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Article

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

by
Hikari Saho
,
Noriko Takeuchi
*,
Daisuke Ekuni
and
Manabu Morita
Department of Preventive Dentistry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, 2-5-1 Shikata-cho, Kita-ku, Okayama 700-8558, Japan
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(17), 3070; https://doi.org/10.3390/ijerph16173070
Submission received: 5 June 2019 / Revised: 30 July 2019 / Accepted: 19 August 2019 / Published: 23 August 2019
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Abstract

:
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.

1. Introduction

Periodontal disease is a chronic inflammatory disease initiated by pathogenic bacteria. It destroys the connective tissues or the bone that support teeth and induces periodontal pocket formation or gingival bleeding [1,2]. The host response to these microorganisms and their products is responsible for most of the destruction of periodontal tissue [3,4]. The aim of active periodontal treatment is to reduce the inflammatory response by removing bacterial deposits. First, basic periodontal treatment (plaque control, scaling, root planing, elimination of plaque retention factors, occlusal adjustment, and temporary splint) is given to all periodontal patients. After basic periodontal treatment, periodontal surgery is considered if active pockets with ≥4 mm depth remain. After periodontal surgery, oral rehabilitation such as repair and prosthetic procedures is performed to restore oral function [5]. After treatment and inflammation arrest, supportive periodontal therapy (SPT) is often applied to reduce the likelihood of reinfection and disease progression, help patients maintain teeth without pain, control excessive mobility or infection over the long term, and prevent other related oral diseases [6].
SPT is considered an essential part of overall periodontal control and important for the long-term stability of patients who have received successful treatment for periodontal disease [7,8,9]. Although the periodontal condition of patients undergoing SPT tends to be stable, acute symptoms, e.g., periodontal abscesses, occasionally occur [10]. A previous study reported the existence of intra-oral triggering factors, including a cracked tooth, local factors affecting root morphology, foreign bodies such as a piece of a toothpick, and the infection of lateral cysts [11]. However, the acute symptom of chronic periodontal disease occasionally occurs in some patients who show no such intra-oral factors.
Climate variables, such as maximum daily wind speed, maximum hourly range of temperature, and the maximum hourly range of barometric pressure, have been reported to be associated with a variety of diseases and symptoms, including blood pressure [12,13,14], cardiovascular disease [15,16], heatstroke [17], stroke [18], pediatric trauma [19], mortality [20], asthma [21,22], depression [23,24], rheumatoid arthritis [25,26], and pain in general [27]. Associations with climate variables have also been reported in the dental field for conditions such as temporomandibular disorders [28] and oral pain [29].
Our previous short-term pilot study found that climate variables significantly affected the incidence of the acute symptom of chronic periodontal disease [30]. Therefore, we hypothesized that climate factors might also have some effect on the incidence of the acute symptom of chronic periodontal disease over the long term [30]. To provide a stable basis for a proper time-series study over the long term, a study period of 5 years or more with at least 50 observations is needed [31]. The aim of the present study was to identify and establish possible cut-off values for climate conditions that might affect the incidence of the acute symptom of chronic periodontal disease and their relationship over a 5-year period.

2. Materials and Methods

2.1. Study Population

Data were collected from patients who had undergone SPT at the Preventive Dentistry Clinic of Okayama University Hospital in Okayama, Japan from November 2011 to October 2016. In our clinic, patients received SPT consisting of oral examinations (periodontal status assessed with bleeding on probing, probing pocket depth, clinical attachment level, oral hygiene conditions, occlusion, furcation involvement, and plaque retention factors), oral hygiene instructions, supra/sub-gingival debridement and scaling, and root planing every 3–4 months [5,32]. The inclusion criteria were patients who had clinical symptoms such as redness, swelling, pain, and a feeling of warmth in the periodontal lesion and received a diagnosis of acute symptom of chronic periodontal disease at a regularly scheduled SPT visit or an emergency visit during the SPT phase. [33,34]. The exclusion criteria were hospitalized patients, those with cancer, those with missing data, and those who were living outside of Okayama’s local climate area. All patients selected for inclusion provided written informed consent to participate in the study, which was conducted in accordance with the Declaration of Helsinki. The study protocol was approved by the Okayama University Hospital Ethics Committees (Nos. 502, 692).

2.2. Oral Examination

The oral status of the patients was assessed by qualified dentists. X-rays and/or oral examinations were used to distinguish the acute symptom of chronic periodontal disease from other diseases, such as apical periodontal disease, trauma, and tooth fracture.

2.3. Questionnaires

In order to confirm a history of the acute symptom of chronic periodontal disease, we collected the following information: (1) Date, (2) location, (3) possible trigger that the patients were aware of, and (4) the other perceptible trigger, such as physical and/or mental stress, occlusal trauma, and insufficient of oral hygiene. We defined the acute symptom of chronic periodontal disease as cases with unidentified cause in which no possible triggers could be clearly identified [30].

