| Literature DB >> 34297188 |
Karolin Höfer1, Anna Turnowsky2, Rasmus Ehren2, Christina Taylan2, Georg Plum3, Hanna Witte4, Michael J Noack4, Lutz T Weber2.
Abstract
BACKGROUND: Chronic kidney disease (CKD) still leads to high mortality rates, mainly due to cardiovascular disease. One important influencing factor is persisting low-grade chronic inflammation partly maintained by gingivitis that favors transient bacteremia during daily activities such as toothbrushing.Entities:
Keywords: Bacteremia; Chronic; Dental prophylaxis; Inflammation; Oral health; Renal insufficiency; Toothbrushing
Mesh:
Year: 2021 PMID: 34297188 PMCID: PMC8816805 DOI: 10.1007/s00467-021-05153-1
Source DB: PubMed Journal: Pediatr Nephrol ISSN: 0931-041X Impact factor: 3.714
Fig. 1Study design, exploratory randomized controlled trial to evaluate the effect of intensive dental prophylaxis on the prevalence of transient bacteremia after toothbrushing and proinflammatory biomarkers in children, adolescents, and young adults with CKD
Demographic and clinical characteristics of the control and intensive prophylaxis group
| Characteristic | Total (n = 27) | IP (n = 14) | TAU (n = 13) | p-value |
|---|---|---|---|---|
| 15 (55.6%) | 9 (64.3%) | 6 (46.2%) | 0.45 | |
| Age in years | 14.4 ± 5.3 | 13.8 ± 5 | 15 ± 5.8 | 0.56 |
| GFR | 35 ± 22 | 37.9 ± 26.2 | 31.8 ±16.8 | 0.48 |
| Primary disease | ||||
|
| 11 (40.7%) | 8 (57.1%) | 3 (23.1%) | 0.12 |
|
| 7 (25.9%) | 2 (14.3%) | 5 (38.5%) | 0.21 |
|
| 6 (22.2%) | 2 (14.3%) | 4 (30.8%) | 0.39 |
|
| 1 (3.7%) | 0 | 1 (7.7%) | 0.48 |
|
| 2 (7.4%) | 2 (14.3%) | 0 | 0.48 |
| Therapy | ||||
|
| 7 (25.9%) | 2 (14.3%) | 5 (38.5%) | 0.21 |
|
| 3 (11.1%) | 2 (14.3%) | 1 (7.7%) | 1.0 |
|
| 15 (55.6%) | 9 (64.3%) | 6 (46.2%) | 0.45 |
|
| 2 (7.4%) | 1 (7.1%) | 1 (7.7%) | 1.0 |
| Medication | ||||
|
| 19 (70.4%) | 10 (71.4%) | 9 (69.2%) | 1.0 |
|
| 5 (18.5%) | 3 (21.4%) | 2 (15.4%) | 1.0 |
|
| 16 (59.3%) | 8 (57.1%) | 8 (61.5%) | 1.0 |
|
| 4 (14.8%) | 2 (14.3%) | 2 (15.4%) | 1.0 |
|
| 23 (85.2%) | 11 (78.6%) | 12 (92.3%) | 0.6 |
| DMFT/dmft | 0.6 ± 1 | 0.5 ± 1 | 0.6 ± 1 | 0.87 |
| PBI | 1.1 ± 0.7 | 1 ± 0.6 | 1.1 ± 0.8 | 0.94 |
| GI | 1 ± 0.6 | 0.9 ± 0.5 | 1.2 ± 0.8 | 0.34 |
| QHI | 2.5 ± 1 | 2.7 ± 1 | 2.3 ± 1 | 0.19 |
IP intensive prophylaxis, TAU treatment as usual, GFR glomerular filtration rate, CAKUT congenital anomalies of the kidney and urinary tract, DMFT/dmft decayed/missing/filled teeth-index, permanent (DMFT), or primary dentition (dmft), PBI papillary bleeding index, GI Löe-Silness gingival index, QHI Quigley-Hein plaque index; Characteristics for categorial variables are presented as n counts and (percentage), and continuous variables as mean and ± SD standard deviation
Fig. 2This 10-year-old study patient shows generalized moderate gingivitis, with localized severe inflammation at gingival margin (GI 3). Large plaque accumulations are generally visible on the hard tooth substance. After 3 individual prophylactic sessions, including professional tooth cleaning and motivating cleaning instruction, generalized gingivitis is reduced (GI 0-1). Due to the malpositioned teeth in the upper jaw, there are plaque retention sites that promote the repeated development of gingivitis in the absence of oral hygiene. Additional orthodontic treatment could facilitate oral hygiene
