1
|
Liao TI, Ho CY, Chin SC, Wang YC, Chan KC, Chen SL. Sequential Impact of Diabetes Mellitus on Deep Neck Infections: Comparison of the Clinical Characteristics of Patients with and without Diabetes Mellitus. Healthcare (Basel) 2024; 12:1383. [PMID: 39057526 PMCID: PMC11276557 DOI: 10.3390/healthcare12141383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 07/06/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Deep neck infections (DNIs) can compromise the airway and are associated with high morbidity and mortality rates. Diabetes mellitus (DM) is a metabolic disorder characterized by chronic hyperglycemia that is associated with several comorbidities. We compared the clinical characteristics of DNI patients with and without DM. METHODS This study recorded the relevant clinical variables of 383 patients with DNIs between November 2016 and September 2022; of those patients, 147 (38.38%) had DM. The clinical factors between DNI patients with and without DM were assessed. RESULTS Patients with DM were older (p < 0.001), had higher white blood cell counts (p = 0.029) and C-reactive protein levels (CRP, p < 0.001), had a greater number of deep neck spaces (p = 0.002) compared to patients without DM, and had longer hospital stays (p < 0.001). Klebsiella pneumoniae was cultured more frequently from patients with DM than those without DM (p = 0.002). A higher CRP level (OR = 1.0094, 95% CI: 1.0047-1.0142, p < 0.001) was a significant independent risk factor for DM patients with prolonged hospitalization. The lengths of hospital stays in patients with poorly controlled DM were longer than those with well-controlled DM (p = 0.027). CONCLUSIONS DNI disease severity and outcomes were worse in patients with DM than those without DM. Antibiotics effective against Klebsiella pneumoniae should be used for DNI patients with DM. DNI patients with DM and high CRP levels had more prolonged hospitalizations. Appropriate blood glucose control is essential for DNI patients with DM.
Collapse
Affiliation(s)
- Ting-I Liao
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (T.-I.L.); (C.-Y.H.); (S.-C.C.); (K.-C.C.)
| | - Chia-Ying Ho
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (T.-I.L.); (C.-Y.H.); (S.-C.C.); (K.-C.C.)
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| | - Shy-Chyi Chin
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (T.-I.L.); (C.-Y.H.); (S.-C.C.); (K.-C.C.)
- Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| | - Yu-Chien Wang
- Department of Otorhinolaryngology & Head and Neck Surgery, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan;
- Department of Otorhinolaryngology & Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| | - Kai-Chieh Chan
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (T.-I.L.); (C.-Y.H.); (S.-C.C.); (K.-C.C.)
- Department of Otorhinolaryngology & Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| | - Shih-Lung Chen
- School of Medicine, Chang Gung University, Taoyuan 33302, Taiwan; (T.-I.L.); (C.-Y.H.); (S.-C.C.); (K.-C.C.)
- Department of Otorhinolaryngology & Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan
| |
Collapse
|
2
|
Chen SL, Chin SC, Chan KC, Ho CY. A Machine Learning Approach to Assess Patients with Deep Neck Infection Progression to Descending Mediastinitis: Preliminary Results. Diagnostics (Basel) 2023; 13:2736. [PMID: 37685275 PMCID: PMC10486957 DOI: 10.3390/diagnostics13172736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 07/25/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND Deep neck infection (DNI) is a serious infectious disease, and descending mediastinitis is a fatal infection of the mediastinum. However, no study has applied artificial intelligence to assess progression to descending mediastinitis in DNI patients. Thus, we developed a model to assess the possible progression of DNI to descending mediastinitis. METHODS Between August 2017 and December 2022, 380 patients with DNI were enrolled; 75% of patients (n = 285) were assigned to the training group for validation, whereas the remaining 25% (n = 95) were assigned to the test group to determine the accuracy. The patients' clinical and computed tomography (CT) parameters were analyzed via the k-nearest neighbor method. The predicted and actual progression of DNI patients to descending mediastinitis were compared. RESULTS In the training and test groups, there was no statistical significance (all p > 0.05) noted at clinical variables (age, gender, chief complaint period, white blood cells, C-reactive protein, diabetes mellitus, and blood sugar), deep neck space (parapharyngeal, submandibular, retropharyngeal, and multiple spaces involved, ≥3), tracheostomy performance, imaging parameters (maximum diameter of abscess and nearest distance from abscess to level of sternum notch), or progression to mediastinitis. The model had a predictive accuracy of 82.11% (78/95 patients), with sensitivity and specificity of 41.67% and 87.95%, respectively. CONCLUSIONS Our model can assess the progression of DNI to descending mediastinitis depending on clinical and imaging parameters. It can be used to identify DNI patients who will benefit from prompt treatment.
