Epidemiology and variables involved in dental abscess: survey of dental emergency unit in Trieste

Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself. Subjects and Methods Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects we...

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Published inOral diseases Vol. 20; no. 5; pp. 499 - 504
Main Authors Ottaviani, G, Costantinides, F, Perinetti, G, Luzzati, R, Contardo, L, Visintini, E, Tirelli, G, Di Lenarda, R, Gobbo, M, Biasotto, M
Format Journal Article
LanguageEnglish
Published Denmark Blackwell Publishing Ltd 01.07.2014
Wiley Subscription Services, Inc
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Online AccessGet full text
ISSN1354-523X
1601-0825
1601-0825
DOI10.1111/odi.12164

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Abstract Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself. Subjects and Methods Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess. Results Variables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time. Conclusions The knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost–benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing.
AbstractList The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself. Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess. Variables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time. The knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost-benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing.
Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself. Subjects and Methods Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess. Results Variables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time. Conclusions The knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost-benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing. [PUBLICATION ABSTRACT]
Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself. Subjects and Methods Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess. Results Variables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time. Conclusions The knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost–benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing.
The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself.OBJECTIVESThe objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing process itself.Among a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess.SUBJECTS AND METHODSAmong a sample of over 24 000 patients visited at the emergency dental unit, 688 subjects were diagnosed with dental abscess and enrolled in the study. Case histories of all patients were collected to investigate the clinical course and healing time of dental abscess according to anamnestic and diagnostic data and therapeutic management. A multiple logistic regression model was performed to evaluate the association of each variable with the healing time required for dental abscess.Variables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time.RESULTSVariables associated with increased healing time were spring seasonality at admission, pyretic state, trismus, involvement of multiple anatomic spaces, and spontaneous drainage. Moreover, administration of some, but not all, classes of antibiotics was also associated with an increased healing time.The knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost-benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing.CONCLUSIONSThe knowledge of variables involved in healing time for dental abscess is crucial in the optimization of managing such infections in terms of cost-benefit ratio. This would represent a valuable way to ensure a shortened and more effective healing.
Author Tirelli, G
Perinetti, G
Luzzati, R
Di Lenarda, R
Visintini, E
Contardo, L
Biasotto, M
Gobbo, M
Ottaviani, G
Costantinides, F
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  surname: Biasotto
  fullname: Biasotto, M
  email: m.biasotto@fmc.units.it
  organization: Department of Dental Science, University of Trieste, Trieste, Italy
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References_xml – reference: Kuriyama T, Absi EG, Williams DW, Lewis MA (2005). An outcome audit of the treatment of acute dentoalveolar infection: impact of penicillin resistance. Br Dent J 198: 759-763.
– reference: Keller CO, Feifel H, Bucher K, Reineke T, Riediger D (1998). Correlation of odontogenic soft tissue infection and thermal effects with special reference to temperature sense. Statistical analysis of 2.111 patients. Mund Kiefer Gesichtschir 2: 261-265.
– reference: Meningaud JP, Roudot-Thoraval F, Bertrand JC, Guilbert F (1998). Do temperature and atmospheric pressure affect the incidence of serious odontogenic infection? Oral Surg Oral Med Oral Pathol Oral Radiol Endod 85: 272-275.
– reference: Khemaleelakul S, Baumgartner JC, Pruksakorn S (2002). Identification of bacteria in acute endodontic infections and their antimicrobial susceptibility. Oral Surg Oral Med Oral Radiol Oral Pathol Endod 94: 746-755.
– reference: Storoe W, Haug RH, Lillich TT (2001). The changing face of odontogenic infections. J Oral Maxillofac Surg 59: 739-748.
– reference: Palmer NO, Martin MV, Pealing R, Ireland RS (2000). An analysis of antibiotic prescriptions from general dental practitioners in England. J Antimicrob Chemother 46: 1033-1035.
– reference: Chavez de Paz LE (2007). Redefining the persistent infection in root canals: possible role of biofilm communities. J Endod 33: 652-662.
– reference: Biasotto M, Pellis T, Cadenaro M, Bevilacqua L, Berlot G, Di Lenarda R (2004). Odontogenic infections and descending necrotising mediastinitis: case report and review of the literature. Int Dent J 54: 97-102.
– reference: Brescó-Salinas M, Costa-Riu N, Berini-Aytés L, Gay-Escoda C (2006). Antibiotic susceptibility of the bacteria causing odontogenic infections. Med Oral Patol Oral Cir Bucal 11: E70-E75.
– reference: Kuriyama T, Karasawa T, Williams DW, Nakagawa K, Yamamoto E (2006). An increased prevalence of {beta}-lactamase-positive isolates in Japanese patients with dentoalveolar infection. J Antimicrob Chemother 58: 708-709.
– reference: Ellison SJ (2011). An outcome audit of three-day antimicrobial prescribing for the acute dentoalveolar abscess. Br Dent J 211: 591-594.
– reference: Davis EE, Deinard AS, Maïga EW (2010). Doctor, my tooth hurts: the costs of incomplete dental care in the emergency room. J Public Health Dent 70: 205-210.
– reference: Ellison SJ (2009). The role of phenoxymethylpenicillin, amoxicillin, metronidazole and clindamycin in the management of acute dentoalveolar abscesses - a review. Br Dent J 206: 357-362.
– reference: Biasotto M, Chiandussi S, Costantinides F, Di Lenarda R (2009). Descending necrotizing mediastinitis of odontogenic origin. Recent Pat Antiinfect Drug Discov 4: 143-150.
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Snippet Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in...
The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in the healing...
Objectives The objective of this epidemiologic study was to estimate the healing time of acute dental abscesses and to evaluate the main variables involved in...
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SubjectTerms antibiotics
Data Collection
dental abscess
Dental care
Emergencies
Emergency medical care
Epidemiology
Female
Humans
Infections
Italy - epidemiology
Male
Middle Aged
Periapical Abscess - epidemiology
Periapical Abscess - physiopathology
Periapical Abscess - therapy
public health
Wound healing
Title Epidemiology and variables involved in dental abscess: survey of dental emergency unit in Trieste
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https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fodi.12164
https://www.ncbi.nlm.nih.gov/pubmed/23879656
https://www.proquest.com/docview/1532898441
https://www.proquest.com/docview/1534100250
Volume 20
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