We describe a simple method for displaying and evaluating the concordance or discordance between cytotechnologists (CTs) and cytopathologists (CPs) on gynecologic cases. The provisional diagnoses made by the CTs and the final diagnoses of the CPs are captured by the laboratory information system; data generated for specified periods are displayed as a 10 x 10 matrix that classifies each possible diagnosis made by the CT and CP into 1 of 10 major categories. Matrices are generated for the entire laboratory and for individual CTs; individual CTs are evaluated based on their deviation from the laboratory average. Three statistical measures are generated: percentage of discordant diagnoses, a kappa statistic, and a weighted measure. During a 2.5-year period, approximately 4,200 cases were referred to a CP for review every 6 months. The median discordance in diagnoses increased during 2 years from 21% to 34%, and the kappa value fell from 0.69 to 0.38. This was attributed primarily to 1 CT, whose performance, as well as that of the entire laboratory, improved after remedial action. Measures of CT-CP diagnostic concordance are a useful and efficient measure of CT performance and can be incorporated into mandatory semiannual performance evaluations.

To investigate whether the magnitude of blood flow contributes to ventilator-induced lung injury, 14 sets of isolated rabbit lungs were randomized for perfusion at either 300 (Group A: n = 7) or 900 ml/ min (Group B: n = 7) while ventilated with 30 cm H2O peak static pressure. Control lungs (Group C: n = 7) were ventilated with lower peak static pressure (15 cm H2O) and perfused at 500 ml/min. Weight gain, changes in the ultrafiltration coefficient (DeltaKf) and lung static compliance (CL), and extent of hemorrhage (scored by histology) were compared. Group B had a larger decrease in CL (-13 +/- 11%) than Groups A (2 +/- 6%) and C (5 +/- 5%) (p < 0.05). Group B had more hemorrhage and gained more weight (16.2 +/- 9.5 g) than Groups A (8.7 +/- 3.4 g) and C (1.6 +/- 1.0 g) (p < 0.05 for each pairwise comparison between groups). Finally, Kf (g . min-1 . cm H2O-1 . 100 g-1) increased the most in Group B (DeltaKf = 0.26 +/- 0. 20 versus 0.17 +/- 0.10 in Group A and 0.05 +/- 0.04 in Group C; p < 0.05 for B versus C). We conclude that the intensity of lung perfusion contributes to ventilator- induced lung injury in this model.

Fifty five percent of the Pakistani population is still unvaccinated with the two-dose protocol of COVID-19 vaccines. This study was undertaken to determine the seroconversion rate and antibody titers following the two-dose BBIBP-CorV protocol, and to compare these variables in unvaccinated, COVID-19 recovered individuals (total n = 180) at Indus Hospital and Health Network, Karachi. Pseudotyped lentivirus antibody neutralization assays and SARS-CoV-2 IgG Quant II (Abbott) immunoassays were performed 4-8 weeks following the second dose of the BBIBP-CorV or PCR positivity/onset of symptoms of COVID-19. Seroconversion rate, using neutralization assays, in vaccinated individuals was lower (78%) than that in unvaccinated, COVID-19-recovered individuals with moderate to severe infection (97%). Prior PCR positivity increased serocoversion rate to 98% in vaccinated individuals. Immunoassays did not, however, reveal significant inter-group differences in seroconversion rates (≥95% in all groups). Log10 mean antibody neutralizing titers following the two-dose BBIBP-CorV protocol (IC50 = 2.21) were found to be significantly less than those succeeding moderate to severe COVID-19 (IC50 = 2.94). Prior SARS-CoV-2 positivity significantly increased post-vaccination antibody titers (IC50 = 2.82). Similar inter-group titer differences were obtained using the immunoassay. BBIBP-CorV post-vaccination titers may, thus, be lower than those following natural, moderate to severe infection, while prior SARS-CoV-2 exposure increases these titers to more closely approximate the latter.

During a large outbreak of dengue serotype 3 in Pakistan in 2006, multiple serum samples were routinely collected for laboratory testing. Two hundred ninety-seven samples were collected between August and November 2006. Serological testing for dengue IgM was performed in Pakistan and polymerase chain reaction (PCR) testing for dengue RNA detection and serotyping were performed in Hong Kong. Dengue-specific IgM was detectable as early as 1 day, and dengue RNA remained detectable for up to 14 days, post-onset of illness. Further statistical analysis found that IgM status (positive, negative, or equivocal) was significantly correlated to clinical (duration of illness, severity of patient-reported arthralgia pain, the presence of any evidence of bleeding, a positive tourniquet test, shock), and other laboratory (platelet and total white cell counts) parameters. In contrast, the qualitative dengue RNA status (PCR positive or negative) was not statistically significantly correlated with any of these other parameters. The results for this population during this outbreak, obtained from single acute samples, demonstrate a wide range of intervals post-onset of illness during which dengue IgM and dengue RNA may be detected. Interestingly, in this study, the dengue IgM positivity correlates more closely with significant clinical illness than the dengue RNA positivity, which may be a feature specific to this particular outbreak.

We report our experience with flow cytometric (FC) analysis of 29 cases of anaplastic large cell lymphoma (ALCL). Morphologic analysis of processed cytocentrifuged preparations demonstrated neoplastic cells in 28 cases. In 25 of these, an aberrant lymphoid population was detected by FC analysis. The majority showed high orthogonal light scatter, similar to monocytes or granulocytes. Of the antigens CD2, CD3, CD4, CD5, and CD7, 5 cases expressed 1, 8 expressed 2, 6 expressed 3, 3 expressed 4, and 3 expressed all 5. CD4 was expressed most commonly (20/25 [80%]), followed by CD2 (18/25 [72%]), CD3 (10/25 [40%]), and CD5 and CD7 (8/25 [32%] each). CD45 was expressed in 23 of 25 cases and CD13 in 7 of 9. Of 21 cases, 13 were anaplastic lymphoma kinase (ALK)+, all of which were CD4+, vs 5 of 8 ALK - cases (P = .042). Most ALCLs can be detected and characterized by multiparameter FC analysis. However, light scatter gating on typical lymphoid regions may yield false-negative results in a substantial number of cases.