Our hospital comprises nine departments of internal medicine that specialize in different organs, and the Department of General Internal Medicine is one of these departments. The inpatient department has 30 beds for providing medical care, and education is provided for junior and senior residents. We examined the diagnoses in 593 cases (289 men, 304 women ; mean age, 64.2±21.2 years old) who were hospitalized in the Department of General Internal Medicine at this hospital between April 2007 and March 2008. The major diseases included pneumonia, 111 cases ; urinary tract infections, 44 cases ; infectious enteritis, 34 cases ; bronchial asthma, 24 cases ; fever of unknown origin, 12 cases ; heart failure, 11 cases ; viral infections 9 cases, diverticulitis, 8 cases ; malignant lymphoma, 7 cases ; infectious mononucleosis, 7 cases ; polymyalgia rheumatica, 6 cases ; and others. In order to provide diagnoses and treatments for cases in which no diagnosis could not be obtained on the first outpatient visit, for example, it is necessary to have a ward for general internal medicine as a location for providing medical care that is not limited to any specialized field.

BACKGROUND: We investigated the relationship between serum total carbon dioxide (CO₂) and bicarbonate ion (HCO₃⁻) concentrations in pre-dialysis chronic kidney disease (CKD) patients and devised a formula for predicting low bicarbonate (HCO₃⁻< 24 mmol/L) and high bicarbonate (HCO₃⁻ ≥ 24 mmol/L) using clinical parameters. METHODS: In total, 305 samples of venous blood collected from 207 pre-dialysis patients assessed by CKD stage (G1 + G2, 46; G3, 50; G4, 51; G5, 60) were investigated. The relationship between serum total CO₂ and HCO₃⁻ concentrations was analyzed using Pearson’s correlation coefficient. An approximation formula was developed using clinical parameters correlated independently with HCO₃⁻ concentration. Diagnostic accuracy of serum total CO₂ and the approximation formula was evaluated by receiver operating characteristic curve analysis and a 2 × 2 table. RESULTS: Serum total CO₂ correlated strongly with HCO₃⁻ concentration (r = 0.91; P < 0.001). The following approximation formula was obtained by a multiple linear regression analysis: HCO₃⁻ (mmol/L) = total CO₂ − 0.5 × albumin − 0.1 × chloride − 0.01 × (estimated glomerular filtration rate + blood glucose) + 15. The areas under the curves of serum total CO₂ and the approximation formula for detection of low bicarbonate and high bicarbonate were 0.981, 0.996, 0.993, and 1.000, respectively. This formula had superior diagnostic accuracy compared with that of serum total CO₂ (86.6% vs. 81.3%). CONCLUSION: Serum total CO₂ correlated strongly with HCO₃⁻ concentration in pre-dialysis CKD patients. An approximation formula including serum total CO₂ showed superior diagnostic accuracy for low and high bicarbonate compared with serum total CO₂.
Acid-Base Equilibrium ; Bicarbonates ; Carbon Dioxide ; Carbon ; Glomerular Filtration Rate ; Humans ; Linear Models ; Renal Insufficiency, Chronic ; ROC Curve

Background: Few studies have investigated the relationship between serum total carbon dioxide (CO2) concentration and bicarbonate ion (HCO3-) concentration in patients undergoing hemodialysis. We determined the agreement and discrepancy between serum total CO2and HCO3- concentrations and the diagnostic accuracy of serum total CO2 for the prediction of low (HCO3- < 24 mEq/L) and high (HCO3- ≥ 24 mEq/L) bicarbonate concentrations in hemodialysis patients. Methods: One hundred forty-nine arteriovenous blood samples from 84 hemodialysis patients were studied. Multiple linear regression analysis was used to determine factors correlated with HCO3- concentration. Diagnostic accuracy of serum total CO2 was evaluated using receiver operating characteristic curve analysis and a 2 × 2 table. Agreement between serum total CO2 and HCO3- concentrations was assessed using Bland-Altman analysis. Results: Serum total CO2 concentration was closely correlated with HCO3- concentration (β = 0.858, P < 0.001). Area under the curve of serum total CO2 for the identification of low and high bicarbonate concentrations was 0.989. Use of serum total CO2 to predict low and high bicarbonate concentrations had a sensitivity of 100%, specificity of 50.0%, positive predictive value of 96.5%, negative predictive value of 100%, and accuracy of 96.6%. Bland-Altman analysis showed moderate agreement between serum total CO2 and HCO3- concentrations. Discrepancies between HCO3- and serum total CO2 concentrations (serum total CO2 - HCO3- ≤ -1) were observed in 89 samples. Conclusion Serum total CO2 concentration is closely correlated with HCO3- concentration in hemodialysis patients. However, there is a non-negligible discrepancy between serum total CO2 and HCO3- concentrations.

Background: Few studies have investigated the relationship between serum total carbon dioxide (CO2) concentration and bicarbonate ion (HCO3-) concentration in patients undergoing hemodialysis. We determined the agreement and discrepancy between serum total CO2and HCO3- concentrations and the diagnostic accuracy of serum total CO2 for the prediction of low (HCO3- < 24 mEq/L) and high (HCO3- ≥ 24 mEq/L) bicarbonate concentrations in hemodialysis patients. Methods: One hundred forty-nine arteriovenous blood samples from 84 hemodialysis patients were studied. Multiple linear regression analysis was used to determine factors correlated with HCO3- concentration. Diagnostic accuracy of serum total CO2 was evaluated using receiver operating characteristic curve analysis and a 2 × 2 table. Agreement between serum total CO2 and HCO3- concentrations was assessed using Bland-Altman analysis. Results: Serum total CO2 concentration was closely correlated with HCO3- concentration (β = 0.858, P < 0.001). Area under the curve of serum total CO2 for the identification of low and high bicarbonate concentrations was 0.989. Use of serum total CO2 to predict low and high bicarbonate concentrations had a sensitivity of 100%, specificity of 50.0%, positive predictive value of 96.5%, negative predictive value of 100%, and accuracy of 96.6%. Bland-Altman analysis showed moderate agreement between serum total CO2 and HCO3- concentrations. Discrepancies between HCO3- and serum total CO2 concentrations (serum total CO2 - HCO3- ≤ -1) were observed in 89 samples. Conclusion Serum total CO2 concentration is closely correlated with HCO3- concentration in hemodialysis patients. However, there is a non-negligible discrepancy between serum total CO2 and HCO3- concentrations.

Objective: In order to ensure the safety of nursing home residents, it is very important to implement appropriate assistance to ensure compliance with necessary medication. The purpose of this study is to identify issues and to plan solutions for medication assistance.Design: We conducted a workshop involving care workers (CWs), nurses and pharmacists together.Methods: Using the KJ method, participants extracted problems related to medication assistance and planned solutions in a mixed group of CWs, nurses and pharmacists. Questionnaire surveys were conducted for the participants before, immediately after, and 3 months after the workshop.Results: A number of important and urgent issues related to medication assistance were identified. There were differences in the recognition patterns of the importance and urgency of the issues among the three categories of participants. In addition, many possible solutions were proposed. Among these solutions, 25% had been implemented by at least two participants. More than 75 % of participants felt that their awareness of the value of cooperation in medication assistance had been improved by participating in the workshop.Conclusion: These results suggest that a workshop with a group of CWs, nurses and pharmacists in one place is a useful approach for extracting problems and planning effective solutions related to cooperation in medication assistance.