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Ermolenko KD, Potapova TV, Silav KV, Zhdanov KV, Lioznov DA, Gusev DA. [Prediction of the course of antibiotic-associated diarrhea caused by Clostridioides difficile based on clinical and laboratory characteristics of the disease]. TERAPEVT ARKH 2024; 96:1042-1048. [PMID: 39731764 DOI: 10.26442/00403660.2024.11.203040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2024] [Accepted: 10/19/2024] [Indexed: 12/30/2024]
Abstract
BACKGROUND The most severe complications of antibiotic use are clostridial infection (CDI) and pseudomembranous colitis (PMC). There is a need for further study of these conditions and identification of their triggers. AIM To identify risk factors for severe forms of antibiotic-associated diarrhea caused by Clostridioides difficile. MATERIALS AND METHODS A clinical and laboratory examination of 440 patients with CDI who were treated at Botkin Clinical Infectious Diseases Hospital was conducted. CDI was confirmed by detection of toxins A and B of C. difficile in feces using enzyme-linked immunosorbent assay and immunochromatography. Metronidazole (2 g/day, in patients without comorbid pathology) and vancomycin (0.5-2 g/day) were used as a starting drug for up to 14 days. Statistical processing of the obtained data was performed using the Statistica for Windows, v.10 (StatSoft, USA) program. RESULTS CDI was confirmed by enzyme-linked immunosorbent assay in 202 (45.91%) patients, immunochromatography - in 149 (33.86%), endoscopically - in 203 (46.14%). CDI was most frequently recorded in 2 age groups of patients: 18-30 years old - in 137 (31.14%); over 60 years old - in 205 (46.59%). CDI was characterized by a combination of colitic and intoxication syndromes. In 43 (9.77%) patients the disease resulted in death. The diagnosis of PMС was established in 61 (13.86%) people. The risks of developing PMC when prescribing antibacterial drugs decreased in the following order: fluoroquinolones, cephalosporins, macrolides, penicillins, nitrofurans and chloramphenicol. Probiotic drugs reduced the risk of developing PMC (relative risk 0.5 [0.3; 0.7]; p=0.002). CONCLUSION PMC was characterized by a combination of diarrhea, intoxication and abdominal pain. The formation of PMC was preceded by courses of antibacterial drugs of the fluoroquinolone and cephalosporin groups, eradication therapy for Helicobacter infection, the use of high doses of glucocorticosteroids, as well as intestinal superinfection in patients with previous episodes of CDI.
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Affiliation(s)
- K D Ermolenko
- Pediatric Research and Clinical Center for Infectious Diseases
- Saint Petersburg State University
| | - T V Potapova
- Pavlov First Saint Petersburg State Medical University
- Botkin Clinical Infectious Diseases Hospital
| | - K V Silav
- Pediatric Research and Clinical Center for Infectious Diseases
- Botkin Clinical Infectious Diseases Hospital
| | - K V Zhdanov
- Pediatric Research and Clinical Center for Infectious Diseases
- Saint Petersburg State University
| | - D A Lioznov
- Pavlov First Saint Petersburg State Medical University
- Smorodintsev Research Institute of Influenza
| | - D A Gusev
- Botkin Clinical Infectious Diseases Hospital
- Almazov National Medical Research Centre
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Lin Y, Wang X, Zhang K, Wang L, Zhang L, Yang J. Trajectories of acute gastrointestinal injury grade in critically Ill children. BMC Pediatr 2024; 24:470. [PMID: 39044193 PMCID: PMC11265350 DOI: 10.1186/s12887-024-04947-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Accepted: 07/15/2024] [Indexed: 07/25/2024] Open
Abstract
OBJECTIVE To investigate the characteristics of different Acute Gastrointestinal Injury (AGI) grading trajectories and examine their impact on prognosis in the Pediatric Intensive Care Unit (PICU). METHODS This retrospective cohort study was conducted at a large children's hospital in China. The children admitted to the PICU were included. AGI grade was assessed every other day during the initial nine days following PICU admission. RESULTS A total of 642 children were included, of which 364 children (56.7%) exhibited varying degrees of gastrointestinal dysfunction (AGI grade ≥ 2). Based on the patterns of AGI grading over time, six groups were identified: low-stable group, low-fluctuating group, medium-decreasing group, medium-increasing group, high-decreasing group, high-persistent group. The high-persistent group accounted for approximately 90% of all recorded deaths. Compared to low-stable group, both the medium-increasing and high-persistent groups exhibited positive correlations with length of stay in PICU (PICU LOS) and length of stay (LOS). Compared to low-stable group, the five groups exhibited a negative correlation with the percentage of energy received by enteral nutrition (EN), as well as the protein received by EN. CONCLUSION This study identified six distinct trajectory groups of AGI grade in critically ill children. The pattern of AGI grade trajectories over time were associated with EN delivery proportions and clinical outcomes.
