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PubMed2004

[Quality control in coprology].

Quality control in medical laboratories was defined in guidelines for good execution of laboratory analyses issued by the French health authorities in 1994. Application of these guidelines is difficult in coprology because the sample is a complex heterogeneous matrix which varies with disease, surgery, food intake, and treatment. In addition, commercial quality control kits are not available for stool biochemical analyses and a national quality control program has not been established. We thus developed our own fecal quality control technique using pooling lyophylized stool samples. Manual or partially automated methods are used in coprology, leading to a long pre-analysis phase which is not always taken into account in quality control. This implies the need for complementary tools to insure the quality of coprology analyses. For example, semi-quantitative microscopic lipid analysis can be used as an internal standard for a given specimen. Quality assurance also involves a post-analytical phase where results obtained for a given specimen are compared with other available data and interpreted in light of the patient's clinical and therapeutic status. This quality assurance strategy enables accurate reliable results useful for long-term patient management.

Animals↗
PubMed1998

A system to simulate gas exchange in humans to control quality of metabolic measurements.

We have developed a gas exchange simulation system (GESS) to assess the quality control in measurements of metabolic gas exchange. The GESS simulates human breathing from rest to maximal exercise. It approximates breath-by-breath waveforms, ventilatory output, gas concentrations, temperature and humidity during inspiration and expiration. A programmable motion control driving two syringes allows the ventilation to be set at any tidal volume (VT), respiratory frequency (f), flow waveform and period of inspiration and expiration. The GESS was tested at various combinations of VT (0.5-2.51) and f(10-60 stroke x min(-1)) and at various fractional concentrations of expired oxygen (0.1294-0.1795); and carbon dioxide (0.0210-0.0690) for a pre-set flow waveform and for expired gases at the same temperature and humidity as room air. Expired gases were collected in a polyethylene bag for measurement of volume and gas concentrations. Accuracy was assessed by calculating the absolute and relative errors on parameters (error=measured-predicted). The overall error in the gas exchange values averaged less than 2% for oxygen uptake and carbon dioxide output, which is within the accuracy of the Douglas bag method.

Carbon Dioxide↗
PubMed1991

A quality control method in cardiac surgical outcome: experience in 462 patients.

The aim of our study is to verify the reliability, reproductiveness and simplicity of a method to control cardiac surgical results. We divided 462 adult patients, operated on for acquired heart disease from October 1989 to January 1991, into five classes according to an individual score which was predictive for their operative mortality risk. The score resulted from 15 different risk factors tested with univariate and multivariate analysis against one event: operative death. The total number of deaths was 12: 2, 2, 1, 2, 5 for each class respectively. When comparing the predicted versus our observed mortality, we found no statistically significant difference, using the chi-squared test. The method we used is highly predictive for surgical mortality risk: it makes the results objectively comparable among different institutions; it is useful as a self-controlled quality method for cardiac surgical activity in any single institution.

Adolescent↗
PubMed1996

Quality control in the United States.

On a per capita basis, PTCA is more than three times more prevalent in the United States than in any other country. The US has nearly 1,000 institutions and 7,000 physicians doing angioplasty. Mortality and emergency bypass surgery rates are inversely proportional to angioplasty volume. Although PTCA is more prevalent in the United States, operators in other countries do more cases than do their US counterparts. Multiple forces control quality in the United States. Economic, political and legal forces are all important.

Angioplasty, Balloon, Coronary↗
PubMed1999

Gatifloxacin (AM-1155, CG 5501) susceptibility testing interpretive criteria and quality control guidelines for dilution and disk (5-microgram) diffusion methods. The Quality Control Study Group.

