2018
DOI: 10.1111/jcpe.13032
|View full text |Cite
|
Sign up to set email alerts
|

Periodontitis as a risk indicator and predictor of poor outcome for lacunar infarct

Abstract: Aim To investigate the association between periodontitis (PD) and lacunar infarct (LI) as well as to analyse whether PD could be a predictor of poor functional prognosis in patients with LI. Material and Methods Full‐mouth periodontal examination was done in 120 cases (patients with LI) and 157 healthy controls. Demographic, clinical, medical and neurological information were collected from all of them. In addition, a measure of periodontal inflammation and disease activity, namely the periodontal inflamed sur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
25
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
1
1

Relationship

5
3

Authors

Journals

citations
Cited by 27 publications
(26 citation statements)
references
References 42 publications
1
25
0
Order By: Relevance
“…PISA reflects the surface area of bleeding pocket epithelium in mm 2 . As previously described (Leira & Blanco, ; Leira, Rodríguez‐Yáñez, et al, , Leira, Rodríguez‐Yáñez, et al, ), PISA was calculated using a Microsoft Excel spreadsheet, in the following steps: (a) mean CAL and gingival recession for each particular tooth are calculated; (b) linear mean CAL and gingival recession are translated into the periodontal epithelial surface area (PESA) for each specific tooth (Hujoel, White, García, & Listgarten, ). The PESA for a particular tooth consists of the root surface area of that tooth measured in mm 2 , which is covered with pocket epithelium; (c) the PESA for a specific tooth is then multiplied by the proportion of sites around the tooth that was affected by bleeding on probing, resulting in the PISA for that particular tooth; and (d) the sum of all individual PISAs around individual teeth is calculated, rendering the full‐mouth PISA value in mm 2 for each participant (Nesse et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…PISA reflects the surface area of bleeding pocket epithelium in mm 2 . As previously described (Leira & Blanco, ; Leira, Rodríguez‐Yáñez, et al, , Leira, Rodríguez‐Yáñez, et al, ), PISA was calculated using a Microsoft Excel spreadsheet, in the following steps: (a) mean CAL and gingival recession for each particular tooth are calculated; (b) linear mean CAL and gingival recession are translated into the periodontal epithelial surface area (PESA) for each specific tooth (Hujoel, White, García, & Listgarten, ). The PESA for a particular tooth consists of the root surface area of that tooth measured in mm 2 , which is covered with pocket epithelium; (c) the PESA for a specific tooth is then multiplied by the proportion of sites around the tooth that was affected by bleeding on probing, resulting in the PISA for that particular tooth; and (d) the sum of all individual PISAs around individual teeth is calculated, rendering the full‐mouth PISA value in mm 2 for each participant (Nesse et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…Periodontal examination protocol was recently reported . In brief, two calibrated periodontists (YL and PA) masked to patient medical history recorded full‐mouth periodontal measurements from each participant including probing depth (PD), attachment loss (AL), gingival recession (Rec), full‐mouth plaque score (FMPS), and full‐mouth bleeding score (FMBS) .…”
Section: Methodsmentioning
confidence: 99%
“…Many studies have used PISA for evaluation of periodontal conditions. Since PISA reflects the inflammation status of periodontal tissue, these studies focused on the correlation of PISA and systemic diseases [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43], or the correlation of PISA with novel disease markers [41][42][43][44][45][46][47][48]. In the present study, IRT analysis was used to set a cut-off point for the number of bleeding sites and the maximum values of PD in a single tooth.…”
Section: Discussionmentioning
confidence: 99%