Collapse
Affiliation(s)
- Shih-Lung Chen
- Department of Otorhinolaryngology & Head and Neck Surgery, Chang Gung Memorial Hospital, New Taipei City 333, Taiwan
- School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Shy-Chyi Chin
- School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, New Taipei City 333, Taiwan
| | - Kai-Chieh Chan
- Department of Otorhinolaryngology & Head and Neck Surgery, Chang Gung Memorial Hospital, New Taipei City 333, Taiwan
- School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
| | - Chia-Ying Ho
- School of Medicine, Chang Gung University, Taoyuan 333, Taiwan
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan
| |
Collapse
|
3
|
Hsiao FY, Ho CY, Chan KC, Wang YC, Chin SC, Chen SL. Assessment of the Elderly Adult Patients with Deep Neck Infection: A Retrospective Study. EAR, NOSE & THROAT JOURNAL 2023:1455613231177184. [PMID: 37278212 DOI: 10.1177/01455613231177184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
Background: Deep neck infection (DNI) is a potentially lethal infectious disease affecting middle-aged adults and can compromise the airway. There are limited data on the prognosis and outcomes of elderly (aged > 65 years) DNI patients, who tend to be immunocompromised. This study analyzed the clinical characteristics of elderly and adult (aged 18-65 years) DNI patients. Methods: Between November 2016 and November 2022, 398 patients with DNIs, including 113 elderly patients, were admitted to our hospital and enrolled in this study. The relevant clinical variables were investigated and compared. Results: The elderly DNI patients had longer hospital stays (P < .001), higher C-reactive protein levels (P = .021), higher blood sugar levels (P = .012), and a higher likelihood of diabetes mellitus (P = .025) than the adult patients. The higher blood sugar level is an independent risk factor for elderly (odds ratio = 1.005, 95% confidence intervals 1.002-1.008, P < .001). Moreover, the rates of intubation to protect the airway (P = .005) and surgical incision and drainage (I&D; P = .010) were higher in the elderly group. However, there were no group differences in pathogen distributions. Conclusion: The elderly DNI patients in this study had a more severe disease course, and poorer prognosis than the adult patients, as well as higher rates of intubation and I&D. However, the pathogen distributions did not differ significantly between the groups. Prompt intervention and treatment are important for elderly DNI patients.