2.4. Climate Data

We obtained the following climate data from the local climate office in Okayama city: Daily humidity range; minimum daily humidity (%); maximum daily humidity (%); mean daily humidity (%); maximum hourly decrease in temperature (°C); maximum hourly increase in temperature (°C); daily temperature range (°C); minimum daily temperature (°C); maximum daily temperature (°C); mean daily temperature (°C); total daily rainfall (mm); total hours of sunlight (h); maximum hourly decrease in barometric pressure (hPa); maximum hourly increase in barometric pressure (hPa); minimum daily barometric pressure (hPa); maximum daily barometric pressure (hPa); mean daily barometric pressure (hPa); maximum daily humidity (%); minimum daily wind speed (m/s); maximum daily wind speed (m/s); and mean daily wind speed (m/s) [30,35,36].

2.5. Statistical Analysis

We investigated the association between these climate variables and the incidence of the acute symptom of chronic periodontal disease using the Box–Jenkins multivariate autoregressive integrated moving average (ARIMA) model [37]. We established models by determining the ARIMA model orders (p, d, q) using autocorrelation and partial autocorrelation, and then the model parameters using the unconditional least squares method. We then evaluated the model fits and statistical significance of the parameters [35], and based on the results, we predicted the parameters that would affect the acute symptom of chronic periodontal disease with unidentified cause.
Furthermore, we divided cases identified as the acute symptom of chronic periodontal disease with unidentified cause into high and low groups in terms of climate predictors, and then defined cut-off values for the parameters showing significant differences in the incidence of cases. We used the chi-squared test to compare the daily incidence between the high and low groups. The Statistical Package for the Social Sciences for Windows (version 21.0J; SPSS Japan, Tokyo, Japan) was used for all analyses, and values of p < 0.05 were considered statistically significant.

3. Results

Table 1 shows the characteristics of the total cohort of 47,859 patients. 674 (1.41%) of them had received a diagnosis of being in the acute symptom of chronic periodontal disease. Among these patients, 458 were in the acute symptom of chronic periodontal disease with unidentified cause. The mean age ± standard deviation was 68.2 ± 10.9 years.
Table 2 shows the correlation between the incidence of the acute symptom of chronic periodontal disease with unidentified cause and climate parameters. Although four climate parameters were correlated with the incidence of the acute symptom of chronic periodontal disease, only the association with mean daily temperature was significant (p = 0.027). According to the ARIMA model, the climate predictors of the acute symptom of chronic periodontal disease with unidentified cause were mean daily barometric pressure, minimum daily barometric pressure, maximum hourly decrease of barometric pressure, and mean daily temperature. The lag time was within 1–3 days after changes in the climate variables.
Figure 1 shows the monthly average incidence rate of the acute symptom of chronic periodontal disease with unidentified cause. The incidence rate was the highest in January (1.17%) and the lowest in May (0.82%). The ratio appeared to have an upward trend and to peak in the winter.
Figure 2 shows the cut-off values and the incidence rate of the maximum hourly decrease in barometric pressure. Based on the cut-off values, we classified the cases with unidentified cause into high and low incidence groups. The cut-off values for the maximum hourly decrease in barometric pressure (1.5 and 1.9 hPa) showed the following significant differences with regard to the incidence of cases. The incidence of the acute symptom of chronic periodontal disease with unidentified cause was 1.3% at 2 days after the day with ≥1.5 hPa maximum hourly decrease in barometric pressure, and 1.0% at 2 days with <1.5 hPa. A significant difference was observed between the two groups (p = 0.04). The incidence rate of the acute symptom of chronic periodontal disease with unidentified cause was 1.5% at 2 days after the day with ≥1.9 hPa maximum hourly decrease in barometric pressure and 0.9% at 2 days with <1.9 hPa. This difference was also significant between the two groups (p = 0.03).

