| Literature DB >> 25502236 |
Jiann-Horng Yeh1, Chun-Ta Huang2, Chia-Hsiung Liu3, Sheng-Yuan Ruan4, Yi-Ju Tsai5, Ying-Chun Chien4, Ching-Yao Yang4, Chun-Kai Huang4, Chia-Lin Hsu4, Lu-Cheng Kuo4, Pei-Lin Lee4, Shih-Chi Ku4, Ping-Hung Kuo4, Chong-Jen Yu4.
Abstract
BACKGROUND ANDEntities:
Mesh:
Substances:
Year: 2014 PMID: 25502236 PMCID: PMC4264949 DOI: 10.1371/journal.pone.0115301
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Etiologies of pleural effusions.
| Categories of effusions | Patient No. (n = 147) |
| Transudates | 67 |
| Congestive heart failure | 38 |
| Hypoalbuminemia | 18 |
| Others | 11 |
| Exudates | 80 |
| Malignancy | 34 |
| Parapneumonic effusion | 27 |
| Others | 19 |
*Effusions due to atelectasis, hepatic hydrothorax, or nephrotic syndrome.
Effusions due to chylothorax, connective tissue disease, hypothyroidism, lymphangioleiomyomatosis, subphrenic abscess, tuberculosis, or uremia.
Characteristics of the study population.
| Characteristics | Congestive heart failure (n = 38) | Non-congestive heart failure (n = 109) | P value |
| Age, years | 75±12 | 70±14 | 0.089 |
| Male sex | 24 (63) | 66 (61) | 0.776 |
| APACHE II score | 22±8 | 23±8 | 0.430 |
| Intensive care unit mortality | 10 (26) | 26 (24) | 0.761 |
| Past history | |||
| Congestive heart failure | 28 (74) | 11 (10) | <0.001 |
| Chronic kidney disease | 21 (55) | 18 (17) | <0.001 |
| Diabetes mellitus | 17 (45) | 42 (39) | 0.502 |
| Intensive care unit events | |||
| Septic shock | 6 (16) | 28 (26) | 0.213 |
| Acute kidney injury | 7 (18) | 28 (26) | 0.365 |
| Bilateral effusions | 26 (68) | 40 (37) | 0.001 |
| Pleural effusion | |||
| Exudates by Light's criteria | 6 (16) | 84 (77) | <0.001 |
| Glucose, mg/dL | 151±29 | 134±45 | 0.033 |
| Total protein, g/dL | 1.8±0.8 | 3.1±1.3 | <0.001 |
| Lactate dehydrogenase, U/L | 118±118 | 450±852 | <0.001 |
| NT-proBNP, pg/mL | 8863±9058 | 2062±3769 | <0.001 |
Data are presented as No. (%) or mean ± standard deviation.
*APACHE, Acute Physiology and Chronic Health Evaluation.
NT-proBNP, N-terminal pro-B-type natriuretic peptide.
Figure 1Boxplots showing the minimum, 25th, 50th, and 75th percentiles, and the maximum pleural N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, by etiologies of pleural effusions.
Outliers (open circles) and extremes (stars) are plotted separately.
Figure 2Receiver operating characteristic curve of pleural N-terminal pro-B-type natriuretic peptide levels comparing patients with pleural effusions caused by congestive heart failure to those with pleural effusions attributable to other reasons.
The area under the curve was 0.87 (95% confidence interval 0.81–0.92).
Diagnostic information for pleural N-terminal pro-B-type natriuretic peptide concentrations in the diagnosis of pleural effusions caused by congestive heart failure.
| Pleural NT-proBNP cutoffs, pg/mL | Sensitivity % | Specificity % | Positive likelihood ratio | Negative likelihood ratio |
| >1000 | 100 | 55 | 2.2 | 0.00 |
| >1500 | 92 | 66 | 2.8 | 0.08 |
| >2200 | 89 | 73 | 3.4 | 0.14 |
| >4000 | 58 | 87 | 4.5 | 0.48 |
*NT-proBNP, N-terminal pro-B-type natriuretic peptide.
Optimal cutoff value determined by Youden index.