| Literature DB >> 26647444 |
Claire L Jackson1, Laura Behan2, Samuel A Collins3, Patricia M Goggin4, Elizabeth C Adam5, Janice L Coles5, Hazel J Evans6, Amanda Harris6, Peter Lackie7, Samantha Packham6, Anton Page4, James Thompson5, Woolf T Walker3, Claudia Kuehni8, Jane S Lucas9.
Abstract
Diagnosis of primary ciliary dyskinesia (PCD) lacks a "gold standard" test and is therefore based on combinations of tests including nasal nitric oxide (nNO), high-speed video microscopy analysis (HSVMA), genotyping and transmission electron microscopy (TEM). There are few published data on the accuracy of this approach.Using prospectively collected data from 654 consecutive patients referred for PCD diagnostics we calculated sensitivity and specificity for individual and combination testing strategies. Not all patients underwent all tests.HSVMA had excellent sensitivity and specificity (100% and 93%, respectively). TEM was 100% specific, but 21% of PCD patients had normal ultrastructure. nNO (30 nL·min(-1) cut-off) had good sensitivity and specificity (91% and 96%, respectively). Simultaneous testing using HSVMA and TEM was 100% sensitive and 92% specific.In conclusion, combination testing was found to be a highly accurate approach for diagnosing PCD. HSVMA alone has excellent accuracy, but requires significant expertise, and repeated sampling or cell culture is often needed. TEM alone is specific but misses 21% of cases. nNO (≤30 nL·min(-1)) contributes well to the diagnostic process. In isolation nNO screening at this cut-off would miss ∼10% of cases, but in combination with HSVMA could reduce unnecessary further testing. Standardisation of testing between centres is a future priority.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26647444 PMCID: PMC4771621 DOI: 10.1183/13993003.00749-2015
Source DB: PubMed Journal: Eur Respir J ISSN: 0903-1936 Impact factor: 16.671
FIGURE 1Primary ciliary dyskinesia (PCD) diagnostic pathway for patients and samples. Diagnostic tests included nasal nitric oxide (nNO), high-speed video microscopy analysis (HSVMA) and transmission electron microscopy (TEM). Not all patients underwent all tests. UHS: University Hospital Southampton.
FIGURE 2The diagnostic investigations and outcomes of patients seen a) at the diagnostic centre at University Hospital Southampton (UHS) or b) having had samples sent by courier to UHS from a satellite respiratory clinic. Patients were diagnosed as primary ciliary dyskinesia (PCD)-positive, PCD-negative or valid-inconclusive (VI). Invalid-inconclusive (II) results due to inadequate samples or data are shown, but were subsequently excluded from accuracy analyses. Diagnostic tests included nasal nitric oxide (nNO), high-speed video microscopy analysis (HSVMA) and transmission electron microscopy (TEM).
Clinical characteristics of the referral population grouped by positive, negative, valid-inconclusive and invalid-inconclusive diagnostic outcomes
| 868 | 75 | 566 | 13 | 214 | |||||||||||