4. Discussion

To the best of our knowledge, this is the first long-term study to investigate the association between the incidence of the acute symptom of chronic periodontal disease with unidentified cause and climate parameters using the ARIMA model. The results revealed that mean daily barometric pressure, minimum daily barometric pressure, maximum hourly decrease of barometric pressure, and mean daily temperature might be predictors of the acute symptom of chronic periodontal disease. In addition, we suggested cut-off values for climate factors. As periodontal disease is a highly prevalent disease, we consider it is meaningful that some predictors of its acute symptom may have been clarified. These predictors could serve as a useful tool for patients undergoing SPT to help avoid the acute symptom of chronic periodontal disease. For example, it may be possible to prevent the acute symptom of chronic periodontal disease by prior antibiotic treatment or forecasting.
The incidence rate of the acute symptom of chronic periodontal disease with unidentified cause was significantly different when we classified the cases into two groups based on the maximum hourly decrease in barometric pressure (1.5 and 1.9 hPa). The central pressure of an explosive cyclone decreases by about 1 hPa/h [38]. An hourly decrease in barometric pressure of 1.5 hPa or 1.9 hPa is relatively large, and such a decrease does not occur frequently (136 days and 50 days every 5 years, respectively). A relatively low incidence of these climate changes might trigger the events in which acute symptom occasionally occurs even in a long-term stable stage of chronic periodontal disease.
An animal study indicated that decreases in barometric pressure (5 hPa/h) result in pain and increases in blood pressure and heart rate [39]. It is considered that decreased barometric pressure causes tension to the sympathetic nervous system and increases secretion of adrenocortical hormones such as epinephrine [40]. These changes in hormone secretion and excitation of sympathetic nerves cause ischemia by contracting peripheral blood vessels and lowering oxygen concentration and pH in tissues; these conditions increase local pain activity [40]. Another previous study reported that decreasing barometric pressure affects some stress hormones, including catecholamines, such as epinephrine, norepinephrine, dopamine, and cortisol [41], which directly affect the growth of periodontal disease-related bacteria in vitro [42]. Therefore, decreases in barometric pressure might indirectly contribute to the incidence of the acute symptom of chronic periodontal disease. A case report also showed that a rapid decrease in barometric pressure, for example, on an airplane, can affect the status of acute apical periodontal disease [43]. Other studies have found that barometric pressure can affect a variety of symptoms, including myopia [44], passenger discomfort on aircrafts [45], sleep-disordered breathing [46], deep venous thrombosis [47], and oral pain [29,48]. Although a mechanism may underlie the relationship between barometric pressure and the incidence of the acute symptom of chronic periodontal disease remains difficult to explain [41].
In the present study, a relationship was also found between mean daily temperature and the incidence of the acute symptom of chronic periodontal disease. The incidence of the acute symptom of chronic periodontal disease with unidentified cause was 0.89% at 1 day after days with a mean temperature of ≥13 °C and 1.05% at 1 day after days with a mean daily temperature of <13 °C (p = 0.03) (Figure 3). In addition, it was 0.86% at 1 day after days with a mean daily temperature of ≥17 °C and 1.07% at 1 day after days with a mean temperature of <17 °C. A significant difference was observed between these two groups (p = 0.03) (Figure 3). A mean daily temperature of <17 °C is common in Okayama during the winter season, which supports the upward trend and peak incidence of the acute symptom of chronic periodontal disease in winter. A past study indicated that changes in temperature affect blood biomarkers. For instance, C-reactive protein and interleukin-6 levels increase with a 10 °C decrease in temperature [49]. Moreover, fibrinogen and plasminogen activator inhibitor levels have been found to increase in association with a 5 °C decrease in temperature in patients with a specific genetic background [50]. According to a previous study involving individuals with asthma and chronic obstructive pulmonary disease, cold air resulting from low temperatures can stimulate bioactive chemical release from granulocytes or mast cell degranulation and increase macrophage recruitment in the lower airways, which can lead to wheezing [51,52]. Another previous study reported that exposure to cold air reduces immunity to respiratory infections [53]. Low temperatures have also been reported to result in similar respiratory diseases in a number of different countries [54,55,56,57]. Therefore, the inflammatory process might be affected, at least in part, by temperature-related changes in blood biomarkers, even in periodontal tissue; however, the underlying mechanism remains unclear.
Among the sample in the present study, the occurrence of the acute symptom of chronic periodontal disease appeared within 1–3 days after climate episodes. This finding suggests a response time lag. During the initial inflammatory process in the acute symptom of chronic periodontal disease, pathogenic bacteria attack soft tissues surrounding the periodontal pocket [58]. These bacterial pathogens attract inflammatory cells to induce chemokines or cytokines and adjust the inflammatory response within 2–72 h [59,60,61,62]. This result was consistent with our previous pilot study and demonstrated good reproducibility.
In the present study, the incidence of the acute symptom of chronic periodontal disease in all patients undergoing SPT was 1.41%. Previous studies have reported that the prevalence of periodontal abscesses was 1.04–27.5% [63,64,65,66,67]. The prevalence of periodontal abscesses in the present study was also within this range. Therefore, our findings are not limited to a specific group and may be generalizable to other populations.
This study has some limitations. First, we obtained climate data from only one region. It is necessary to conduct a multicenter investigation including other geographical regions in the future. Second, further studies to visualize in vivo changes are required to explore the exact mechanisms underlying climate variability. Further research is needed to gain a better understanding of how climate variables interact with each other, and to elucidate the mechanism by which these factors relate to the incidence of the acute symptom of chronic periodontal disease. Third, we did not investigate timely analyses about systematic diseases at the incidence of the acute symptom of chronic periodontal disease. The chronic pathologies might have affected the incidence of the acute symptom of chronic periodontal disease [68,69]. Finally, we could not use disinfectants containing 0.12–0.50% of chlorhexidine [70] during SPT phase because the upper limit concentration is defined as 0.05% by the Japanese pharmaceutical affairs law. However, it is possible that some materials other than chlorhexidine may have suppressed the acute symptom of chronic periodontal disease.

5. Conclusions

The incidence of the acute symptom of chronic periodontal disease with unidentified cause is likely to occur within three days of a climate episode, such as changes in barometric pressure or temperature. In addition, the incidence of the acute symptom of chronic periodontal disease with unidentified cause significantly differed when cases were classified based on the maximum hourly decrease in barometric pressure (1.5 and 1.9 hPa).

