| Literature DB >> 29212521 |
Ab Hamid Siti-Azrin1, Bachok Norsa'adah2, Nyi Nyi Naing2.
Abstract
BACKGROUND: Nasopharyngeal carcinoma (NPC) exhibits a distinctive racial and geographic distribution. Many studies have reported varied significant prognostic factors affect the survival of NPC patients. Hence, this current study aimed to identify the prognostic factors of NPC patients registered in a tertiary referral hospital.Entities:
Keywords: Age; Metastases; NPC; Nasopharyngeal carcinoma; Prognostic factors; Stage; Survival
Mesh:
Year: 2017 PMID: 29212521 PMCID: PMC5718009 DOI: 10.1186/s13104-017-2990-1
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Characteristics of NPC patients in Hospital USM (n = 134)
| Clinical characteristics | Died frequency (%) | Censored frequency (%) | Total frequency (%) |
|---|---|---|---|
| Gender | |||
| Female | 18 (56.2) | 14 (43.8) | 32 (23.9) |
| Male | 62 (60.8) | 40 (39.2) | 102 (76.1) |
| Ethnicity | |||
| Malay | 66 (60.6) | 43 (39.4) | 109 (81.3) |
| Chinese | 13 (54.2) | 11 (45.8) | 24 (17.9) |
| Other | 1 (100.0) | 0 (0.0) | 1 (0.7) |
| T-classification | |||
| T1 | 6 (46.2) | 7 (53.8) | 13 (9.7) |
| T2 | 8 (50.0) | 8 (50.0) | 16 (11.9) |
| T3 | 15 (62.5) | 9 (37.5) | 24 (17.9) |
| T4 | 38 (59.4) | 26 (40.6) | 64 (47.8) |
| N-classification | |||
| N0 | 8 (53.3) | 7 (46.7) | 15 (11.2) |
| N1 | 11 (50.0) | 11 (50.0) | 22 (16.4) |
| N2 | 18 (48.6) | 19 (51.4) | 37 (27.6) |
| N3 | 30 (69.8) | 13 (30.2) | 43 (32.1) |
Prognostic factors of NPC patients in Hospital USM using simple Cox regression based on socio-demographic (n = 134)
| Socio-demographics | b (SE) | Crude HR (95% CI) | Wald statistic |
|
|---|---|---|---|---|
| Age (year) | 0.02 (0.01) | 1.02 (1.01, 1.03) | 8.01 | 0.005 |
| Gender | ||||
| Female | 0.00 | 1.00 | – | – |
| Male | 0.24 (0.27) | 1.28 (0.75, 2.16) | 0.81 | 0.368 |
| Ethnicity | ||||
| Malay | 0.00 | 1.00 | – | – |
| Chinese | − 0.23 (0.30) | 0.80 (0.44, 1.45) | 0.55 | 0.457 |
| Other | − 0.09 (1.01) | 0.92 (0.13, 6.63) | 0.01 | 0.930 |
| Co-morbidities | ||||
| No | 0.00 | 1.00 | – | – |
| Yes | − 0.23 (0.27) | 0.78 (0.46, 1.35) | 0.73 | 0.393 |
Prognostic factors of NPC patients in Hospital USM using simple Cox regression based on symptoms (n = 134)
| Symptoms (presence) | b (SE) | Crude HR (95% CI) | Wald statistic |
|
|---|---|---|---|---|
| Neck swelling | 0.52 (0.27) | 1.69 (0.99, 2.88) | 3.63 | 0.057 |
| Nasal presentation | 0.04 (0.23) | 1.05 (0.67, 1.64) | 0.04 | 0.847 |
| Nasal blockage | − 0.10 (0.20) | 0.90 (0.57, 1.42) | 0.20 | 0.655 |
| Nasal discharge | − 0.50 (0.40) | 0.61 (0.28, 1.33) | 1.56 | 0.212 |
| Epistaxis | − 0.09 (0.23) | 0.92 (0.59, 1.43) | 0.15 | 0.699 |
| Aural presentation | 0.25 (0.23) | 1.29 (0.83, 2.00) | 1.27 | 0.260 |
| Tinnitus | 0.02 (0.28) | 1.02 (0.59, 1.76) | 0.00 | 0.949 |
| Hearing loss | 0.29 (0.23) | 1.33 (0.85, 2.10) | 1.55 | 0.213 |
| Deafness | 0.80 (0.72) | 2.23 (0.54, 9.16) | 1.23 | 0.267 |
| Serous otitis | − 1.23 (0.72) | 0.29 (0.07, 1.19) | 2.94 | 0.086 |
| Cranial nerve palsies | 0.56 (0.22) | 1.74 (1.12, 2.71) | 6.16 | 0.013 |
