Smoking and Alcohol Consumption Are Associated With the Increased Risk of Peritonsillar Abscess

Kim, So Young; Lim, Hyoseob; Choi, Hyo Geun

doi:10.1002/lary.28510

Cited by 12 publications

(14 citation statements)

References 24 publications

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“…BI at discharge was classified as under 59 and over 60. Age, smoking status, and BI were classified according to previous studies (Hidaka et al 2021;Katano et al 2021;Kim et al 2020;Morishita et al 2020;Shah et al 1989). Discharge disposition was classified as home and facilities.…”

Section: A N U S C R I P Tmentioning

confidence: 99%

“…We also identified that female is a risk factor for readmission. Studies on sex differences in patients with heart failure have been conducted, but their results may not be consistent (Hoang- Kim et al 2020;López-Vilella et al 2016). At least in Japanese tertiary-care emergency hospitals, females may be at risk for readmission because the DPC database has high representativeness in the setting.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

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Risk Factors with 30-Day Readmission and the Impact of Length of Hospital Stay on It in Patients with Heart Failure: A Retrospective Observational Study Using a Japanese National Database

Miyazaki

Tarasawa

Fushimi

et al. 2023

Tohoku J. Exp. Med.

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Heart failure is a major disease, and its 30-day readmission, readmission within 30-day after discharge, negatively impacts patients and society. Thus, we need to stratify the risk and prevent readmission. We aimed to investigate risk factors associated with 30day readmission and examine the impact of length of hospital stay (LOS) on 30-day readmission. Using the Diagnosis-Procedure-Combination database from April 2018 to March 2021, we conducted multiple logistic regression to investigate risk factors with 30day readmission. Also, we conducted subgroup analysis in the short LOS group. To examine the association between LOS and 30-day readmission, we performed propensity score matching between the short and middle LOS groups. As a result, we categorized 10,283 patients and 169,842 patients into the readmission group and the no-readmission group. We identified the following factors as the risk of readmission: short LOS, female, smoking, older age, lower body mass index, lower barthel index, artificial ventilator, betablockers, thiazides, tolvaptan, loop diuretics, carperitides, class Ⅲ antiarrhythmic agents, myocardial infarction, diabetes, renal disease, atrial fibrillation, dilated cardiomyopathy, and discharge to home. As a subgroup analysis in the short LOS group, we revealed that the short LOS group risk factors differed from overall. After propensity score matching in the short LOS group and middle LOS group, 37,199 pairs were matched, and we revealed that shorter LOS increases the risk of readmission. These results demonstrated that shortened LOS increases 30-day readmission, and risk factors are unique to each LOS.We suggest stratifying the readmission risk and being careful with early discharge.

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Section: A N U S C R I P Tmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Risk Factors with 30-Day Readmission and the Impact of Length of Hospital Stay on It in Patients with Heart Failure: A Retrospective Observational Study Using a Japanese National Database

Miyazaki

Tarasawa

Fushimi

et al. 2023

Tohoku J. Exp. Med.

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“…From the 38.2 million inpatients in the DPC database over a total of 5 years (between April 2012 and March 2017), patients satisfying the following inclusion criteria according to surgical interventions encoded with original Japanese codes (17,18) were selected: 1) underwent incisional drainage for deep neck infection (Japanese code: K384-2) or retropharyngeal abscess (Japanese code: K387, corresponding to intra-pharyngeal drainage for DNI) and 2) underwent mediastinotomy (Japanese code: K502).…”

Section: Patient Selection and Characteristicsmentioning

confidence: 99%

“…According to the World Health Organization and previous reports using the DPC database (17,18), BMI was classi ed as underweight (< 18.5 kg/m 2 ), normal (18.5 ≤ to < 30 kg/m 2 ), and obese (≥ 30 kg/m 2 ). In addition to these groups, the 774 cases with missing values for calculation of BMI were categorized into the "missing" group.…”

