Establishment, verification, and application of concentration intervals corresponding to dipstick grades for urinary protein.

BACKGROUND: To address the situation that the accuracy of concentration intervals (CI) corresponding to dipstick grades is not given by the manufacturers or literature, we developed a method that determined reasonable dipstick grades with concentration intervals (GCIs) based on the percent agreement (PA) and discussed the GCI application to comparability among currently dipstick tests. METHODS: By comparing the results of 2 dipstick tests (iChem and KU-500) with the quantitative test (AU5800), the GCIs were verified and established based on the PAs, which were calculated and used as an indicator of GCI's accuracy. The overlap (percent) between the 2 GCIs with the same grade (2 dipstick devices), was calculated and used to evaluate the agreement between their test results. RESULTS: After verification and adjustment, the GCI and PA combinations for iChem Velocity were as follows: - (<0.1 g/l, 85 %), ± (0.1-0.3 g/l, 66 %), 1+ (0.3-1 g/l, 78 %), 2+ (1-3 g/l, 74 %), 3+ (3-6 g/l, 77 %), and 4+ (≥6 g/l, 84 %). The determined GCI and PA combinations for KU-500 were: - (<0.1.2 g/l, 75 %), ± (0.12-0.5 g/l, 63 %), 1+ (0.5-1.2 g/l, 69 %), 2+ (1.2-3.2 g/l, 76 %), and 3+ (≥3.2 g/l, 82 %). The GCI overlaps between the 2 dipstick devices were - (83 %), ± (45 %), 1+ (56 %), 2+ (82 %), and 3+ or ≥3+ (94 %). The overall overlap was 72 %. Since the overlaps ± (45 %) and 1+ (56 %) were within the overlap reject limit for any grade (70 %), and the overall overlap (72 %) was within the overall overlap reject limit (80 %), the test results of the 2 devices were not comparable. CONCLUSIONS: GCIs can be verified and established correctly based on PAs, and industry standards for dipstick tests can be established based on GCIs and PAs. Comparability between dipstick devices, historical data, and literature data can be roughly determined based on the overlap.

[Changes in myocardial enzyme spectrum and electrocardiogram after Salmonella food poisoning].

OBJECTIVE: To study the changes in myocardial enzyme spectrum in relation to electrocardiogram (ECG) in Salmonella food poisoning. METHODS: The myocardial enzyme spectrum and ECG of 56 patients with Salmonella food poisoning were examined, with 34 normal subjects serving as the control group. RESULTS: In the food poisoning group, the myocardial enzyme activities was increased in 36 cases (64.29%) within 2 days after the poisoning and the ECG of 33 cases (58.93%) showed abnormal changes within 1-4 days. The levels of creatine phosphoskinase (CPK) and alpha-hydroxybutyrate acid dehydrogenase (alpha-HBDH) in poisoning group were obviously higher than those in the control group (P<0.01). CONCLUSION: Routine examination of myocardial enzyme spectrum and ECG helps define early changes in patients with Salmonella food poisoning for clinical treatment decision.