Author Contributions

H.S., N.T., D.E., and M.M. conceived and planned the project, conducted oral examinations, and wrote the manuscript. H.S. and N.T. performed data entry and conducted the statistical analyses.

Acknowledgments

The authors are grateful to Keiko Kimura for assistance with the data analysis. This work was supported by Grants-in-Aid for Scientific Research (Nos. 40157904 and 25670892) from the Ministry of Education, Culture, Sports, Science, and Technology, Tokyo, Japan.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Madianos, P.N.; Bobetsis, Y.A.; Kinane, D.F. Generation of inflammatory stimuli: How bacteria set up inflammatory responses in the gingiva. J. Clin. Periodontol. 2005, 32, 57–71. [Google Scholar] [CrossRef] [PubMed]
  2. Colombo, A.P.V.; Boches, S.K.; Cotton, S.L.; Goodson, J.M.; Kent, R.; Haffajee, A.D.; Socransky, S.S.; Hasturk, H.; Van Dyke, T.E.; Paster, B.J. Comparisons of Subgingival Microbial Profiles of Refractory Periodontitis, Severe Periodontitis and Periodontal Health using the Human Oral Microbe Identification Microarray (HOMIM). J. Periodontol. 2009, 80, 1421–1432. [Google Scholar] [CrossRef] [PubMed]
  3. Page, R.C.; Kornman, K.S. The pathogenesis of human periodontitis: An introduction. Periodontology 2000 1997, 14, 9–11. [Google Scholar] [CrossRef] [PubMed]
  4. Benakanakere, M.; Kinane, D.F. Innate cellular responses to the periodontal biofilm. Front. Oral Biol. 2012, 15, 41–55. [Google Scholar]
  5. JSP Clinical Practice Guideline for the Periodontal Treatment. 2015. Available online: www.perio.jp/publication/upload_file/guideline_perio_plan2015_en.pdf (accessed on 25 July 2019).
  6. Sanz-Miralles, E.C.; Twigg, J.; Bravo, M.; Manresa, C. Supportive periodontal therapy (SPT) for maintaining the dentition in adults treated for periodontitis. Cochrane Database Syst. Rev. 2018. [Google Scholar] [CrossRef]
  7. Parameter on Periodontal Maintenance. J. Periodontol. 2000, 71, 849–850. [CrossRef]
  8. Cohen, R.E. Research, Science and Therapy Committee, American Academy of Periodontology. Position paper: Periodontal maintenance. J. Periodontol. 2003, 74, 1395–1401. [Google Scholar]
  9. Gaunt, F.; Devine, M.; Pennington, M.; Vernazza, C.; Gwynnett, E.; Steen, N.; Heasman, P.; Vernazza, C. The cost-effectiveness of supportive periodontal care for patients with chronic periodontitis. J. Clin. Periodontol. 2008, 35, 67–82. [Google Scholar] [CrossRef]
  10. Silva, G.L.M.; Soares, R.V.; Zenóbio, E.G. Periodontal Abscess during Supportive Periodontal Therapy: A Review of the Literature. J. Contemp. Dent. Pract. 2008, 9, 82–91. [Google Scholar] [CrossRef] [Green Version]
  11. Herrera, D.; Roldán, S.; Sanz, M. The periodontal abscess: A review. J. Clin. Periodontol. 2000, 27, 377–386. [Google Scholar] [CrossRef]
  12. Xu, D.; Zhang, Y.; Wang, B.; Yang, H.; Ban, J.; Liu, F.; Li, T. Acute effects of temperature exposure on blood pressure: An hourly level panel study. Environ. Int. 2019, 124, 493–500. [Google Scholar] [CrossRef] [PubMed]
  13. Duranton, F.; Palma, A.; Stegmayr, B.; Wauthier, M.; Torres, A.; Argilés, À. Blood Pressure Seasonality in Hemodialysis Patients from Five European Cities of Different Latitudes. Kidney Blood Press. Res. 2018, 43, 1529–1538. [Google Scholar] [CrossRef] [PubMed]
  14. Varlamova, N.G.; Zenchenko, T.A.; Boyko, E.R. Annual blood pressure dynamics and weather sensitivity in women. Ter. Arkhiv. 2017, 89, 56. [Google Scholar] [CrossRef] [PubMed]
  15. Fernández-García, J.M.; Dosil Díaz, O.; Taboada Hidalgo, J.J.; Fernández, J.R.; Sánchez-Santos, L. Influence of weather in the incidence of acute myocardial infarction in Galicia. Med. Clin. (Barc.) 2015, 145, 97–101. [Google Scholar] [CrossRef] [PubMed]
  16. Cheng, X.; Su, H. Effects of climatic temperature stress on cardiovascular diseases. Eur. J. Intern. Med. 2010, 21, 164–167. (In Spain) [Google Scholar] [CrossRef] [PubMed]
  17. Shanks, N.J.; Papworth, G. Environmental factors and heatstroke. Occup. Med. 2001, 51, 45–49. [Google Scholar] [CrossRef] [Green Version]