| Opthalmegia | 0.00 (0.37) | 1.00 (0.48, 2.08) | 0.00 | 0.997 |
| Visual changes | 0.49 (0.26) | 1.64 (0.99, 2.72) | 3.64 | 0.056 |
| Numbness | − 0.07 (0.46) | 0.94 (0.38, 2.31) | 0.02 | 0.886 |
| Hoarseness of voice | 0.26 (0.51) | 1.30 (0.47, 3.55) | 0.25 | 0.615 |
| Headache | 0.17 (0.24) | 1.19 (0.74, 1.92) | 0.51 | 0.474 |
Prognostic factors of NPC patients in Hospital USM using simple Cox regression based on clinical characteristics (n = 134)
| Clinical characteristics | b (SE) | Crude HR (95% CI) | Wald statistic |
|
|---|---|---|---|---|
| Histologic type | ||||
| WHO type I | 0.00 | 1.00 | – | – |
| WHO type I | 0.37 (0.25) | 1.45 (0.892, 2.37) | 2.25 | 0.134 |
| WHO type I | 0.05 (0.59) | 1.06 (0.33, 3.38) | 0.59 | 0.928 |
| T-classification | ||||
| T1 | 0.00 | 1.00 | – | – |
| T2 | 0.15 (0.54) | 1.16 (0.40, 3.36) | 0.08 | 0.780 |
| T3 | 0.45 (0.49) | 1.56 (0.60, 4.05) | 0.85 | 0.357 |
| T4 | 0.40 (0.44) | 1.49 (0.63, 3.52) | 0.81 | 0.368 |
| N-classification | ||||
| N0 | 0.00 | 1.00 | – | – |
| N1 | − 0.03 (0.47) | 0.97 (0.39, 2.42) | 0.00 | 0.952 |
| N2 | 0.25 (0.43) | 1,28 (0.55, 2.95) | 0.33 | 0.567 |
| N3 | 0.77 (0.40) | 2.16 (0.99, 4.73) | 3.69 | 0.055 |
| Metastases | ||||
| M0 | 0.00 | 1.00 | – | – |
| M1 | 1.11 (0.44) | 3.02 (1.29, 7.09) | 6.45 | 0.011 |
| Staging | ||||
| I–II | 0.00 | 1.00 | – | – |
| III | 0.45 | 1.81 (0.75, 4.38) | 1.72 | 0.190 |
| IV | 0.44 | 3.41 (1.44, 8.08) | 7.79 | 0.005 |
Prognostic factors of NPC patients in Hospital USM using simple Cox regression based on treatment (n = 134)
| Treatment | b (SE) | Crude HR (95% CI) | Wald statistic |
|
|---|---|---|---|---|
| Radiotherapy | 1.00 | – | – | |
| Chemotherapy | 2.12 (0.49) | 8.37 (3.18, 22.01) | 18.54 | < 0.001 |
| Combination radiotherapy and chemotherapy | − 0.13 (0.26) | 0.88 (0.53, 1.46) | 0.26 | 0.613 |
The final simple and multivariate Cox proportional hazard regression model of prognostic factors associated with the survival of NPC patients in Hospital USM (n = 134)
| Variables | Simple Cox regression | Multiple Cox regression | ||||
|---|---|---|---|---|---|---|
| b | Crude HR (95% CI) |
| b | Adjusted HR (95% CI) |
| |
| Age (year) | 0.02 | 1.02 (1.01, 1.04) | 0.005 | 0.03 | 1.03 (1.01, 1.04) | 0.001 |
| Metastases | ||||||
| No | 0.00 | 1.00 | – | 0.00 | 1.00 | – |
| Yes | 1.11 | 3.02 (1.29, 7.09) | 0.011 | 0.92 | 2.52 (1.01, 6.28) | 0.048 |
| AJCC stage | ||||||
| I–II | 0.00 | 1.00 | – | 0.00 | 1.00 | – |
| III | 0.45 | 1.81 (0.75, 4.38) | 0.190 | 0.88 | 2.42 (0.98, 5.99) | 0.056 |
| IV | 0.44 | 3.41 (1.44, 8.08) | 0.005 | 1.40 | 4.05 (1.66, 9.88) | 0.002 |
A backward stepwise Cox proportional hazards regression model was applied. Two-way interaction and multicollinearity were assessed and not found. A log-minus-log plot, a hazard function plot and Schoenfeld residuals were applied to test the model assumptions. Martingale residuals, Cox-Snell residuals, deviance residuals and influence analysis were used to assess the fit of the model and to identify influential cases
b regression coefficient