| 362 (42) | 393 (45) | 11 (13) | 34 (45) | 36 (48) | 5 (7) | 249 (44) | 278 (49) | 39 (7) | 7 (54) | 6 (46) | 0 (0) | 72 (34) | 73 (34) | 69 (32) | |
| 346 (40) | 102 (12) | 420 (48) | 66 (88) | 7 (9) | 2 (3) | 242 (43) | 80 (14) | 244 (43) | 8 (61) | 2 (15) | 3 (23) | 30 (14) | 13 (6) | 171 (80) | |
| 32 (4) | 792 (91) | 44 (5) | 18 (24) | 55 (73) | 2 (3) | 9 (2) | 529 (93) | 28 (5) | 0 (0) | 11 (85) | 2 (15) | 5 (2) | 197 (92) | 12 (6) | |
| 138 (16) | 694 (80) | 35 (4) | 46 (61) | 25 (33) | 4 (5) | 77 (14) | 466 (82) | 23 (4) | 3 (23) | 9 (69) | 1 (8) | 12 (6) | 194 (91) | 8 (4) | |
| 70 (8) | 788 (91) | 10 (1) | 33 (44) | 42 (56) | 0 (0) | 22 (5) | 537 (95) | 7 (0) | 4 (31) | 9 (69) | 0 (0) | 11 (5) | 200 (93) | 3 (1) | |
| 20 (2) | 848 (98) | 0 (0) | 6 (8) | 69 (92) | 0 (0) | 10 (2) | 556 (98) | 0 (0) | 0 (0) | 13 (100) | 0 (0) | 4 (2) | 210 (98) | 0 (0) | |
| 710 (82) | 158 (18) | 0 (0) | 72 (96) | 3 (4) | 0 (0) | 488 (86) | 78 (14) | 0 (0) | 12 (93) | 1 (7) | 0 (0) | 138 (64) | 76 (36) | 0 (0) | |
| 477 (55) | 389 (45) | 2 (0) | 61 (81) | 14 (19) | 0 (0) | 325 (57) | 239 (42) | 2 (1) | 9 (69) | 4 (31) | 0 (0) | 82 (38) | 132 (62) | 0 (0) | |
| 192 (22) | 663 (76) | 13 (2) | 21 (28) | 53 (71) | 1 (1) | 138 (24) | 416 (74) | 12 (2) | 5 (38) | 8 (62) | 0 (0) | 28 (13) | 186 (87) | 0 (0) | |
Data are presented as n or n (%). Patients with invalid-inconclusive outcomes were excluded from the study population for analyses. NA: not available; PCD: primary ciliary dyskinesia. #: for example, children did not know their fertility status; older adults did not know neonatal details; and in a minority of cases the data were simply not recorded.
FIGURE 3Receiver operating characteristic (ROC) curve analysis for ciliary beat frequency (CBF) and nasal nitric oxide (nNO) for predicting a diagnosis of primary ciliary dyskinesia (PCD) (using multidisciplinary diagnosis as the reference standard). ROC curve analysis showed that nNO ≤30 nL·min−1 (area under the curve (AUC) 0.97, 95% CI 0.94–1.00) was superior to CBF (AUC 0.92, 95% CI 0.79–1.00) as predictors of a PCD-positive diagnosis.
The diagnostic accuracy of nasal nitric oxide (nNO), high-speed video microscopy analysis (HSVMA) and transmission electron microscopy (TEM) analysis to diagnose primary ciliary dyskinesia
| 301 (47) | 625 (98) | 368 (57) | |
| 34 (45) | 60 (80) | 71 (95) | |
| 267 (47) | 565 (100) | 297 (52) | |
| 31 | 60 | 56 | |
| 257 | 526 | 297 | |
| 10 | 39 | 0 | |
| 3 | 0 | 15 | |
| 0.91 (0.76–0.98) | 1.00 (0.94–1.00) | 0.79 (0.68–0.88) | |
| 0.96 (0.93–0.98) | 0.93 (0.91–0.95) | 1.00 (0.99–1.00) | |
| 0.76 (0.60–0.88) | 0.61 (0.50–0.70) | 1.00 (0.94–1.00) | |
| 0.99 (0.97–1.00) | 1.00 (0.99–1.00) | 0.95 (0.92–0.97) |
Data are presented as n (%) or n, unless otherwise stated. Data were analysed for patients with conclusive positive or negative results who underwent the individual tests. PPV: positive predictive value; NPV: negative predictive value. #: n=641; ¶: n=75; +: n=566.