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Affiliation(s)
- Ying Lin
- Department of Nutrition, Tianjin Children's Hospital, Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China
| | - Xiaomin Wang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, China
| | - Kai Zhang
- Department of Nutrition, Tianjin Children's Hospital, Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China
| | - Lijing Wang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, China
| | - Liping Zhang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital, Tianjin University Children's Hospital, Tianjin, China
| | - Junhong Yang
- Department of Nutrition, Tianjin Children's Hospital, Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China.
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Alves J, Prendki V, Chedid M, Yahav D, Bosetti D, Rello J. Challenges of antimicrobial stewardship among older adults. Eur J Intern Med 2024; 124:5-13. [PMID: 38360513 DOI: 10.1016/j.ejim.2024.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 01/06/2024] [Accepted: 01/15/2024] [Indexed: 02/17/2024]
Abstract
Older adults hospitalized in internal medicine wards or long-term care facilities (LTCF) are progressively increasing. Older adults with multimorbidity are more susceptible to infections, as well as to more vulnerable to adverse effects (and interactions) of antibiotics, resulting in a need for effective and safer strategies for antimicrobial stewardship (ASM), both in hospitalization wards and long-term care facilities. Studies on antimicrobial stewardship in older patients are scarce and guidelines are required. Given the peculiarities of the optimization of antimicrobial prescription in individual older adults for common infections, tactics to overcome barriers need an update. The use of rapid diagnosis tests, biomarkers, de-escalation and switching from intravenous to oral/subcutaneous therapy strategies are examples of successful AMS interventions. AMS interventions are associated with reduced side effects, lower mortality, shorter hospital stays, and reduced costs. The proposed AMS framework in LTCF should focus on five domains: strategic vision, team, interventions, patient-centred care and awareness. Internists can partner with geriatrists, pharmacists and infectious disease specialists to address barriers and to improve patient care.
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Affiliation(s)
- Joana Alves
- Infectious Diseases Specialist, Head of Local Unit of the Program for Prevention and Control of Infection and Antimicrobial Resistance, Hospital de Braga, Portugal.
| | - Virginie Prendki
- Department of Internal Medicine for the Aged, Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland; Department of Infectious Disease, Geneva University Hospital, Switzerland
| | - Marie Chedid
- Department of Infectious Disease, Geneva University Hospital, Switzerland
| | - Dafna Yahav
- Infectious Diseases Unit, Sheba Medical Centre, Ramat Gan, Israel
| | - Davide Bosetti
- Department of Infectious Disease, Geneva University Hospital, Switzerland; Infection Control Programme and WHO Collaborating Centre for Infection Prevention and Control and Antimicrobial Resistance, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland
| | - Jordi Rello
- Medicine Department, Universitat Internacional de Catalunya, Spain; Clinical Research Pneumonia and Sepsis (CRIPS) Research Group-Vall d'Hebrón Institute Research (VHIR), Barcelona, Spain; Formation, Recherche, Evaluation (FOREVA), CHU Nîmes, Nîmes, France
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Lin Y, Wang X, Li L, Gou Y, Zhang L, Wang L, Yang J. Nomogram to predict feeding intolerance in critically ill children. Eur J Pediatr 2023; 182:5293-5302. [PMID: 37723295 DOI: 10.1007/s00431-023-05205-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 08/28/2023] [Accepted: 09/13/2023] [Indexed: 09/20/2023]
Abstract
Feed intolerance (FI) is significantly associated with poor prognosis in critically ill patients. This study aimed to understand the characteristics of children with FI and identify the factors predicting FI in critically ill children. This retrospective cohort study was conducted between January 2017 and June 2022 in the Pediatric Intensive Care Unit of a specialized children's hospital. Eighteen factors, including age, body mass index for age z-score (BAZ) < -2, paediatric index of mortality (PIM)3 score, Glasgow coma scale score, mechanical ventilation (MV), enteral nutrition delay, vasoactive drugs, sedatives, sepsis, heart disease, neurological disease, hypokalemia, arterial PH < 7.35, arterial partial pressure of oxygen (PaO2), blood glucose, hemoglobin, total protein, and albumin, were retrieved to predict FI. The outcome was FI during PICU stay. During the study period, a total of 854 children were included, of which 215 children developed FI. Six predictors of FI were selected: PIM3 score, MV, sepsis, hypokalemia, albumin, and PaO2. Multivariate logistic regression analysis showed that higher PIM3 score, MV, sepsis, hypokalemia, and lower PaO2 were independent risk factors for FI, whereas higher albumin was an independent protective factor for FI. The C-index of the predictive nomogram of 0.943 was confirmed at internal validation to be 0.940, indicating a good predictive value of the model. Decision curve analysis shows good clinical applicability of the nomogram in predicting FI. Conclusion: The nomogram was verified to have a good prediction performance based on discrimination, calibration, and clinical decision analysis. What is Known: • Research has demonstrated that gastrointestinal (GI) dysfunction is not only a fundamental element of Multiple Organ Dysfunction Syndrome (MODS), but also the initiator of MODS. • Previous study has demonstrated a significant association between FI and poor prognosis in critically ill patients. What is New: • We excluded patients with primary gastrointestinal tract disease from our study, and we observed an incidence of FI of 25.2% in the Pediatric Intensive Care Unit (PICU). • Our study revealed that PIM3 score, MV, sepsis, hypokalemia, albumin, and PaO2 are significant predictors of FI.
