scholarly journals Quantitative Real‐Time Polymerase Chain Reaction for Detection of Adenovirus after T Cell–Replete Hematopoietic Cell Transplantation: Viral Load as a Marker for Invasive Disease

2007 ◽  
Vol 45 (8) ◽  
pp. 958-965 ◽  
Author(s):  
Veronique Erard ◽  
Meei‐Li Huang ◽  
James Ferrenberg ◽  
Long Nguy ◽  
Terry L Stevens‐Ayers ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Viral Load ◽  
T Cell ◽  
Real Time ◽  
Cell Transplantation ◽  
Hematopoietic Cell Transplantation ◽  
Invasive Disease ◽  
Hematopoietic Cell ◽  
Chain Reaction ◽  
Polymerase Chain

scholarly journals 984. Diagnostic Utility of Bronchoalveolar Lavage Pneumocystis jirovecii DNA Polymerase Chain Reaction Assay in Patients with Hematological Malignancies and Hematopoietic Cell Transplantation

2021 ◽  
Vol 8 (Supplement_1) ◽  
pp. S583-S583
Author(s):  
Deepa Nanayakkara ◽  
Bernard Tegtmeier ◽  
Justine Abella Ross ◽  
Jana Dickter ◽  
Alfredo Puing ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Bronchoalveolar Lavage ◽  
Cell Transplantation ◽  
Hematological Malignancies ◽  
Hematopoietic Cell Transplantation ◽  
Hematopoietic Cell ◽  
Pneumocystis Jirovecii ◽  
Chain Reaction ◽  
Fungal Burden ◽  
Polymerase Chain

Abstract Background Pneumocystis jirovecii, an ubiquitous fungus, can lead to opportunistic pneumonia (PJP) in patients with hematological malignancies (HM) and hematopoietic cell transplantation (HCT) with mild to severe presentation. Unlike patients with HIV, diagnosis of PJP pneumonia is often challenging in patients with HM/HCT possibly related to lower fungal burden versus atypical presentation. The gold standard for diagnosis of PJP from bronchoalveolar lavage fluid (BALF) is cytology, followed by direct fluorescent antigen (DFA), however, in the context of lower fungal burden, quantitative polymerase chain reaction (PCR) is increasingly used. PCR DNA load cut-off for diagnosis of PJP is not established. The objective of this study is to assess the correlation between three tests (cytology, DFA and PCR) and diagnosis of PJP (colonization, possible, probable or proven infection). Methods In this retrospective study at City of Hope, HM/HCT patients with BALF performed to investigate pneumonia who tested positive for any of the 3 tests were included. The study period is from July 2014 to July 2020. All patients had a clinical and radiographic diagnosis of pneumonia. Results Eighty-five patients were identified to have at least one positive diagnostic test for PJP. Twenty (23.5%) patients had a PCR with less than 84 copies/mL, and colonization was suspected in these patients. Of the remaining 65 patients, 46 had all 3 tests done. Twenty seven (58.7%) patients only had positive PCR ranging from 106 to 588,000 copies/mL with negative DFA and cytology. Twelve (26.1%) patients had either DFA or cytology positive with a positive PCR, and in 6 patients (13%) all 3 tests were positive. All of these 18 patients had clinical presentation and radiographic findings consistent with PJP. Quantitative or qualitative serum beta-D-glucan (BDG) level was available in 28 patients and 17 had a positive test with a level >80 pg/ml. Conclusion PJP PCR is a very sensitive test that can lead to early detection of PJP pneumonia in HM/HCT with lower sensitivity of DFA/cytology unless the fungal burden is high. However, the optimal cut off PCR value associated with disease needs to be clinically validated in our patient population and a concurrent serum BDG level can increase diagnostic yield. Disclosures All Authors: No reported disclosures

Plasma SIV RNA Viral Load Determination by Real-Time Quantification of Product Generation in Reverse Transcriptase-Polymerase Chain Reaction

1998 ◽  
Vol 14 (2) ◽  
pp. 183-189 ◽  
Author(s):  
KALACHAR SURYANARAYANA ◽  
THERESA A. WILTROUT ◽  
GABRIELA M. VASQUEZ ◽  
VANESSA M. HIRSCH ◽  
JEFFREY D. LIFSON
Keyword(s):  
Polymerase Chain Reaction ◽  
Viral Load ◽  
Reverse Transcriptase ◽  
Real Time ◽  
Chain Reaction ◽  
Product Generation ◽  
Polymerase Chain ◽  
Viral Load Determination

Saliva Real-Time Polymerase Chain Reaction for Targeted Screening of Congenital Cytomegalovirus Infection

2019 ◽  
Vol 220 (11) ◽  
pp. 1790-1796 ◽  
Author(s):  
Smadar Eventov-Friedman ◽  
Hili Manor ◽  
Benjamin Bar-Oz ◽  
Diana Averbuch ◽  
Orit Caplan ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Viral Load ◽  
Real Time ◽  
Real Time Pcr ◽  
True Positive ◽  
Chain Reaction ◽  
Congenital Cytomegalovirus ◽  
Targeted Screening ◽  
Polymerase Chain ◽  
Urine Testing

Abstract Background Saliva real-time polymerase chain reaction (PCR) was shown to be sensitive and specific for the detection of congenital cytomegalovirus (cCMV) in universal screening studies. In the current study, we assessed the performance of saliva real-time PCR in newborns undergoing targeted cCMV screening. Methods Saliva real-time PCR results were prospectively correlated with reference-standard urine detection in newborns undergoing targeted cCMV screening over a 3-year period, in successive validation (concurrent testing of all saliva and urine specimens) and routine-screening (confirmatory urine testing of positive saliva results) implementation phases. Results The sensitivity, specificity, and positive and negative predictive values of saliva real-time PCR were 98.3% (95% confidence interval, 90.8%–99.9%), 91.5% (89.3%–93.3%), 45.6% (36.7%–54.7%), and 99.9% (99.2%–99.9%), respectively, in 856 concurrently tested newborns. True-positive saliva real-time PCR detection (defined in relation to urine detection) was associated with earlier saliva sampling (P = .002) and a higher saliva viral load (P < .001). We further identified a saliva viral load cutoff value that reliably distinguished between true-positive and false-positive saliva results. Conclusions In newborns undergoing targeted screening for cCMV, saliva real-time PCR is highly sensitive yet has a low positive predictive value, necessitating confirmatory testing. Early sampling and application of a validated viral load cutoff could improve the assay performance and support its large-scale implementation in this growing clinical setting.

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