| Literature DB >> 28275514 |
Shakhawan H A Said1, Mohammed A Al Kadum Hassan1, Rawa H G Ali1, Ismaeel Aghaways2, Fahmi H Kakamad3, Khalid Q Mohammad4.
Abstract
OBJECTIVES: To evaluate factors contributing to bleeding after percutaneous nephrolithotomy (PCNL) and ways of managing this complication, as bleeding is a serious sequela that requires prompt management. PATIENTS AND METHODS: The demographic and procedural data of 200 patients, who underwent unilateral PCNL during a 20-month period, were prospectively collected. Preoperative, operative, and postoperative details were recorded. The preoperative variables analysed included: age, sex, body mass index (BMI), the presence of hypertension, diabetes mellitus, serum creatinine, degree of hydronephrosis, previous ipsilateral open renal surgery, stone size and complexity. The operative variables analysed included: number of tracts, operative time, size of Amplatz sheath, type of anaesthesia, and complications such as calyceal and pelvic perforation.Entities:
Keywords: BMI, body mass index; Bleeding; Complications; GSS, Guy’s Stone Score; Hb, haemoglobin; KUB, plain abdominal radiograph of the kidneys, ureters and bladder; OR, odds ratio; PCNL, percutaneous nephrolithotomy; Percutaneous nephrolithotomy; Renal stones; US, ultrasonography
Year: 2017 PMID: 28275514 PMCID: PMC5329700 DOI: 10.1016/j.aju.2016.12.001
Source DB: PubMed Journal: Arab J Urol ISSN: 2090-598X
Preoperative and perioperative findings in the study population.
| Variable | |
|---|---|
| Diabetes mellitus | 23 (11.5) |
| Hypertension | 39 (19.5) |
| Serum creatinine > 1.4 mg/dL | 4 (2.0) |
| Previous renal surgery | 73 (36.5) |
| None | 10 (5) |
| Mild | 59 (29.5) |
| Moderate | 88 (44) |
| Severe | 43 (21.5) |
| <20 | 42 (21) |
| 20–30 | 84 (42) |
| >30 | 74 (37) |
| 1 | 70 (35) |
| 2 | 93 (46.5) |
| 3 | 12 (6) |
| 4 | 25 (12.5) |
| General | 171 (85.5) |
| Spinal | 29 (14.5) |
| <83 | 120 (60) |
| >83 | 80 (40) |
| 1 | 171 (85.5) |
| 2 | 25 (12.5) |
| 3 | 4 (2) |
| 20–24 | 46 (23) |
| 26–30 | 154 (77) |
Factors affecting blood loss assessed by univariate analysis.
| Variable | Without bleeding, | With bleeding, | |
|---|---|---|---|
| <15 | 14 (100.0) | 0 (0.0) | 0.515 |
| 15–49 | 130 (91.5) | 12 (8.5) | |
| >50 | 40 (90.9) | 4 (9.1) | |
| Male | 116 (92.8) | 9 (7.2) | 0.243 |
| Female | 68 (90.7) | 7 (9.3) | |
| Underweight (<18.5) | 7 (77.8) | 2 (22.2) | 0.274 |
| Normal (<25) | 59 (93.7) | 4 (6.3) | |
| Over weight (25–29.9) | 74 (90.2) | 8 (9.8) | |
| Obese (>30) | 44 (95.7) | 2 (4.3) | |
| No | 165 (93.2) | 12 (6.8) | 0.094 |
| Yes | 19 (82.6) | 4 (17.4) | |
| No | 151 (93.8) | 10 (6.2) | 0.066 |
| Yes | 33 (84.6) | 6 (15.4) | |
| No | 181 (92.3) | 15 (7.7) | 0.206 |
| Yes | 3 (75.0) | 1 (25.0) | |
| No (127) | 121 (95.3) | 6 (4.7) | 0.024 |
| Yes (73) | 63 (86.3) | 10 (13.7) | |
| No | 8 (80.0) | 2 (20.0) | 0.009 |
| Mild | 57 (96.6) | 2 (3.4) | |
| Moderate | 84 (95.5) | 4 (4.5) | |
| Severe | 35 (81.4) | 8 (18.6) | |
| <20 | 42 (100.0) | 0 (00.0) | 0.001 |
| 20–30 | 82 (97.6) | 2 (2.4) | |
| >30 | 60 (81.1) | 14 (18.9) | |
| 1 | 66 (94.3) | 4 (5.7) | 0.007 |
| 2 | 89 (95.7) | 4 (4.3) | |
| 3 | 10 (83.3) | 2 (16.7) | |
| 4 | 19 (76.0) | 6 (24.0) | |
| <83 | 120 (100.0) | 0 (0.0) | 0.001 |
| >83 | 64 (80.0) | 16 (20.0) | |
| 1 | 163 (95.3) | 8 (4.7) | 0.001 |
| 2 | 19 (76.0) | 6 (24.0) | |
| 3 | 2 (50.0) | 2 (50.0) | |
| 20–24 | 46 (100.o) | 0 (0.0) | 0.001 |
| 26–30 | 138 (89.6) | 16 (10.4) | |
| No | 162 (96.4) | 6 (3.6) | 0.001 |
| Yes | 22 (68.8) | 10 (31.3) | |
Outcomes of multivariate binary logistic regression analysis of factors affecting bleeding.
| Variable | Odds ratio (95% CI) | |
|---|---|---|
| No (reference) | 1 | 0.002 |
| Yes | 3.22 (2.55–10.04) | |
| 1 (reference) | 1 | 0.025 |
| 2 | 1.01 (0.26–3.29) | |
| 3 | 1.83 (1.01–5.32) | |
| 4 | 2.07 (1.78–10.66) | |
| No (reference) | 1 | 0.011 |
| Yes | 1.81 (1.12–6.34) | |