scholarly journals Incidence of the Acute Symptom of Chronic Periodontal Disease in Patients Undergoing Supportive Periodontal Therapy: A 5-Year Study Evaluating Climate Variables

Author(s):  
Hikari Saho ◽  
Noriko Takeuchi ◽  
Daisuke Ekuni ◽  
Manabu Morita

Although patients under supportive periodontal therapy (SPT) have a stable periodontal condition, the acute symptom of chronic periodontal disease occasionally occurs without a clear reason. Therefore, in the present study, to obtain a better understanding of this relationship in patients undergoing SPT, we hypothesized that the acute symptom of chronic periodontal disease might be affected by climate factors. We conducted a questionnaire study and carried out oral examinations on patients undergoing SPT who had been diagnosed as having the acute symptom of chronic periodontal disease. We collected climate data from the local climate office in Okayama city, Japan. We predicted parameters that affect the acute symptom of chronic periodontal disease with unidentified cause and divided patients into high and low groups in terms of climate predictors. Then we defined the cut-off values of parameters showing significant differences in the incidence of the acute symptom of chronic periodontal disease. The incidence of the acute symptom of chronic periodontal disease with unidentified cause was significantly different when the cases were classified according to the maximum hourly decrease in barometric pressure (1.5 and 1.9 hPa) (p = 0.04 and p = 0.03, respectively). This suggests that climate variables could be predictors of the acute symptom of chronic periodontal disease. Therefore, gaining a better understanding of these factors could help periodontal patients undergoing SPT prepare to avoid the acute symptom of chronic periodontal disease.

2021 ◽  
Vol 11 (16) ◽  
pp. 7463
Author(s):  
Maria Jesús Lisbona-González ◽  
Esther Muñoz-Soto ◽  
Candela Reyes-Botella ◽  
Maria Victoria Olmedo-Gaya ◽  
Javier Diaz-Castro ◽  
...  

Periodontal disease encompasses gingivitis and periodontitis and is one of the most common chronic infections in the adult population. This study aimed to evaluate the influence of Spanish propolis extract (EEP) on the effect of the clinical and microbiological parameters as an adjuvant to scaling and root planning in patients undergoing supportive periodontal therapy (SPT). Forty chronic periodontitis patients were randomly assigned into two groups for the treatment. In the control group (n = 20), the sites were treated by scaling and root planing followed by gingival irrigation with physiological saline and in the test group (n = 20), the sites were treated by scaling and root planing followed by subgingival placement of EEP. At baseline (BL), bleeding on probing positive (BOP+) sites with probing pocket (PPD) ≥ 4 mm were defined as study sites. Plaque index, PPD, BOP, clinical attachment level (CAL), and subgingival plaque were evaluated at BL and 1 month later. The results showed a significant clinical improvement (p < 0.05) in the PPD, CAL and BOP+ comparing them with BL and one month after the periodontal treatment and a significant reduction (p < 0.05) for Tannerella forsythensis, Porphyromonas gingivalis, Prevotella intermedia and Treponema denticola in both groups. In addition, the improvement of clinical parameters was observed with subgingival use of EEP and also statistically significant differences between groups were observed (p < 0.05) such as reductions of BOP+ % and reduced counts of T. forsythensis and P. gingivalis, considered as the “key pathogens” for the periodontal diseases. Our results suggest prophylactic and therapeutic potential for EEP against periodontal diseases, improving clinical parameters, reducing gingival bleeding and decreasing bacterial counts of T. forsythensis and P. gingivalis. The subgingival use of EEP represents a promising modality as an adjuvant in periodontal therapy to avoid microbial resistance and other adverse effects.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Samira Mukhtar Buzinin ◽  
Aied Mohammed Alabsi ◽  
Alexander Tong Boon Tan ◽  
Vui King Vincent-Chong ◽  
Dasan Swaminathan

The association between diabetes mellitus and chronic periodontal disease has long been established. Most of the researches linking these two very common chronic diseases were based on type 2 diabetes mellitus and chronic periodontal disease. However, this study was conducted to investigate the association between type 1 diabetes and chronic periodontal disease in Malaysian subjects. Forty-one Malaysian subjects, of which 20 subjects were type 1 diabetics and with chronic periodontal disease (test group) and 21 subjects with only chronic periodontal disease (control group), were included in the study. Periodontal parameters and plaque samples for microbiological evaluation were done at baseline, 2 and 3 months after nonsurgical periodontal therapy. Blood samples were taken from only the test group and evaluated for HbA1c at baseline and 3 months after periodontal therapy. There were no statistically significant difference in periodontal parameters between groups (P>0.05) and no significant improvement in the level of HbA1c in the test group. Microbiological studies indicated that there were significant reductions in the levels of the tested pathogens in both groups. The results of our study were similar to the findings of several other studies that had been done previously.


Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2153
Author(s):  
Amir Hossein Dehghanipour ◽  
Davood Moshir Panahi ◽  
Hossein Mousavi ◽  
Zahra Kalantari ◽  
Massoud Tajrishy

Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and the overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake’s impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961–2016. For this, we compared high quality, long-term climate data obtained from Urmia and Saqez meteorological stations, located 30 km and 185 km from the lake center, respectively. We then investigated the effect of lake level decrease on the climate variables by dividing the data into periods 1961–1995 (normal lake level) and 1996–2016 (low lake level). The results showed that at Urmia station (close to the lake), climate parameters displayed fewer fluctuations and were evidently affected by Lake Urmia compared with those at Saqez station. The effects of the lake on the local climate increased with increasing temperature, with the most significant impact in summer and the least in winter. The results also indicated that, despite decreasing lake level, local climate conditions are still influenced by Lake Urmia, but to a lesser extent.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Maurizio Marchi ◽  
Dante Castellanos-Acuña ◽  
Andreas Hamann ◽  
Tongli Wang ◽  
Duncan Ray ◽  
...  

AbstractInterpolated climate data have become essential for regional or local climate change impact assessments and the development of climate change adaptation strategies. Here, we contribute an accessible, comprehensive database of interpolated climate data for Europe that includes monthly, annual, decadal, and 30-year normal climate data for the last 119 years (1901 to 2019) as well as multi-model CMIP5 climate change projections for the 21st century. The database also includes variables relevant for ecological research and infrastructure planning, comprising more than 20,000 climate grids that can be queried with a provided ClimateEU software package. In addition, 1 km and 2.5 km resolution gridded data generated by the software are available for download. The quality of ClimateEU estimates was evaluated against weather station data for a representative subset of climate variables. Dynamic environmental lapse rate algorithms employed by the software to generate scale-free climate variables for specific locations lead to improvements of 10 to 50% in accuracy compared to gridded data. We conclude with a discussion of applications and limitations of this database.


Author(s):  
Amir Hossein Dehghanipour ◽  
Davood Moshir Panahi ◽  
Hossein Mousavi ◽  
Zahra Kalantari ◽  
Massoud Tajrishy

Lake Urmia in northwestern Iran is the largest lake in Iran and the second largest saltwater lake in the world. The water level in Lake Urmia has decreased dramatically in recent years, due to drought, climate change, and overuse of water resources for irrigation. This shrinking of the lake may affect local climate conditions, assuming that the lake itself affects the local climate. In this study, we quantified the lake&rsquo;s impact on the local climate by analyzing hourly time series of data on climate variables (temperature, vapor pressure, relative humidity, evaporation, and dewpoint temperature for all seasons, and local lake/land breezes in summer) for the period 1961-2016. For this, we compared high quality, long-term climate data obtained from Urmia and Saqez meteorological stations, located 30 km and 185 km from the lake center, respectively. We then investigated the effect of lake level decrease on the climate variables by dividing the data into 1961-1995 (normal lake level) and 1996-2016 (low lake level). The results showed that at Urmia station (close to the lake), climate parameters displayed fewer fluctuations and were evidently affected by Lake Urmia compared with those at Saqez station. The effects of the lake on the local climate increased with increasing temperature, with the most significant impact in summer and the least in winter. The results also indicated that, despite decreasing lake level, local climate conditions are still influenced by Lake Urmia, but to a lesser extent.


2009 ◽  
Vol 409 (1-2) ◽  
pp. 117-122 ◽  
Author(s):  
Andrea M. Marcaccini ◽  
Arthur B. Novaes ◽  
Cesar A. Meschiari ◽  
Sergio L. Souza ◽  
Daniela B. Palioto ◽  
...  

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