| Literature DB >> 31647826 |
Diana Romano1, Stacie Deiner1,2,3, Anjali Cherukuri4, Bernard Boateng5, Raj Shrivastava2, J Mocco2, Constantinos Hadjipanayis2, Raymund Yong2, Christopher Kellner2, Kurt Yaeger2, Hung-Mo Lin6, Jess Brallier7.
Abstract
OBJECT: Patients often develop markedly elevated serum lactate levels during craniotomy although the reason for this is not entirely understood. Elevated lactate levels have been associated with poor outcomes in critically ill septic shock patients, as well as patients undergoing abdominal and cardiac surgeries. We investigated whether elevated lactate in craniotomy patients is associated with neurologic complications (new neurological deficits) as well as systemic complications.Entities:
Year: 2019 PMID: 31647826 PMCID: PMC6812741 DOI: 10.1371/journal.pone.0224016
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Flow diagram.
Flow diagram of enrolled, excluded and included patients.
Characteristics of patient cohort, grouped by level of maximum intraoperative serum lactate measurement.
| Variable | Overall | Max lactate < 2 (N = 55) | Max lactate ≥ 2 (N = 26) | |
|---|---|---|---|---|
| Age | 50.6 (14.0) | 51.6 (13.6) | 48.5 (14.9) | 0.36 |
| Gender | 0.28 | |||
| Male | 46 (56.8) | 29 (52.7) | 17 (65.4) | |
| Female | 35 (43.2) | 26 (47.3) | 9 (34.6) | |
| Race | 0.41 | |||
| American Indian/Alaska Native | 0 | 0 | 0 | |
| Asian | 8 (9.9) | 7 (12.7) | 1 (3.9) | |
| Native Hawaiian/Pacific Islander | 0 | 0 | 0 | |
| Black or African American | 14 (17.3) | 11 (20) | 3 (11.5) | |
| White | 55 (67.9) | 34 (61.8) | 21 (80.8) | |
| Unknown | 4 (4.9) | 3 (5.5) | 1 (3.8) | |
| Ethnicity | 0.67 | |||
| Hispanic or Latino | 13 (16) | 8 (14.6) | 5 (19.2) | |
| Not Hispanic or Latino | 66 (81.5) | 46 (83.6) | 20 (76.9) | |
| Unknown | 2 (2.5) | 1 (1.8) | 1 (3.8) | |
| ASA PS | 0.61 | |||
| 1–2 | 28 (34.6) | 21 (38.2) | 7 (26.9) | |
| 3 | 49 (60.5) | 31 (56.4) | 18 (69.2) | |
| 4 | 4 (4.9) | 3 (5.4) | 1 (3.8) | |
| BMI | 27.3 (6.2) | 27.4 (6.6) | 27.1 (5.3) | 0.82 |
| Location of lesion | 0.64 | |||
| Supratentorial | 50 (61.7) | 33 (60) | 17 (65.4) | |
| Infratentorial | 31 (38.3) | 22 (40) | 9 (34.6) | |
| Cardiovascular disease | ||||
| Hypertension | 32 (39.5) | 22 (40) | 10 (38.5) | 0.90 |
| CAD | 3 (3.7) | 3 (5.4) | 0 | 0.55 |
| CHF | 0 | 0 | 0 | |
| Other | 53 (65.4) | 37 (67.3) | 16 (61.5) | 0.61 |
| Respiratory disease | ||||
| Asthma | 8 (9.9) | 6 (10.9) | 2 (7.7) | 1.00 |
| COPD | 4 (4.9) | 2 (3.6) | 2 (7.7) | 0.59 |
| Sleep apnea | 6 (7.4) | 4 (7.3) | 2 (7.7) | 1.00 |
| Other | 67 (82.7) | 46 (83.6) | 21 (80.8) | 0.76 |
| Other PMH: | ||||
| Diabetes | 11 (13.6) | 10 (18.2) | 1 (3.8) | 0.10 |
| Renal | 1 (1.2) | 0 | 1 (3.8) | 0.32 |
| Hepatic | 4 (4.9) | 2 (3.6) | 2 (7.7) | 0.59 |
| Other | 72 (88.9) | 48 (87.3) | 24 (92.3) | 0.71 |
| Pre-op neuro deficit present? | 0.10 | |||