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Affiliation(s)
- Ying Lin
- Department of Nutrition, Tianjin Children's Hospital /Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China.
| | - Xiaomin Wang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital /Tianjin University Children's Hospital, Tianjin, China
| | - Lingyan Li
- Department of Nutrition, Tianjin Children's Hospital /Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China
| | - Yun Gou
- Department of Nutrition, Tianjin Children's Hospital /Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China
| | - Liping Zhang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital /Tianjin University Children's Hospital, Tianjin, China
| | - Lijing Wang
- Pediatric Intensive Care Unit, Tianjin Children's Hospital /Tianjin University Children's Hospital, Tianjin, China
| | - Junhong Yang
- Department of Nutrition, Tianjin Children's Hospital /Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China
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Zhu Y, Ma G, Ren W, Hu Z, Zhou L, Zhang X, Zhao N, Zhang M, Yan L, Yu Q, Liu X, Chen J. Effect of oral probiotics on clinical efficacy and intestinal flora in elderly severe pneumonia patients. Medicine (Baltimore) 2023; 102:e36320. [PMID: 38050216 PMCID: PMC10695597 DOI: 10.1097/md.0000000000036320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/03/2023] [Indexed: 12/06/2023] Open
Abstract
Complex microbial ecosystems in both gastrointestinal and respiratory systems have been found to have a significant impact on human health. Growing evidence has demonstrated that intestinal dysbiosis can increase vulnerability to pulmonary infections. However, changes in the composition and activity of the intestinal flora after probiotic supplementation may alter the disease state of the host. The effects of probiotics on the improvement of diseases, such as severe pneumonia (SP), in intensive care units (ICUs) remain controversial. We retrospectively included 88 patients diagnosed with severe pneumonia between April 2021 and June 2022. The patients were divided into 2 groups: a probiotic group (n = 40) and a control group (n = 48). In addition, changes in CRP, PCT, WBC, IL-6, Clostridium difficile toxin, and PSI pneumonia scores were assessed. Changes in the gut microbiome of the patients were assessed using amplicon sequencing. Compared to the control group, a significant reduction in the incidence of length of hospital stay was observed in the probiotic group, but there were no significant differences in the mortality rate, duration of fever, diarrhea, and constipation. After probiotic treatment, CRP, PCT, WBC, and PSI score were significantly lower than before, and better clinical efficacy was achieved in the probiotic group for the duration of antibiotic therapy. Gut microbiota analysis revealed that the abundance of opportunistic pathogens (e.g., Massilia) increased remarkably at the genus level in the control group, and a significant increase in Erysipelotrichaceae_ge was observed after probiotic intervention. The control group showed an increase in opportunistic pathogens (Citrobacter, Massilia) during the antibiotic treatment. Probiotics interventions inhibit the growth of opportunistic pathogens. In addition, we found that the population of butyrate-producing bacteria (e.g., Ruminococcaceae UCG-005) increased following probiotic treatment.
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Affiliation(s)
| | - Guannan Ma
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
- Beijing D.A. Medical Laboratory, Beijing, China
| | - Wei Ren
- Aerospace Center Hospital, Beijing, China
| | - Zhenyu Hu
- Aerospace Center Hospital, Beijing, China
| | - Ling Zhou
- Aerospace Center Hospital, Beijing, China
| | - Xin Zhang
- Aerospace Center Hospital, Beijing, China
| | - Na Zhao
- Aerospace Center Hospital, Beijing, China
| | | | - Lei Yan
- Aerospace Center Hospital, Beijing, China
| | - Qian Yu
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
- Beijing D.A. Medical Laboratory, Beijing, China
| | - Xuetong Liu
- Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China
- Beijing D.A. Medical Laboratory, Beijing, China
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