(1) Background: Elizabethkingia spp. is an emerging nosocomial pathogen which causes mostly blood stream infection and nosocomial pneumonia. Among Elizabethkingia species, Elizabethkingia anophelis is the major pathogen, but misidentification as Elizabethkingia meningoseptica is a common problem. Elizabethkingia also possesses broad antibiotic resistance, resulting in high morbidity and mortality of the infection. The aim of our study was to review Elizabethkingia intra-abdominal infections and investigate resistance mechanisms against TMP/SMX in Elizabethkingia anophelis by whole genome sequencing. (2) Methods: We retrospectively searched records of patients with Elizabethkingia intra-abdominal infection between 1990 and 2019. We also conducted whole genome sequencing for a TMP/SMX-resistant Elizabethkingia anophelis to identify possible mechanisms of resistance. (3) Results: We identified a total of nine cases of Elizabethkingia intra-abdominal infection in a review of the literature, including our own case. The cases included three biliary tract infections, three CAPD-related infection, two with infected ascites, and two postoperation infections. Host factor, indwelling-catheter, and previous invasive procedure, including surgery, play important roles in Elizabethkingia infection. Removal of the catheter is crucial for successful treatment. Genomic analysis revealed accumulated mutations leading to TMP/SMX-resistance in folP. (4) Conclusions: Patients with underlying disease and indwelling catheter are more susceptible to Elizabethkingia intra-abdominal infection, and successful treatment requires removal of the catheter. The emerging resistance to TMP/SMX may be related to accumulated mutations in folP.

(1) Background: Chronic kidney disease (CKD) affects more than 800 million global population. Early detection followed by clinical management is among the best approaches for the affected individuals. However, a sensitive screening tool is not yet available. (2) Methods: We retrospectively reviewed 600 patients aged >20 years with a full range of estimated glomerular filtration rate (eGFR) for clinical assessment of kidney function between 1 January 2020, to 30 April 2021, at the Taichung Veterans General Hospital, Taichung, Taiwan. With stratified sampling based on the level of eGFR, participants were evenly grouped into training and validation sets for predictive modeling. Concurrent records of laboratory data from urine samples were used as inputs to the model. (3) Results: The predictive model proposed two formulae based on urine conductivity for detecting suspected early-stage CKD. One formula, P_male45, was for used male subjects aged ≥45 years, and it had a prediction accuracy of 76.3% and a sensitivity of 97.3%. The other formula, P_female55, was used for female subjects aged ≥55 years. It had a prediction accuracy of 81.9% and a sensitivity of 98.4%. Urine conductivity, however, had low associations with urine glucose and urine protein levels. (4) Conclusion: The two predictive models were low-cost and provided rapid detection. Compared to urine protein, these models had a better screening performance for suspected early-stage CKD. It may also be applied for monitoring CKD in patients with progressing diabetes mellitus.

Background: Immature platelet fraction (IPF) is a new biomarker for thrombopoiesis and inflammation. However, the reference interval (RI) is wildly discrepant among published reports. This study aimed to establish the RI of IPF for a population in Taiwan and evaluate the effects the detection method of the analyzer, ethnicity, and reference individuals have on the RI of IPF. Methods: The RI of absolute IPF (A-IPF) and IPF% were established with healthy subjects from the outpatient services of the Health Management Department of Taichung Veterans General Hospital between January 1, 2015 and March 1, 2016. These values were used along with published reports for meta-analysis. Results: A-IPF (10(9)/L) and IPF% of Taiwanese were 6.9 - 7.6 and 3.1 - 3.4, respectively. Significant differences were found when performing paired comparisons of the RI of A-IPF and IPF% published in reports. For A-IPF, there was only one paired comparison with a significant difference (Z > 1.96) across 6 reports. Thus, the contribution of the factors examined on the RI of IPF cannot be determined. For IPF%, there were 8 paired comparisons with significant differences across 10 reports. The discrepancy rates of RI for IPF% were 41.2%, 50.0%, and 25.0% with the difference of reference individuals, the analyzer method, and ethnicity, respectively. Conclusions: The RIs of Taiwanese for A-IPF and IPF% were established. Furthermore, the analyzer detection method and the reference individuals contribute to the discrepancy of the RI for IPF% and should be considered cautiously when the value of IPF is interpreted.

The COVID-19 pandemic has reaffirmed the critical significance of effective diagnostics in outbreak response. In Taiwan, the COVID-19 wave in May 2021 led to a rapidly growing demand for SARS-CoV-2 diagnostic tests. To meet the challenge, an extensive system-wide emergency preparedness plan, hospital emergency incident command system (HEICS), was developed to deal with emergencies involving healthcare systems. During the wave of the COVID-19 outbreak, a 19.4-fold increase in SARS-CoV-2 PCR (polymerase chain reaction) diagnostic tests occurred in the hospital. The incident commander of TCVGH reviewed COVID-19 related events daily and purchased a high-throughput PCR machine for SARS-CoV-2 PCR diagnostic tests. In addition, the Department of Operations was responsible for staff scheduling and educational training. The turn-around times of SARS-CoV-2 diagnostic tests were shortened from 21.2 hours to 5.8 hours in the second week of the COVID-19 wave. Implementation of HEICS integrated resources could be helpful for expanding surge capacity during future outbreaks.

Background: The waiting time (WT) for a phlebotomy is directly related to patient satisfaction with a health service. However, the processing time varies widely depending on the type of patients. Monitoring of the WT alone may not enable an effective evaluation of the lean performance of the medical staff for patients with different characteristics. The objective of this study was to use process cycle efficiency (PCE) to assess the performance of an intelligent tube preparation system (ITPS) which automatically labeled test tubes and conducted patient rerouting for phlebotomy services, and to interpret the WT during peak hours. Methods: Three time periods were used. The baseline period was from 1 July to 31 July 2014. Phase 1 was after the establishment of the ITPS, with patients ≥80 years old being rerouted. In phase 2, patients ≥78 years old were rerouted. Those data were recorded with a calling system and ITPS, respectively. Results: PCE was significantly improved from 12.9% at baseline to 51.1% (p < 0.001) in phase 1 and 53.0% (p < 0.001) in phase 2. The WT of 16.9 min at baseline was reduced to 3.8 min in phase 1 (p < 0.001), and 3.6 min in phase 2 (p < 0.001). Moreover, the results showed that a WT < 10 min was consistent with a PCE ≥ 25%. Conclusions: Establishing an ITPS for phlebotomy can significantly increase PCE and shorten the WT. Furthermore, the PCE ≥ 25% could be a good assessment reference for the management of appropriate human resources for phlebotomy services, although it is a complex parameter.