Gatifloxacin (formerly AM-1155 and CG5501), a new 8-methoxy fluoroquinolone, has an expanded spectrum of activity against Gram-positive cocci and some anaerobic bacteria. This compound was tested against 600 recent clinical strains of rapidly growing aerobic species to establish susceptibility testing interpretive criteria for the reference broth microdilution and standardized disk (5-microgram) diffusion methods of the National Committee for Clinical Laboratory Standards (NCCLS). These strains included 285 Enterobacteriaceae (17 species), 165 staphylococci, 49 enterococci, and 101 nonfermentative Gram-negative bacilli. Based on achievable serum levels with projected gatifloxacin dosing regimens, MIC break points of < or = 2 micrograms/mL (> or = 18 mm) for susceptibility and > or = 8 micrograms/mL (< or = 14 mm) for resistance were selected. The absolute agreement between tests was 94.3% with no very major false-resistant errors. The quality control ranges (MIC and zone diameters) for the NCCLS recommended strains were determined in a nine-laboratory NCCLS protocol as follows: Escherichia coli ATCC 25922 = 0.008-0.03 microgram/mL and 31-37 mm; Enterococcus faecalis ATCC 29212 = 0.12-1 microgram/mL; Pseudomonas aeruginosa ATCC 27853 = 0.5-2 micrograms/ml and 21-27 mm; Staphylococcus aureus ATCC 25923 = 27-33 mm and S. aureus ATCC 29213 = 0.03-0.12 microgram/mL. Gatifloxacin appears to be a promising new fluoroquinolone with acceptable susceptibility testing methods for routine clinical laboratory use.

Anti-Infective Agents↗
PubMed2000

[Quality control in hemodialysis: quality assurance process].

The development of a quality assurance step in hemodialysis replies to the needs of the accreditation process defined in the hospital reform and the related ordinances edited in April 1996. This global concept is set to continuously improve the quality care and the outcomes of the hemodialysis patients. The thought behind this work has two objectives: provide guidelines to guaranty quality and adequacy of hemodialysis treatment schedule in ESRD patients; anticipate standard rules edited by regulatory authorities for quality indices and control process in hemodialysis. The final aim of this work is also to demonstrate that the quality assurance process in hemodialysis should not be perceived as an extra administrative burden but rather as a new opportunity to establish good medical practice rules in the peculiar domain of renal replacement therapy.

Accreditation↗
PubMed2002

[Internal quality control of cytology].

Quality control on cytology in Japan has not been sufficiently carried out. Herein, we describe the current internal quality control on cytology in Japan, and introduce our experience in Kawasaki Medical School. We come up against many difficulties to establish internal quality control, such as a lack of understanding and a manpower, special circumstances on diagnostics, a wage differential, and legal controls. To begin with, we should recognize an importance of quality control.

Cytodiagnosis↗
PubMed1998

The Italian quality control study for evaluation of CD4 cells in centres involved in the treatment of HIV-1 patients. Italian CD4 Quality Control Group.

We report on the experience of establishing a national network for a quality control programme in evaluating CD4 cell counts in most Italian centres involved in the care of patients with HIV disease. The 68 centres were divided according to their geographical location into eight groups, and twice a year (tests A and B) they received three coded whole blood samples (two were replicates of the same sample) obtained from two informed HIV+ patients, one with CD4 counts/mm3 expected to be < 200 and one with values > 300. The medians of the determinations performed by the labs involved in each of the eight areas were taken as the 'true' values for each sample. Unsatisfactory performances for percentage of CD4 cells were identified as a CD4 analysis with residual values > or = +/- 5% and with deviates > or = +/- 2. For absolute numbers of CD4 cells, an unsatisfactory performance was defined as CD4 counts with residual > +/- 100 CD4 cells/mm3 and with deviates > or = +/- 2. The residual value is the CD4 value reported by each lab minus the median value. The deviate is the residual divided by the modified interquartile range (IQR x 0.75). Most of the centres provided reliable results. However, some labs failed to provide satisfactory results for percentages (6.25% of the tested labs for test A and 6.17% for test B) or absolute numbers (16.25% test A and 12.34% test B). Only 3.7% of the labs gave unsatisfactory results in both tests. Four of the unsatisfactory results from the two tests gave an error in absolute numbers > +/- 200 CD4 cells/mm3. Our data suggest that most Italian labs provide reliable results in evaluating the numbers of CD4 cells in HIV-1+ samples, but the importance of running a quality control programme is highlighted by our experience with those centres which provide unsatisfactory data which may lead to incorrect classification of the patients or assessment of treatment.

CD4 Lymphocyte Count↗
PubMed1996

Quality control of proliferation marker (MIB-1) in image analysis systems utilizing cell culture-based control materials.

Standard controls for quality control of cell growth (proliferation) assays in image analysis systems are not currently available. The authors have developed a system of controls, based on cultured and harvested human cell lines, that can mimic tissue sections. These controls help ensure quality control for the entire cell proliferation analysis process, from the initial cutting of the paraffin block through fixation, immunohistochemical staining, and interactive image analysis. The use of cell line controls is advantageous because of the greater cell population homogeneity and the volume of uniform slides that are obtainable, as opposed to the use of a heterogeneous tissue sample. This system provides an excellent means of evaluating the day-to-day performance of cell proliferation analysis and may also be adapted for use as a method of multi-institutional proficiency testing.