  18. Tamasauskiene, L.; Rastenyte, D.; Radisauskas, R.; Tamosiunas, A.; Tamasauskas, D.; Vaiciulis, V.; Kranciukaite-Butylkiniene, D.; Milinaviciene, E. Relationship of meteorological factors and acute stroke events in Kaunas (Lithuania) in 2000–2010. Environ. Sci. Pollut. Res. 2017, 24, 9286–9293. [Google Scholar] [CrossRef]
  19. MacGregor, D.M. Effect of weather on attendance with injury at a paediatric emergency department. Emerg. Medi. J. EMJ 2003, 20, 204–205. [Google Scholar] [CrossRef] [Green Version]
  20. Alahmad, B.; Shakarchi, A.; AlSeaidan, M.; Fox, M. The effects of temperature on short-term mortality risk in Kuwait: A time-series analysis. Environ. Res. 2019, 171, 278–284. [Google Scholar] [CrossRef]
  21. Ehelepola, N.D.B.; Ariyaratne, K.; Jayaratne, A. The association between local meteorological changes and exacerbation of acute wheezing in Kandy, Sri Lanka. Glob. Health Action 2018, 11, 1482998. [Google Scholar] [CrossRef]
  22. Kunikullaya, K.U.; Vijayaraghava, A.; Asha, P.; Kunnavil, R.; Muralimohan, B. Meteorological parameters and pollutants on asthma exacerbation in Bangalore, India—An ecological retrospective time-series study. J. Basic Clin. Physiol. Pharmacol. 2017, 28, 133–141. [Google Scholar] [CrossRef]
  23. O’Hare, C.; O’Sullivan, V.; Flood, S.; Kenny, R.A. Seasonal and meteorological associations with depressive symptoms in older adults: A geo-epidemiological study. J. Affect. Disord. 2016, 191, 172–179. [Google Scholar] [CrossRef] [PubMed]
  24. Bullock, B.; Murray, G.; Meyer, D. Highs and lows, ups and downs: Meteorology and mood in bipolar disorder. PLoS ONE 2017, 12, e0173431. [Google Scholar] [CrossRef] [PubMed]
  25. Vergés, J.; Montell, E.; Tomàs, E.; Cumelles, G.; Castañeda, G.; Marti, N.; Möller, I. Weather conditions can influence rheumatic diseases. Proc. West. Pharmacol. Soc. 2004, 47, 134–136. [Google Scholar] [PubMed]
  26. Strusberg, I.; Mendelberg, R.C.; Serra, A.H.; Strusberg, A.M. Influence of weather conditions on rheumatic pain. J. Rheumatol. 2002, 29, 335–338. [Google Scholar]
  27. Macfarlane, T.V.; McBeth, J.; Jones, G.T.; Nicholl, B.; Macfarlane, G.J. Whether the weather influences pain? Results from the EpiFunD study in North West England. Rheumatology 2010, 49, 1513–1520. [Google Scholar] [CrossRef] [Green Version]
  28. Edefonti, V.C.; Bravi, F.; Cioffi, I.; Capuozzo, R.; Ammendola, L.; Abate, G.; DeCarli, A.; Ferraroni, M.; Farella, M.; Michelotti, A. Chronic pain and weather conditions in patients suffering from temporomandibular disorders: A pilot study. Community Dent. Oral Epidemiol. 2012, 40, 56–64. [Google Scholar] [CrossRef]
  29. Kloss-Brandstätter, A.; Hächl, O.; Leitgeb, P.C.; Buchner, A.; Coassin, S.; Rasse, M.; Kronenberg, F.; Kloss, F.R. Epidemiologic evidence of barometric pressure changes inducing increased reporting of oral pain. Eur. J. Pain. 2011, 15, 844–880. [Google Scholar] [CrossRef]
  30. Takeuchi, N.; Ekuni, D.; Tomofuji, T.; Morita, M. Relationship between Acute Phase of Chronic Periodontitis and Meteorological Factors in the Maintenance Phase of Periodontal Treatment: A Pilot Study. Int. J. Environ. Res. Public Health 2015, 12, 9119–9130. [Google Scholar] [CrossRef]
  31. Oberg, A.L.; Ferguson, J.A.; McIntyre, L.M.; Horner, R.D. Incidence of stroke and season of the year: Evidence of an association. Am. J. Epidemiol. 2000, 152, 558–564. [Google Scholar] [CrossRef]
  32. Renvert, S.; Persson, G.R. Supportive periodontal therapy. Periodontol 2000 2004, 36, 179–195. [Google Scholar] [CrossRef] [PubMed]
  33. Armitage, G.C. Development of a Classification System for Periodontal Diseases and Conditions. Ann. Periodontol. 1999, 4, 1–6. [Google Scholar] [CrossRef] [PubMed]
  34. Tomita, S.; Kasai, S.; Imamura, K.; Ihara, Y.; Kita, D.; Ota, K.; Sekino, J.; Nakagawa, T.; Saito, A. Changes in antimicrobial susceptibility profile and prevalence of quinolone low-sensitive strains in subgingival plaque from acute periodontal lesions after systemic administration of sitafloxacin. Microb. Pathog. 2015, 79, 41–46. [Google Scholar] [CrossRef] [PubMed]
