled all inpatients aged 20 years or older admitted from April 2015 to March 2018. We randomly selected patients to fulfill the required sample size. We performed multivariable logistic regression analysis using forced entry on the association between falls and each of the eight items in the Saga fall risk model 2. Results: A total of 2932 patients were randomly selected, of whom 95 (3.2%) fell. The median age was 79 years, and 49.9% were men. Multivariable analysis showed that female sex (odds ratio [OR] 0.6, 95% confidence interval [CI] 0.39-0.93, p = 0.022), having a history of falls (OR 1.9, 95% CI 1.16-2.99, p = 0.010), requiring help with eating (OR 1.9, 95% CI 1.12-3.35, p = 0.019), BR of A (OR 6.6, 95% CI 2.82-15.30, p < 0.001), BR of B (OR 7.5, 95% CI 2.95-19.06, p < 0.001), and BR of C (OR 4.1, 95% CI 1.53-11.04, p = 0.005) were significantly associated with falls. Conclusion: History of falls and BRs were independently associated with in-hospital falls.

Criterion-related validity of Bedriddenness Rank with other established objective scales of ADLs, and Cognitive Function Score with those of cognitive impairment, both are easy-to-use official Japanese scales: A prospective observational study.

AIM: Bedriddenness Rank (BR) and Cognitive Function Score (CFS), issued by the Ministry of Health, Labour and Welfare, Japan, are easy-to-use and widely used in the medical and long-term care insurance systems in Japan. This study aims to clarify the criterion-related validity of the CFS with the Mini-Mental State Examination (MMSE) and ABC Dementia Scale (ABC-DS), and to re-evaluate the criterion-related validity of BR with the Barthel Index (BI) or Katz Index (KI) in more appropriate settings and a larger population compared with the previous study. METHODS: A single-center prospective observational study was conducted in an acute care hospital in a suburban city in Japan. All inpatients aged 20 years or older admitted from October 1, 2018 to September 30, 2019. The relationship between BR and the BI and KI, and the relationship between CFS and the MMSE and ABC-DS were analyzed using Spearman's correlation coefficients. RESULTS: We enrolled 3,003 patients. Of these, 1,664 (56%) patients exhibited normal BR. The median (interquartile range) values of the BI and KI were 100 (65-100) and 6 (2-6), respectively. Spearman's rank correlation coefficients between BR and the BI and KI were -0.891 (p < 0.001) and -0.877 (p < 0.001), respectively. Of the patients, 1,967 (65.5%) showed normal CFS. The median (interquartile range) MMSE of 951 patients with abnormal CFS and ABC-DS of all patients were 15 (2-21) and 117 (102-117), respectively. Spearman's rank correlation coefficients between CFS and MMSE and ABC-DS were -0.546 (p < 0.001) and -0.862 (p < 0.001), respectively. CONCLUSIONS: BR and CFS showed significant criterion-related validity with well-established but complicated objective scales for assessing activities of daily living and cognitive functions, respectively. These two scales, which are easy to assess, are reliable and useful in busy clinical practice or large-scale screening settings.

General Medicine Departments of Japanese Universities Contribute to Medical Education in Clinical Settings: A Descriptive Questionnaire Study.

Background: It is unclear how much effort Japanese university general medicine (GM) departments, which teach basic medical skills and have a high affinity for clinical practice, devote to medical education, particularly undergraduate education. This study aimed to clarify the contribution of GM departments of Japanese universities to medical education. Patients and Methods: This was a questionnaire-based descriptive study of GM departments of Japanese universities. We sent the questionnaire created using Google Forms by email, and the universities responded by Internet. The department chairperson of the universities' main hospital was responsible for completing the questionnaire. It covered the number of staff, inpatients over the previous 3 years, affiliated hospitals, classroom lectures, and practical training sessions per year for each academic year in medical faculty and students accepted for clinical clerkship. Items also included the effort for clinical training, research, and education and the effort for undergraduate, initial clinical residency, and specialty program training. Results: In all, 46 of 71 universities responded, and we included 43 in our analysis. The median number of medical staff was 7; the median number of inpatients over the previous 3 years was 76. The median number of classroom lectures of the GM department was 1 for 1st-year, 5 for 3rd-year, 9 for 4th-year, and 0 for 2nd-, 5th-, and 6th-year students. The median total number of accepted students for clinical clerkship was 120. The median educational effort of the GM department was 30. With total educational effort set at 100, the median effort for undergraduate education was 45, for postgraduate residency 30, and for specialty program training 20. Conclusion: The undergraduate medical education by GM departments of Japanese universities was provided mainly in clinical settings for almost all medical students. A focus on exposing students to GM in early academic years would improve the educational environment.

Invasive pneumococcal disease: a diagnostic challenge due to multiple portals of causative bacteria.

A 64-year-old woman was transferred to our hospital because of fever, painful swelling in upper jaw, back pain and dysuria. She was in shock and physical examinations revealed tenderness on maxillary sinus, cellulitis in the right foot, hypoesthesia in both lower extremities and groin, mild weakness in both lower extremities, and bladder and rectal dysfunctions. Blood examination showed elevated white cell count and C reactive protein, and urinalysis revealed urinary tract infection. Spinal MRI detected spondylodiscitis with epidural abscess. After detection of Streptococcus pneumoniae by cultures of blood and fluid from lumbar abscess, she was consequently diagnosed with invasive pneumococcal disease likely secondary to acute exacerbation of chronic sinusitis. Pyogenic spondylitis or epidural abscess is a rare but serious complication of invasive pneumococcal disease. Furthermore, S. pneumoniae should be suspected as a causative organism when seeing a patient with severe infectious diseases complicated with sinusitis.