The diagnostic accuracy of nasal nitric oxide (nNO), high-speed video microscopy analysis (HSVMA) and transmission electron microscopy (TEM) analysis to diagnose primary ciliary dyskinesia
| 126 | 355 | 80 | 80 | ||||||
| 125 (99) | 67 (53) | 301 (85) | 353 (99) | 212 (60) | 71 (89) | 48 (60) | 76 (95) | 41 (51) | |
| 8 (6) | 7 (10) | 34 (11) | 34 (10) | 33 (16) | 8 (11) | 17 (35) | 10 (13) | 14 (34) | |
| 117 (94) | 60 (90) | 267 (89) | 319 (90) | 179 (84) | 63 (89) | 31 (65) | 66 (87) | 27 (66) | |
| 8 | 6 | 31 | 34 | 22 | 8 | 15 | 10 | 13 | |
| 111 | 60 | 257 | 297 | 179 | 59 | 31 | 59 | 27 | |
| 6 | 0 | 10 | 22 | 0 | 4 | 0 | 7 | 0 | |
| 0 | 1 | 3 | 0 | 11 | 0 | 2 | 0 | 1 | |
| 1.00 (0.63–1.00) | 0.86 (0.42–0.98) | 0.91 (0.76–0.98) | 1.00 (0.90–1.00) | 0.67 (0.48–0.82) | 1.00 (0.63–1.00) | 0.88 (0.64–0.98) | 1.00 (0.69–1.00) | 0.93 (0.66–0.99) | |
| 0.95 (0.89–0.98) | 1.00 (0.94–1.00) | 0.96 (0.93–0.98) | 0.93 (0.90–0.96) | 1.00 (0.98–1.00) | 0.94 (0.85–0.98) | 1.00 (0.89–1.00) | 0.89 (0.79–0.96) | 1.00 (0.87–1.00) | |
| 0.57 (0.29–0.82) | 1.00 (0.54–1.00) | 0.76 (0.60–0.88) | 0.61 (0.47–0.74) | 1.00 (0.84–1.00) | 0.67 (0.35–0.90) | 1.00 (0.78–1.00) | 0.59 (0.33–0.81) | 1.00 (0.75–1.00) | |
| 1.00 (0.97–1.00) | 0.98 (0.91–1.00) | 0.99 (0.97–1.00) | 1.00 (0.99–1.00) | 0.94 (0.90–0.97) | 1.00 (0.94–1.00) | 0.94 (0.80–0.99) | 1.00 (0.94–1.00) | 0.96 (0.82–0.99) | |
Data are presented as n or n (%), unless otherwise stated. Analyses were stratified by patients seen at University Hospital Southampton (UHS) and samples sent by courier to UHS; then stratified further by age <5 years and ≥5 years at time of assessment. PPV: positive predictive value; NPV: negative predictive value.
Sensitivity and specificity of high-speed video microscopy analysis (HSVMA), ciliary beat pattern, nasal nitric oxide (nNO) and transmission electron microscopy (TEM) applied as single or combined tests, using simultaneous or sequential testing
| 180 | 180 | 180 | 180 | 180 | 180 | 36 | 36 | 51 | 43 | |
| 31 | 31 | 31 | 31 | 31 | 31 | 28 | 28 | 31 | 31 | |
| 149 | 149 | 149 | 149 | 149 | 149 | 8 | 8 | 20 | 12 | |
| 28 | 31 | 20 | 31 | 31 | 31 | 28 | 19 | 20 | 20 | |
| 141 | 137 | 149 | 129 | 137 | 129 | 8 | 8 | 20 | 12 | |
| 8 | 12 | 0 | 20 | 12 | 20 | 0 | 0 | 0 | 0 | |
| 3 | 0 | 11 | 0 | 0 | 0 | 0 | 9 | 11 | 11 | |
| 0.90 (0.74–0.98) | 1.00 (0.89–1.00) | 0.65 (0.45–0.81) | ||||||||
| 0.95 (0.90–0.98) | 0.92 (0.86–0.96) | 1.00 (0.98–1.00) | ||||||||
| 0.78 (0.61–0.90) | 0.72 (0.56–0.85) | 1.00 (0.83–1.00) | ||||||||
| 0.98 (0.94–1.00) | 1.00 (0.97–1.00) | 0.93 (0.88–0.97) | ||||||||
| 1.00 | 1.00 | 1.00 | 0.90 | 0.61 | 0.65 | 0.65 | ||||
| 0.87 | 0.92 | 0.87 | 1.00 | 1.00 | 1.00 | 1.00 | ||||
Data are presented as n, unless otherwise stated. PPV: positive predictive value; NPV: negative predictive value. #: n=180; ¶: n=36; +: n=51; §: n=43; ƒ: the net sensitivity and specificity were calculated for combined tests.