  35. McWilliams, S.; Kinsella, A.; O’Callaghan, E. The effects of daily weather variables on psychosis admissions to psychiatric hospitals. Int. J. Biometeorol. 2013, 57, 497–508. [Google Scholar] [CrossRef] [PubMed]
  36. Japan Meteorological Agency. Available online: https://www.jma.go.jp/jma/index.html (accessed on 25 July 2019).
  37. Abraham, B.; Ledolter, J. Statistical Methods for Forecasting; Wiley: New York, NY, USA, 1983; pp. 225–229, 336–355. [Google Scholar]
  38. Kitano, Y.; Yamada, T.J. The relationship between explosive cyclon through northern japan and pacific blocking. Jpn. J. Civ. Eng. 2016, 72, 121–126. [Google Scholar]
  39. Sato, J. Whether change and pain. Jpn. J. Spinal Surg. 2015, 29, 153–156. [Google Scholar] [CrossRef]
  40. Sato, J. Possible mechanism of weather related pain. Jpn. J. Biometeor. 2003, 40, 219–224. [Google Scholar]
  41. Sato, J.; Takanari, K.; Omura, S.; Mizumura, K. Effects of lowering barometric pressure on guarding behavior, heart rate and blood pressure in a rat model of neuropathic pain. Neurosci. Lett. 2001, 299, 17–20. [Google Scholar] [CrossRef]
  42. Jentsch, H.F.R.; März, D.; Krüger, M. The effects of stress hormones on growth of selected periodontitis related bacteria. Anaerobe 2013, 24, 49–54. [Google Scholar] [CrossRef]
  43. Hodges, F.R. Barodontalgia at 12,000 feet. J. Am. Dent. Assoc. 1978, 97, 66–68. [Google Scholar] [CrossRef]
  44. Fledelius, H.C. High atmospheric pressure and myopic shift in caisson workers. Lancet 2003, 361, 362. [Google Scholar] [CrossRef]
  45. Muhm, J.M.; Rock, P.B.; McMullin, D.L.; Jones, S.P.; Lu, I.; Eilers, K.D.; Space, D.R.; McMullen, A. Effect of Aircraft-Cabin Altitude on Passenger Discomfort. N. Engl. J. Med. 2007, 357, 18–27. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Doherty, M.J.; Youn, C.E.; Haltiner, A.M.; Watson, N.F. Do Weather-Related Ambient Atmospheric-Pressure Changes Influence Sleep Disordered Breathing? J. Clin. Sleep Med. 2010, 6, 152–156. [Google Scholar] [PubMed]
  47. Brown, H.K.; Simpson, J.A.; Murchison, J.T.; Simpson, A.J. The influence of meteorological variables on the development of deep venous thrombosis. Thromb. Haemost. 2009, 102, 676–682. [Google Scholar] [CrossRef] [PubMed]
  48. Zadik, Y. Barodontalgia. J. Endod. 2009, 35, 481–485. [Google Scholar] [CrossRef] [PubMed]
  49. Schneider, A.; Panagiotakos, D.; Picciotto, S.; Katsouyanni, K.; Löwel, H.; Jacquemin, B.; Lanki, T.; Stafoggia, M.; Bellander, T.; Koenig, W.; et al. Air Temperature and Inflammatory Responses in Myocardial Infarction Survivors. Epidemiology 2008, 19, 391–400. [Google Scholar] [CrossRef]
  50. Schäuble, C.L.; Hampel, R.; Breitner, S.; Ruckerl, R.; Phipps, R.; Diaz-Sanchez, D.; Devlin, R.B.; Carter, J.D.; Soukup, J.; Silbajoris, R.; et al. Short-term effects of air temperature on blood markers of coagulation and inflammation in potentially susceptible individuals. Occup. Environ. Med. 2012, 69, 670–678. [Google Scholar] [CrossRef]
  51. D’Amato, G.; Holgate, S.T.; Pawankar, R.; Ledford, D.K.; Cecchi, L.; Al-Ahmad, M.; Al-Enezi, F.; Al-Muhsen, S.; Ansotegui, I.; Baena-Cagnani, C.E.; et al. Meteorological conditions, climate change, new emerging factors, and asthma and related allergic disorders. A statement of the World Allergy Organization. World Allergy Organ. J. 2015, 8, 1–52. [Google Scholar] [CrossRef]
  52. Proud, D.; Bailey, G.; Naclerio, R.; Reynolds, C.; Cruz, A.; Eggleston, P.; Lichtenstein, L.; Togias, A. Tryptase and histamine as markers to evaluate mast cell activation during the responses to nasal challenge with allergen, cold, dry air, and hyperosmolar solutions. J. Allergy Clin. Immunol. 1992, 89, 1098–1110. [Google Scholar] [CrossRef]
  53. Tseng, C.M.; Chen, Y.T.; Ou, S.M.; Hsiao, Y.H.; Li, S.Y.; Wang, S.J.; Yang, A.C.; Chen, T.J.; Perng, D.W. The Effect of Cold Temperature on Increased Exacerbation of Chronic Obstructive Pulmonary Disease: A Nationwide Study. PLoS ONE 2013, 8, e57066. [Google Scholar] [CrossRef]