| Yes | 59 (72.8) | 37 (67.3) | 22 (84.6) | |
| No | 22 (27.2) | 18 (32.7) | 4 (15.4) | |
| Total IV fluids | 2300 (1700–3200) | 2000 (1500–2500) | 3125 (2000–4000) | |
| Total blood products | 0 (0–0) | 0 (0–0) | 0 (0–0) | 0.14 |
| Total EBL | 150 (100–250) | 150 (100–200) | 200 (150–400) | |
| Total urine output | 1775 (1200–2300) | 1700 (1100–2200) | 2050 (1350–2900) | 0.07 |
| Mannitol given (y/n) | 75 (92.6) | 51 (92.7) | 24 (92.3) | 1.00 |
| Total surgical time (min) | 223 (167–306) | 217 (162–282) | 258 (172–417) | 0.17 |
| Patient extubated end of case | 0.20 | |||
| Yes | 74 (91.4) | 52 (94.6) | 22 (84.6) | |
| No | 7 (8.6) | 3 (5.4) | 4 (15.4) |
Note: Continuous variables are given mean (SD) with t test or median (Q1-Q3) with Wilcoxon rank test. Categorical variables are given N (col%) with chi-square test.
Postoperative outcomes with and without elevated intraoperative serum lactate.
| Outcome | N | Overall | Max lactate < 2 (N = 55) | Max lactate ≥ 2 (N = 26) | |
|---|---|---|---|---|---|
| Postoperative troponin > 0.05 ng/mL | 75 | 0 | 0 | 0 | |
| Postoperative creatinine > 1.10 mg/dL | |||||
| Immediate post op | 81 | 3 (3.7) | 2 (3.6) | 1 (3.8) | 1.00 |
| 12–24 hours post op | 77 | 3 (3.9) | 2 (3.9) | 1 (3.8) | 1.00 |
| Postoperative lactate ≥2 | |||||
| Immediate postoperative | 78 | 45 (57.7) | 22 (42.3) | 23 (88.5) | |
| 12–24 hours postoperative | 68 | 38 (55.9) | 21 (45.7) | 17 (77.3) | |
| Immediate postoperative neuro deficit | 81 | 0.55 | |||
| Yes | 35 (43.2) | 25 (45.5) | 10 (38.5) | ||
| No | 46 (56.8) | 30 (54.5) | 16 (61.5) | ||
| Hospital length of stay | 81 | 4 (3–7) | 3 (3–6) | 6.5 (3–7) | |
| New neurologic deficit at 2 week follow up | 81 | ||||
| Yes | 25 (30.9) | 15 (27.3) | 10 (38.5) | ||
| No | 56 (69.1) | 40 (72.7) | 16 (61.5) | ||
| 30 day mortality | 81 | 0 | 0 | 0 |
Note: Continuous variables are given mean (SD) with t test or median (Q1-Q3) with Wilcoxon rank test. Categorical variables are given N(col%) with chi-square test.
* = number of patients with available data.
Logistic model of factors associated with new neurological deficit.
| Factor | Odds Ratio | 95% Confidence Interval | |
|---|---|---|---|
| Age (y) | 0.51 | ||
| Female | 0.20 | ||
| BMI (kg/m2) | 0.97 | ||
| ASA Classification | 0.90 | ||
| Preoperative neurologic deficit present | 0.34 | ||
| Surgical time | 0.99 | ||
| Infratentorial craniotomy | 2.495 | 0.937–6.664 | 0.07 |
| EBL | 0.54 | ||
| Lactate ≥ 2 mmol/L | 0.23 |
Survival model of hospital length of stay (days).
| Factor | Hazard Ratio | 95% Confidence Interval | |
|---|---|---|---|
| Age (y) | 0.90 | ||
| Female | 0.53 | ||
| BMI (kg/m2) | 1.084 | 1.045–1.125 | |
| ASA Classification | 0.29 | ||
| Preoperative neurologic deficit present | 0.90 | ||
| Surgical time | 1.16 | ||
| Infratentorial craniotomy | 0.99 | ||
| EBL | 0.44 | ||
| Lactate ≥ 2 mmol/L | 0.594 | 0.365–0.966 |