| Literature DB >> 35321692 |
Gulsen Akkoc1, Ali Duzova2, Ayse Korkmaz3, Berna Oguz4, Sule Yigit5, Murat Yurdakok5.
Abstract
BACKGROUND: Data on the long-term effects of neonatal acute kidney injury (AKI) are limited.Entities:
Keywords: Acute kidney injury; Ambulatory blood pressure monitoring; Hyperfiltration; Long-term follow-up; Microalbuminuria; Neonate
Mesh:
Substances:
Year: 2022 PMID: 35321692 PMCID: PMC8941738 DOI: 10.1186/s12882-022-02735-5
Source DB: PubMed Journal: BMC Nephrol ISSN: 1471-2369 Impact factor: 2.388
Fig. 1Diagram showing the selection of patients in the study. In total, 72 subjects were analyzed for signs of long-term kidney dysfunction
Baseline clinical characteristics of patients during neonatal period (N = 72)
| Features | Results |
|---|---|
| Male/female, n/ | 46/26 (63.9/36.1) |
| Gestational age, | |
| 24- < 28 weeks | 6 (8.3) |
| 28- < 32 weeks | 17 (23.6) |
| 32- < 36 weeks | 12 (16.7) |
| 36–42 weeks | 37 (51.4) |
| Birth weight, | |
| 500–999 g | 9 (12.5) |
| 1,000–1,499 g | 12 (16.7) |
| 1,500–2,499 g | 15 (20.8) |
| 2,500–3,999 g | 34 (47.2) |
| 4,000–5,000 g | 2 (2.8) |
| Small for gestational age | 8 (11.1) |
| Large for gestational age | 9 (12.5) |
| Systemic diseasesa, | |
| Sepsis | 30 (41.6) |
| Patent ductus arteriosus | 25 (34.7) |
| Respiratory distress syndrome | 20 (27.7) |
| Cardiac insufficiency | 16 (22.2) |
| Disseminated intravascular coagulopathy | 12 (16.7) |
| Necrotizing enterocolitis | 11 (15.2) |
| Median age at AKI diagnosis (days) | 5 (IQR 6) |
| 0–3 days, | 14 (19.4) |
| 4–7 days, | 36 (50.0) |
| 8–14 days, | 11 (15.3) |
| > 14 days, | 11 (15.3) |
| Before AKI, | |
| Mechanical ventilation | 30 (41.6) |
| Surgery | 8 (11.1) |
| Aminoglycoside | 42 (58.3) |
| Indomethacin | 17 (23.6) |
| Radio-contrast | 2 (2.8) |
| Vasopressor use, | 24 (33.3) |
| Diuretic use, | 22 (30.6) |
| Median duration of oligo-anuria among 22 patients (days) | 2 (IQR 4, range: 1–8) |
| Kidney replacement therapy (peritoneal dialysis), | 7 (9.7) |
AKI Acute kidney injury
asome patients had multiple systemic diseases
Clinical and laboratory characteristics of patients at long-term evaluation (N = 72)
| Features | Results |
|---|---|
| Age at evaluation / follow-up duration (years) | 6.82 ± 2.93 (range: 2.28–12.02) |
| 2—< 6 years, | 30 (41.6) |
| 6—13 years, | 42 (58.4) |
| Height-SDS | -0.14 ± 1.17 |
| Short stature, | 2 (2.8) |
| Weight-SDS | -0.02 ± 1.31 |
| Malnutrition, | 4 (5.6) |
| Overweighta, | 9 (12.5) |
| Obesitya, | 10 (13.8) |
| Laboratory findings | |
| Blood | |
| Hemoglobin (g/dl) | 12.97 ± 0.81 |
| Anemia, | 4 (5.6) |
| BUN (mg/dl) | 12.64 ± 2.74 |
| Creatinine (mg/dl) | 0.44 ± 0.11 |
| Uric acid (mg/dl) | 3.78 ± 0.91 |
| Sodium (mEq/L) | 141.6 ± 1.9 |
| Potassium (mEq/L) | 4.52 ± 0.36 |
| Chloride (mEq/L) | 105.8 ± 2.0 |
| Calcium (mg/dl) | 9.68 ± 0.44 |
| Phosphorus (mg/dl) | 4.86 ± 0.68 |
| Magnesium (mg/dl) | 2.07 ± 0.17 |
| Serum bicarbonate (mmol/L) | 22.6 ± 1.2 |
| eGFR (ml/min/1.73m2) | 152.3 ± 26.6 |
| > 187 ml/min/1.73m2, | 7 (9.7) |
| > 150 ml/min/1.73m2, | 37 (51.3) |