  54. Falagas, M.E.; Theocharis, G.; Spanos, A.; Vlara, L.A.; Issaris, E.A.; Panos, G.; Peppas, G. Effect of meteorological variables on the incidence of respiratory tract infections. Respir. Med. 2008, 102, 733–737. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  55. Ko, F.W.; Chan, K.P.; Hui, D.S.; Goddard, J.R.; Shaw, J.G.; Reid, D.W.; Yang, I.A. Acute exacerbation of COPD. Respirology 2016, 21, 1152–1165. [Google Scholar] [CrossRef] [PubMed]
  56. Zhang, Y.; Peng, L.; Kan, H.; Xu, J.; Chen, R.; Liu, Y.; Wang, W. Effects of Meteorological Factors on Daily Hospital Admissions for Asthma in Adults: A Time-Series Analysis. PLoS ONE 2014, 9, e102475. [Google Scholar] [CrossRef] [PubMed]
  57. Xu, Z.; Huang, C.; Hu, W.; Turner, L.R.; Su, H.; Tong, S. Extreme temperatures and emergency department admissions for childhood asthma in Brisbane, Australia. Occup. Environ. Med. 2013, 70, 730–735. [Google Scholar] [CrossRef] [PubMed]
  58. Herrera, D.; Alonso, B.; de Arriba, L.; Santa Cruz, I.; Serrano, C.; Sanz, M. Acute periodontal lesions. Periodontology 2000 2014, 65, 149–177. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Zhou, Q.; Amar, S. Identification of Proteins Differentially Expressed in Human Monocytes Exposed to Porphyromonas gingivalis and Its Purified Components by High-Throughput Immunoblotting. Infect. Immun. 2006, 74, 1204–1214. [Google Scholar] [CrossRef]
  60. Gokyu, M.; Kobayashi, H.; Nanbara, H.; Sudo, T.; Ikeda, Y.; Suda, T.; Izumi, Y. Thrombospondin-1 Production Is Enhanced by Porphyromonas gingivalis Lipopolysaccharide in THP-1 Cells. PLoS ONE 2014, 9, e115107. [Google Scholar] [CrossRef]
  61. Barksby, H.E.; Nile, C.J.; Jaedicke, K.M.; Taylor, J.J.; Preshaw, P.M. Differential expression of immunoregulatory genes in monocytes in response to Porphyromonas gingivalis and Escherichia coli lipopolysaccharide. Clin. Exp. Immunol. 2009, 156, 479–487. [Google Scholar] [CrossRef]
  62. Thurnheer, T.; Belibasakis, G.N.; Bostanci, N. Colonisation of gingival epithelia by subgingival biofilms in vitro: Role of “red complex” bacteria. Arch. Oral Boil. 2014, 59, 977–986. [Google Scholar] [CrossRef]
  63. Ahl, D.R.; Hilgeman, J.L.; Snyder, J.D. Periodontal emergencies. Dent. Clin. N. Am. 1986, 30, 459–472. [Google Scholar]
  64. Lewis, A.M.; Meechan, C.; Macfarlane, T.W.; Lamey, P.J.; Kay, E. Presentation and antimicrobial treatment of acute orofacial infections in general dental practice. Br. Dent. J. 1989, 166, 41–45. [Google Scholar] [CrossRef] [PubMed]
  65. Gray, J.L.; Flanary, D.B.; Newell, D.H. The prevalence of periodontal abscess. J. Indiana Dent. Assoc. 1994, 73, 18–23. [Google Scholar] [PubMed]
  66. Kaldahl, W.B.; Kalkwarf, K.L.; Patil, K.D.; Molvar, M.P.; Dyer, J.K. Long-Term Evaluation of Periodontal Therapy: I. Response to 4 Therapeutic Modalities. J. Periodontol. 1996, 67, 93–102. [Google Scholar] [CrossRef] [PubMed]
  67. McLeod, D.E.; Lainson, P.A.; Spivey, J.D. Tooth Loss Due to Periodontal Abscess: A Retrospective Study. J. Periodontol. 1997, 68, 963–966. [Google Scholar] [CrossRef] [PubMed]
  68. Cervino, G.; Fiorillo, L.; Laino, L.; Herford, A.S.; Lauritano, F.; Giudice, G.L.; Fama, F.; Santoro, R.; Troiano, G.; Iannello, G.; et al. Oral Health Impact Profile in Celiac Patients: Analysis of Recent Findings in a Literature Review. Gastroenterol. Res. Pract. 2018. [Google Scholar] [CrossRef] [PubMed]
  69. Cervino, G.; Terranova, A.; Briguglio, F.; De Stefano, R.; Famà, F.; D’Amico, C.; Amoroso, G.; Marino, S.; Gorassini, F.; Mastroieni, R.; et al. Diabetes: Oral Health Related Quality of Life and Oral Alterations. BioMed Res. Int. 2019, 2019, 1–14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Fiorillo, L. Chlorhexidine Gel Use in the Oral District: A Systematic Review. Gels 2019, 5, 31. [Google Scholar] [CrossRef]
Ijerph 16 03070 g001 550
Figure 1. Monthly average ratio of the incidence of the acute symptom of chronic periodontal disease with unidentified cause.
Figure 1. Monthly average ratio of the incidence of the acute symptom of chronic periodontal disease with unidentified cause.