Biomarkers, Tumor↗
PubMed1999

Process control procedures to augment quality control of leukocyte-reduced red cell blood products.

Quality control of leukocyte-reduced packed red cell units (LRprc) produced in blood facilities must conform to regulatory criteria, which state that units may not contain more than 1 x 10(6) to 5 x 10(6) white blood cells (WBC) per unit. The post-filtration WBC content of a total of n = 386 LRprc units was counted with a Nageotte chamber to model the probability that a unit would not meet the regulatory criteria. The distribution of the residual leukocyte counts is close to a negative binomial distribution (NBD) and is independent of the packed red cell volume filtered. The observed probability that a unit of blood has a residual WBC greater than 5 x 10(6) is 2.6 +/- 2.6 x 10(-3). A power analysis of the two-sample Kolmogorov-Smirnov (KS) test in this application shows that a sample size of 20 is sufficient for determining that the process is in control when an out of control process has a k NBD parameter greater than or equal to that of the in control process. The three out of control processes observed to date appear to have this property. A sample of size 80 may be necessary for confirming that process validation data sets conform to the larger 'reference' database (n = 386) for processes that are out of control in such a way that their k NBD parameter is less than the k parameter of the in control process.

Blood Component Removal↗
PubMed2003

[Selecting methods of controls concentration for internal quality control and continuity of control chart between different reagent lots for HBsAg qualitative detection].

OBJECTIVE: To establish a model for one choosing controls with a suitable concentration for internal quality control (IQC) with qualitative ELISA detection, and a consecutive plotting method on Levey-Jennings control chart when reagent kit lot is changed. METHODS: First, a series of control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg respectively were assessed for within-run and between-run precision according to NCCLs EP5 document. Then, a linear regression equation (y=bx + a) with best correlation coefficient (r > 0.99) was established based on S/CO values of the series of control serum. Finally, one could choose controls with S/CO value calculated from the equation (y = bx + a) minus the product of the S/CO value multiplying three-fold between-run CV to be still more than 1.0 for IQC use. For consecutive plotting on Levey-Jennings control chart when ELISA kit lot was changed, the new lot kits were used to detect the same series of HBsAg control serum as above. Then, a new linear regression equation (y2 = b2x2 + a2) with best correlation coefficient was obtained. The old one (y1 =b1x1 + a1) could be obtained based on the mean values from above precision assessment. The S/CO value of a control serum detected by new lot kit could be changed to that detected by old kit lot based on the factor of y2/y1. Therefore, the plotting on primary Levey-Jennings control chart could be continued. RESULTS: The within-run coefficient of variation CV of the ELISA method for control serum with 0.2, 0.5, 1.0, 2.0 and 5.0ng/ml HBsAg were 11.08%, 9.49%, 9.83%, 9.18% and 7.25%, respectively, and between-run CV were 13.25%, 14.03%, 15.11%, 13.29% and 9.92%. The linear regression equation with best correlation coefficient from a test at random was y = 3.509x + 0.180. The suitable concentration of control serum for IQC could be 0.5ng/ml or 1.0ng/ml. The linear regression equation from the old lot and other two new lots of the ELISA kits were y1 = 3.550(x1) + 0.226, y2 = 3.238(x2) +0.388, and y3 =3.428(x3) + 0.148, respectively. Then, the transferring factors of 0.960 (y2/y1) and 0.908 (y3/y1) were obtained. CONCLUSION: The results shows that the model established for IQC control serum concentration selecting and for consecutive plotting on control chart when the reagent lot is changed is effective and practical.

Enzyme-Linked Immunosorbent Assay↗
PubMedDate not supplied

[The SUVA (Swiss Accident Insurance Association) statistics and quality control].

Overall quality control in medicine takes place on various levels: Physician--Hospital--Insurer--Authorities, each having different requirements. Comparative standards are rather seldom. A model for a comparative standard for insurer purposes, the medical statistics package SUMEST' is presented. This model is diagnoses oriented and includes parameters for the severity of the accident, cost of treatment and treatment outcome, all based on 5-year data pool results.

Accidents, Occupational↗