Section: Patient Selection and Characteristicsmentioning

confidence: 99%

Identification of risk factors for mortality and delayed oral dietary intake in patients with open drainage due to deep neck infections: Nationwide study using a Japanese inpatient database

et al. 2021

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Backgrounds: Data on risk factors for deep neck infection (DNI) including descending necrotizing mediastinitis (DNM) have been limited. Using a nationwide database, the aim was to identify the factors related to patient death and delay in recovering oral intake. Methods: We retrospective reviewed a Japanese inpatient database between 2012 and 2017, and data of 4,949 patients with DNM and DNI were extracted. The main outcome was survival at discharge. In a subgroup analysis of the 4,791 patients with survival at discharge, the second outcome was delay in the interval between admission and full recovery of oral intake. In both of the setting, logistic regression analyses were conducted to determine the risk factors. Results: Regarding survival at discharge, logistic regression analysis showed that age (≥75 years), comorbid diabetes mellitus, sepsis, receiving mechanical ventilation, and duration of empirical antibiotic therapy were signi cantly associated with mortality [adjusted-odds ratios (ORs) (95% con dence intervals (CIs)] as follows: 5.57 (2.80-11.1), 2.47 (1.69-3.62), 3.32 (2.29-4.82), 3.96 (2.51-6.23), and 1.00 (1.00-1.02), respectively. In a subgroup analysis of the 4,791 patients with survival at discharge, logistic regression analysis showed the following factors to be signi cantly associated with delayed oral dietary intake (>9 days), as follows [adjusted OR (95% CIs)]: age ≥75 years 1.89 (1.48-2.41); body mass index (

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“…Third, we could not obtain bacterial culture results; thus, we were unable to discuss the type of bacteria that caused the infection and drug sensitivity. Finally, although Kim et al reported smoking and drinking are risk factors for PTA, our study could not evaluate the effects of smoking and drinking on PTA because NHIRD did not provide this information [33]. A study including the missing information should be conducted to further investigate the research topic.…”

Section: Discussionmentioning

confidence: 92%

High Risk of Peritonsillar Abscess in End-Stage Renal Disease Patients: A Nationwide Real-World Cohort Study

Chang

Liu

et al. 2021

IJERPH

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Background: Peritonsillar abscess (PTA) is an infectious emergency in the head and neck, and patients with end-stage renal disease (ESRD) have an immunocompromised status. However, no relevant research has focused on the ESRD–PTA relationship. This study explored PTA in ESRD patients and their prognosis. Methods: We identified 157,026 patients diagnosed as having ESRD over January 1997 to December 2013 from Taiwan’s National Health Insurance Research Database (NHIRD). Each patient with ESRD (hereafter, patients) was matched with one control without chronic kidney disease (CKD; hereafter, controls) by sex, age, urbanization level, and income. Next, PTA incidence until death or the end of 2013 was compared between the two groups, and the relative risk of PTA was analyzed using a multiple logistic regression model. Results: The patients had a significantly higher PTA incidence than did the controls (incidence rate ratio: 2.02, 95% confidence interval [CI]: 1.40–2.91, p < 0.001). The Kaplan–Meier analysis revealed that the patients had a higher cumulative incidence of PTA than did the controls (p < 0.001). In Cox regression analysis, the patients had nearly twofold higher PTA risk (adjusted hazard ratio [HR]: 1.98, 95% CI: 1.37–2.86, p < 0.001). The between-group differences in the PTA-related hospital stay length (8.1 ± 10.3 days in patients and 5.7 ± 4.6 days in controls, p = 0.09), consequent deep-neck infection complication (4.2% in patients and 6.3% in controls, p = 0.682), and mortality (0.0% in both groups) were nonsignificant. Conclusions: Although ESRD does not predict a poor prognosis of PTA, it is an independent PTA risk factor.

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Smoking and Alcohol Consumption Are Associated With the Increased Risk of Peritonsillar Abscess

Cited by 12 publications

References 24 publications

Risk Factors with 30-Day Readmission and the Impact of Length of Hospital Stay on It in Patients with Heart Failure: A Retrospective Observational Study Using a Japanese National Database

Risk Factors with 30-Day Readmission and the Impact of Length of Hospital Stay on It in Patients with Heart Failure: A Retrospective Observational Study Using a Japanese National Database

Identification of risk factors for mortality and delayed oral dietary intake in patients with open drainage due to deep neck infections: Nationwide study using a Japanese inpatient database

High Risk of Peritonsillar Abscess in End-Stage Renal Disease Patients: A Nationwide Real-World Cohort Study

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