Collapse
Affiliation(s)
- Fu-Yuan Hsiao
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Ying Ho
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Kai-Chieh Chan
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Yu-Chien Wang
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, New Taipei Municipal Tucheng Hospital, New Taipei City, Taiwan
| | - Shy-Chyi Chin
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Shih-Lung Chen
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
| |
Collapse
|
4
|
Ho CY, Chan KC, Wang YC, Chin SC, Chen SL. Assessment of Factors Associated With Long-Term Hospitalization in Patients With a Deep Neck Infection. EAR, NOSE & THROAT JOURNAL 2023:1455613231168478. [PMID: 37010020 DOI: 10.1177/01455613231168478] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023] Open
Abstract
BACKGROUND Deep neck infection (DNI) is a severe infectious disorder of deep neck spaces that can cause serious complications. Long-term hospitalization is when a patient spends more time in the hospital than originally expected for a disease. There are few studies assessing the risk factors associated with long-term hospitalization for a DNI. This study investigated the factors causing DNI patients to experience long-term hospitalization. METHODS Long-term hospitalization is defined as a length of hospital stay exceeding 28 days (> 4 weeks) in this research. A total of 362 subjects with a DNI between October 2017 and November 2022 were recruited. Among these patients, 20 required long-term hospitalization. The relevant clinical variables were assessed. RESULTS In a univariate analysis, C-reactive protein (odds ratio [OR] = 1.003, 95% CI: 1.000-1.007, P = .044), involvement of ≥3 deep neck spaces (OR = 2.836, 95% CI: 1.140-7.050, P = .024), and mediastinitis (OR = 8.102, 95% CI: 3.041-21.58, P < .001) were significant risk factors for long-term hospitalization in DNI patients. In a multivariate analysis, mediastinitis (OR = 6.018, 95% CI: 2.058-17.59, P = .001) was a significant independent risk factor for long-term hospitalization for a DNI. There were no significant differences in pathogens between the patients with and without long-term hospitalization (all P > .05). However, the rates of no growth of specific pathogens were significantly different between patients with and without long-term hospitalization, and those with long-term hospitalization had greater rates of growth of specific pathogens (P = .032). The rate of tracheostomy in patients with long-term hospitalization was higher than for those without (P < .001). Nevertheless, the rates of surgical incision and drainage between patients with and without long-term hospitalization did not achieve statistical significance (P = .069). CONCLUSIONS Deep neck infection (DNI) is a critical, life-threatening disease that could lead to long-term hospitalization. The higher CRP and involvement of ≥3 deep neck spaces were significant risk factors in univariate analysis, while concurrent mediastinitis was an independent risk factor associated with long-term hospitalization. We suggest intensive care and prompt airway protection for DNI patients with concurrent mediastinitis.
Collapse
Affiliation(s)
- Chia-Ying Ho
- Division of Chinese Internal Medicine, Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kai-Chieh Chan
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology & Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Yu-Chien Wang
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology & Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
- Department of Otorhinolaryngology & Head and Neck Surgery, New Taipei Municipal TuCheng Hospital, New Taipei City, Taiwan
| | - Shy-Chyi Chin
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Shih-Lung Chen
- School of Medicine, Chang Gung University, Taoyuan, Taiwan
- Department of Otorhinolaryngology & Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan
| |
Collapse
|
5
|
Deep Learning Artificial Intelligence to Predict the Need for Tracheostomy in Patients of Deep Neck Infection Based on Clinical and Computed Tomography Findings—Preliminary Data and a Pilot Study. Diagnostics (Basel) 2022; 12:diagnostics12081943. [PMID: 36010293 PMCID: PMC9406478 DOI: 10.3390/diagnostics12081943] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 08/08/2022] [Accepted: 08/10/2022] [Indexed: 12/02/2022] Open
Abstract
Background: Deep neck infection (DNI) can lead to airway obstruction. Rather than intubation, some patients need tracheostomy to secure the airway. However, no study has used deep learning (DL) artificial intelligence (AI) to predict the need for tracheostomy in DNI patients. Thus, the purpose of this study was to develop a DL framework to predict the need for tracheostomy in DNI patients. Methods: 392 patients with DNI were enrolled in this study between August 2016 and April 2022; 80% of the patients (n = 317) were randomly assigned to a training group for model validation, and the remaining 20% (n = 75) were assigned to the test group to determine model accuracy. The k-nearest neighbor method was applied to analyze the clinical and computed tomography (CT) data of the patients. The predictions of the model with regard to the need for tracheostomy were compared with actual decisions made by clinical experts. Results: No significant differences were observed in clinical or CT parameters between the training group and test groups. The DL model yielded a prediction accuracy of 78.66% (59/75 cases). The sensitivity and specificity values were 62.50% and 80.60%, respectively. Conclusions: We demonstrated a DL framework to predict the need for tracheostomy in DNI patients based on clinical and CT data. The model has potential for clinical application; in particular, it may assist less experienced clinicians to determine whether tracheostomy is necessary in cases of DNI.
Collapse
|