| Literature DB >> 28243171 |
Hakan Sarman1, Cengiz Isik1, Mehmet Boz1, Ismail Boyraz2, Bunyamin Koc2, Sule Aydin Turkoglu3.
Abstract
OBJECTIVE: The aim of this study was to investigate whether haemogram parameters are predictive factors for both the severity of the disease and a decision in favor of surgical treatment in patients with an established diagnosis of cubital tunnel syndrome (CuTS) .Entities:
Keywords: Cubital tunnel syndrome/blood; Cubital tunnel syndrome/diagnosis; Cubital tunnel syndrome/etiology; Cubital tunnel syndrome/surgery
Year: 2016 PMID: 28243171 PMCID: PMC5035689 DOI: 10.1590/1413-785220162404156646
Source DB: PubMed Journal: Acta Ortop Bras ISSN: 1413-7852 Impact factor: 0.513
Figure 1The algorithm and planning criteria of the study.
The patient demographics and clinical data of both groups.
| Conservative | Operated |
| |
|---|---|---|---|
| Age | 46.14 (±15.1) (19-80) | 48.4 (±12.68) (21-83) | 0.287 |
| Female/Male (%) | %38 / 62% | 41.3% / 58.7% | 0.652 |
| L / R (%) | 65.2% / 34.8% | 59.8% / 40.2% | 0.448 |
| DASH score | 23.82 (±6.76) | 59.82 (±5.63) | <0.001 |
| Mild/Moderate/ Severe EMG | 83.7% / 16.3% / 0% | 0% / 76.1% / 23.9% | 0.00 |
L: left; R: right; DASH: disability of arm shoulder and hand; EMG: electromyogram.
The patient haemogram results of both groups.
| Conservative | Operated |
| |
|---|---|---|---|
| WBC | 7.05 (±1.9) | 7.43 (±1.71) | 0.151 |
| Hb | 14.21 (±1.55) | 13.97 (±1.7) | 0.323 |
| Hct | 42.21 (±4.49) | 41.63 (±4.6) | 0.387 |
| MPV | 7.73 (±0.94) | 7.93 (±1.17) | 0.194 |
| NEU | 4.13 (±1.63) | 4.36 (±1.38) | 0.291 |
| LYM | 2.29 (±0.84) | 2.42 (±0.77) | 0.294 |
| PLT | 261.21 (±59.89) | 275.22 (±66.95) | 0.136 |
| NEU/LYM | 2 (±1.3) | 2 (±1.35) | 0.99 |
| PLT/LYM | 125.21 (±55.45) | 126.22 (±52.51) | 0.900 |
| RDW | 15.54 (±1.55) | 14.8 (±2.06) | 0.008 |
| RDW-Quartile | 1.34 (±0.47) | 1.51 (±0.5) | 0.025 |
WBC: White blood cell count; Hb: Hemoglobin; Htc: Hematocrit; MPV: Mean platelet volume; NEU: Neutrophil; LYM: Lymphocyte; PLT: Platelet; RDW: Red cell distribution width.
Figure 2ROC curve analysis of RDW.