| Median ACR (mg/g) | 17.5 (IQR 17.3, range: 2.75 – 199.85) |
| 0–30, | 62/71 (87.3) |
| > 30, | 9/71 (12.7) |
| Urinary | |
| TPR (%) | 90.3 ± 3.6 |
| TPR < 85%, | 5/70 (7.1) |
| TmP/GFR (mg/dl) | 4.39 ± 0.66 |
| TmP/GFR > 6 mg/dl, | 1/70 (1.4) |
ACR Urinary albumin (mg) to creatinine (g) ratio, eGFR Estimated glomerular filtration rate, SDS Standard deviation score, TmP (GFR) Maximum serum phosphorus level adjusted to GFR, TPR Tubular phosphorus reabsorption
aoverweight: BMI is between 85th-95th percentile, obesity: BMI ≥ 95th percentile
Detailed analysis of 24-h ambulatory blood pressure measurements of 27 patients
| SBP-SDS | -0.29 ± 1.15 | -0.28 ± 1.10 | 0.12 ± 0.94 |
| ≥ 95th p, | 2 (7.4) | 3 (11.1) | 2 (7.4) |
| 90-95th p, | 1 (3.7) | - | 3 (11.1) |
| DBP-SDS | -0.37 ± 1.04 | -0.45 ± 0.77 | 0.05 ± 0.94 |
| ≥ 95th p, | - | - | 2 (7.4) |
| 90-95th p, | 2 (7.4) | - | 1 (3.7) |
| MAP-SDS | 0.03 ± 1.07 | -0.10 ± 0.93 | 0.46 ± 0.84 |
| ≥ 95th p, | 3 (11.1) | - | 4 (14.8) |
| 90-95th p, | - | 3 (11.1) | - |
| Hypertension with different criteria | |||
| -MAP ≥ 95th percentile, | 3 (11.1) | - | 4 (14.8) |
| -SBP and/or DBP ≥ 95th p percentile, | 2 (7.4) | 3 (11.1) | 3 (11.1) |
| -SBP and/or DBP and/or MAP ≥ 95th p percentile, | 3 (11.1) | 3 (11.1) | 4 (14.8) |
| Blood pressure load, | |||
| SBP | |||
| ≥ 50% | 1 (3.7) | 1 (3.7) | 3 (11.1) |
| 25–49% | 3 (11.1) | 2 (7.4) | 1 (3.7) |
| DBP | |||
| ≥ 50% | - | - | - |
| 25–49% | 1 (3.7) | - | 4 (14.8) |
| Dipping | |||
| SBP (%) | 10.7 ± 2.7 | ||
| Non-dipping (< 10%), | 9 (33.3) | ||
| DBP (%) | 18.9 ± 5.0 | ||
| Non-dipping (< 10%), | 2 (7.4) | ||
Daytime is defined as 08.00 am—08.00 pm; night-time is defined as 00.00–06.00 am
DBP Diastolic blood pressure, MAP Mean arterial pressure, SBP Systolic blood pressure, P Percentile, SDS Standard deviation score
Fig. 2A Frequency of hypertension (by office blood pressure measurement), microalbuminuria and hyperfiltration among 68 patients: 23 patients (33.8%) had at least one abnormality (N = 68). B Frequency of hypertension (by ABPM), microalbuminuria and hyperfiltration among 27 patients: 11 patients (40.7%) had at least one abnormality (N = 27). C Frequency of abnormal ABPM (hypertension and/or non-dipping), microalbuminuria and hyperfiltration among 27 patients: 16 patients (59.3%) had at least one abnormality (N = 27). ABPM: ambulatory blood pressure monitoring, ACR: urinary albumin to creatinine ratio (mg/g), eGFR: estimated glomerular filtration rate, HT: hypertension
Fig. 3The distribution of long-term kidney dysfunction parameters according to acute kidney injury stage. ABPM: ambulatory blood pressure monitoring, ACR: urinary albumin to creatinine ratio (mg/g), KDS: kidney dysfunction set, KDS-1: presence of microalbuminuria and/or hypertension by office blood pressure and/or hyperfiltration (eGFR > 187 ml/min/1.73m2), KDS-2: the presence of microalbuminuria and/or hypertension with ABPM or hyperfiltration, KDS-3: the presence of microalbuminuria and/or abnormal ABPM (hypertension and/or non-dipping) or hyperfiltration