Ijerph 16 03070 g001
Ijerph 16 03070 g002 550
Figure 2. Evaluation of the two cut-off values of the maximum hourly decrease in barometric pressure to predict the incidence of the acute symptom of chronic periodontal disease. * Chi-squared test.
Figure 2. Evaluation of the two cut-off values of the maximum hourly decrease in barometric pressure to predict the incidence of the acute symptom of chronic periodontal disease. * Chi-squared test.
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Ijerph 16 03070 g003 550
Figure 3. Evaluation of the two cut-off values of the mean daily temperature to predict the incidence of the acute symptom of chronic periodontal disease. * Chi-squared test.
Figure 3. Evaluation of the two cut-off values of the mean daily temperature to predict the incidence of the acute symptom of chronic periodontal disease. * Chi-squared test.
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Table
Table 1. Characteristics of the study population.
Table 1. Characteristics of the study population.
Age (Years)MaleFemaleTotal
Number of Patients Who Had Received Supportive Periodontal Therapy
20–29198327525
30–392949321226
40–4989721703067
50–59162348566479
60–69465711,16015,817
70–79468510,04714,732
≥80234836656013
Total14,70233,15747,859
Number of Patients with Acute Symptom of Chronic Periodontal Disease with Unidentified Cause
20–29123
30–39145
40–4991625
50–59192645
60–6946103149
70–7962116178
≥80163753
Total154304458
Table
Table 2. Climate predictors of the acute symptom of chronic periodontal disease with unidentified cause.
Table 2. Climate predictors of the acute symptom of chronic periodontal disease with unidentified cause.
ParameterMean ± SDLag Time arp Value *
Wind speed (m/s)
Mean daily wind speed3.0 ± 1.2 Omitted
Maximum daily wind speed6.6 ± 2.5 Omitted
Minimum daily wind speed0.6 ± 0.6 Omitted
Barometric Pressure (hPa)
Mean daily barometric pressure1013.5 ± 7.030.2420.896
Maximum daily barometric pressure1016.3 ± 7.0 Omitted
Minimum daily barometric pressure1010.7 ± 7.230.2600.884
Daily range of barometric pressure5.5 ± 3.3 Omitted
Maximum hourly increase in barometric pressure0.8 ± 0.4 Omitted
Maximum hourly decrease in barometric pressure1.0 ± 0.420.0430.123
Total hours of sunlight (h)13.7 ± 9.6 Omitted
Total daily rainfall (mm)3.5 ± 10.0 Omitted
Temperature (°C)
Mean daily temperature16.3 ± 8.610.0090.027
Maximum daily temperature20.7 ± 8.8 Omitted
Minimum daily temperature12.3 ± 8.9 Omitted
Daily range of temperature8.4 ± 2.9 Omitted
Maximum hourly increase in temperature2.1 ± 0.8 Omitted
Maximum hourly decrease in temperature1.5 ± 0.7 Omitted
Humidity (%)
Mean daily humidity67.0 ± 11.4 Omitted
Maximum daily humidity85.5 ± 8.7 Omitted
Minimum daily humidity46.1 ± 14.5 Omitted
Daily humidity range39.4 ± 11.5 Omitted
a Represents the delay necessary to observe the effect (in days). * ARIMA model.

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MDPI and ACS Style

Saho, H.; Takeuchi, N.; Ekuni, D.; Morita, M. Incidence of the Acute Symptom of Chronic Periodontal Disease in Patients Undergoing Supportive Periodontal Therapy: A 5-Year Study Evaluating Climate Variables. Int. J. Environ. Res. Public Health 2019, 16, 3070. https://doi.org/10.3390/ijerph16173070

AMA Style

Saho H, Takeuchi N, Ekuni D, Morita M. Incidence of the Acute Symptom of Chronic Periodontal Disease in Patients Undergoing Supportive Periodontal Therapy: A 5-Year Study Evaluating Climate Variables. International Journal of Environmental Research and Public Health. 2019; 16(17):3070. https://doi.org/10.3390/ijerph16173070

Chicago/Turabian Style

Saho, Hikari, Noriko Takeuchi, Daisuke Ekuni, and Manabu Morita. 2019. "Incidence of the Acute Symptom of Chronic Periodontal Disease in Patients Undergoing Supportive Periodontal Therapy: A 5-Year Study Evaluating Climate Variables" International Journal of Environmental Research and Public Health 16, no. 17: 3070. https://doi.org/10.3390/ijerph16173070

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