Fig. 3This 6-year-old study patient shows generalized gingivitis (GI 3) with signs of inflammation, local hyperplasia, and increased pocket depth (PD=6mm). The presence of soft and hard tissue illustrates poor oral health condition. The intensive needs-oriented program improved oral hygiene to almost no signs of gingival inflammation in 4 sessions (GI 0). The measuring of the pocket depth showed a reduction by 3 mm based solely on non-surgical treatment
Identification of bacterial species in positive BACTECTM culture bottles 30s after toothbrushing
| Treatment group | Number | Blood culture 1a | Blood culture 2b | Blood culture 3c |
|---|---|---|---|---|
| TAU | 1 | neg. | neg. | |
| 2 | neg. | neg. | ||
| 3 | neg. | neg. | ||
| IP | 4 | neg. | neg. | |
| 5 | neg. | neg. | ||
| 6 | neg. | neg. | ||
| 7 | neg. | neg. |
aBlood culture at baseline before any treatment, bBlood culture after intervention period 1, when TAU received prophylactic treatment as usual, and IP received intensive dental prophylaxis, cBlood culture after intervention period 2, when TAU underwent intensive dental prophylaxis, and IP received no prophylaxis
Fig. 4Number of positive BACTEC blood culture bottles 30s after toothbrushing at baseline, after intervention periods 1 and 2 separately for TAU and IP. After intensive dental prophylactic measures in IP group, bacteremia was reduced from 2 to 0 positive blood cultures (signaled by arrow, p = 0.368)
Impact of intensive dental prophylaxis on CRP, serum albumin, creatinine, and 25-OH-vitamin D levels in patients with CKD
| Markers | Follow-up | ||
|---|---|---|---|
| Baseline | After first intervention period1 | After second intervention period2 | |
| CRP, mg/l | |||
| TAU | 2 ± 2.2 (n = 9) | 0.3 ± 0 (n = 7) | 0.7 ± 1.1 (n = 6) |
| IP | 1.2 ± 0.9 (n = 8) | 0.9 ± 1.1 (n = 6) | 1.2 ± 1.1(n = 10) |
| p-value between groups | 0.815 | 0.138 | 0.368 |
| Serum albumin, g/l | |||
| TAU | 44.4 ± 3.1 (n = 11) | 45 ± 2.7 (n = 10) | 45.3 ± 2.2 (n = 9) |
| IP | 44.7 ± 2.4 (n = 12) | 44.8 ± 1.8 (n = 11) | 45.4 ± 2.8 (n = 11) |
| p-value between groups | 0.695 | 0.856 | 0.979 |
| Creatinine, mg/dl | |||
| TAU | 2.8 ± 2.7 (n = 12) | 2 ± 0.9 (n = 11) | 2.8 ± 2.9 (n = 12) |
| IP | 2.5 ± 3 (n = 12) | 1.5 ± 0.7 (n = 11) | 1.6 ± 0.8 (n = 12) |
| p-value between groups | 0.347 | 0.193 | 0.198 |
| 25-OH-vitamin D, μg/l | |||
| TAU | 34.8 ± 7.9 (n = 8) | 46.7 ± 6.6* (n = 7) | 47.3 ± 4.8 (n = 3) |
| IP | 40.3 ± 14.7 (n = 8) | 44.8 ± 10.3 (n = 8) | 38.8 ± 14 (n = 9) |
| p-value between groups | 0.370 | 0.685 | 0.341 |
1During the first intervention period, IP received intensive treatment; 2During the second intervention period, TAU received intensive treatment; TAU treatment as usual group, IP intensive prophylaxis group, *p = 0.046 compared to baseline