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1.
IJID Reg ; 3: 44-53, 2022 Jun.
Article in English | MEDLINE | ID: mdl-35720143

ABSTRACT

Objective: To gain better insight into the extent of secondary bacterial and fungal infections in hospitalized patients in India, and to assess how these alter the course of coronavirus disease 2019 (COVID-19) so that control measures can be suggested. Methods: In this retrospective, multicentre study, the data of all patients who tested positive for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) on reverse transcriptase polymerase chain reaction (RT-PCR), admitted to hospital between March 2020 and July 2021, were accessed from the electronic health records of a network of 10 hospitals across five states in North India. Results: Of 19,852 patients testing positive for SARS-CoV-2 on RT-PCR and admitted to the study hospitals during the study period, 1940 (9.8%) patients developed secondary infections (SIs). Patients with SIs were, on average, 8 years older than patients without SIs (median age 62.6 vs 54.3 years; P<0.001). The risk of SIs was significantly (P<0.001) associated with age, severity of disease at admission, diabetes, admission to the intensive care unit (ICU), and ventilator use. The most common site of infection was urine (41.7%), followed by blood (30.8%) and sputum/bronchoalveolar lavage/endotracheal fluid (24.8%); the least common was pus/wound discharge (2.6%). Gram-negative bacilli (GNB) were the most common organisms (63.2%), followed by Gram-positive cocci (GPC) (19.6%) and fungi (17.3%). Most patients with SIs were on multiple antimicrobials. The most commonly used antibiotics against GNB were beta-lactam/beta-lactamase inhibitors (76.9%), carbapenems (57.7%), cephalosporins (53.9%), and antibiotics against carbapenem-resistant Enterobacteriaceae (47.1%). Empirical use of antibiotics against GPC was seen in 58.9% of patients with SIs, and empirical use of antifungals was observed in 56.9% of patients with SIs. The average length of hospital stay for patients with SIs was almost twice as long as that of patients without SIs (median 13 vs 7 days). Overall mortality among patients with SIs (40.3%) was more than eight times higher than that among patients without SIs (4.6%). Only 1.2% of patients with SIs with mild COVID-19 at admission died, compared with 17.5% of those with moderate COVID-19 at admission and 58.5% of those with severe COVID-19 at admission (P<0.001). The mortality rate was highest in patients with bloodstream infections (49.8%), followed by those with hospital-acquired pneumonia (47.9%), urinary tract infections (29.4%), and skin and soft tissue infections (29.4%). The mortality rate in patients with diabetes with SIs was 45.2%, compared with 34.3% in those without diabetes (P<0.001). Conclusions: SIs complicate the course of patients hospitalized with COVID-19. These patients tend to have a much longer hospital stay, a higher requirement for oxygen and ICU care, and a significantly higher mortality rate compared with those without SIs. The groups most vulnerable to SIs are patients with more severe COVID-19, elderly patients and patients with diabetes. Judicious empirical use of combination antimicrobials in these groups of vulnerable patients can save lives. It is desirable to have region- or country-specific guidelines for appropriate use of antibiotics and antifungals to prevent their overuse.

3.
Indian J Crit Care Med ; 18(5): 323-5, 2014 May.
Article in English | MEDLINE | ID: mdl-24914263

ABSTRACT

We report a case of a 65-year-old female diagnosed with sever dengue fever. She started showing recovery from dengue fever with medical management. On day 6 of admission, she had leukocytosis, altered mental sensorium, and hemoptysis. Chest tomography showed air space consolidation with multiple nodules in the left upper and middle lobe sputum and bronchoalveolar lavage cultures were positive for Aspergillus flavus. The patient showed improvement with voriconazole and therapy was continued for 6 weeks.

4.
Pharmacology ; 89(5-6): 339-47, 2012.
Article in English | MEDLINE | ID: mdl-22678147

ABSTRACT

BACKGROUND/AIMS: Rimonabant is a cannabinoid CB1 receptor antagonist. Other CB1 antagonists have biphasic effects on blood glucose levels following acute administration. We therefore tested the effects of rimonabant on glucose tolerance following acute administration. METHODS: We tested the effects of oral and intracerebroventricular administration of rimonabant on blood glucose and gastrointestinal transit in mice following oral and intravenous glucose challenge. RESULTS: We found a dose-dependent increase in blood glucose from oral doses of rimonabant of 3 mg/kg and above. WIN55,212-2 (3 mg/kg), a cannabinoid receptor agonist, did not influence blood glucose in the presence or absence of rimonabant. Rimonabant did not induce release of glucose from isolated rat hepatocytes or modify serum insulin concentration in mice. Intracerebroventricular administration of rimonabant caused increases in blood glucose and gastrointestinal transit, suggesting a central nervous system site of action. Increases in blood glucose by rimonabant were partially blocked by the dopamine receptor antagonist haloperidol and significantly blocked by the 5-hydroxytryptophan(5-HT) depleting agent p-CPA and the 5-HT 3 receptor antagonist ondansetron. CONCLUSIONS: Rimonabant causes dose-dependent increase in glucose profile upon glucose challenge partially mediated by the central nervous system control of gastrointestinal carbohydrate absorption through pathways that are modulated by both 5-HT and dopamine.


Subject(s)
Glucose Intolerance/chemically induced , Piperidines/administration & dosage , Pyrazoles/administration & dosage , Receptor, Cannabinoid, CB1/antagonists & inhibitors , Receptors, Dopamine/metabolism , Receptors, Serotonin/metabolism , Administration, Oral , Animals , Benzoxazines/pharmacology , Blood Glucose/drug effects , Dopamine Antagonists/pharmacology , Eating/drug effects , Fenclonine/pharmacology , Glucose/pharmacology , Glucose Intolerance/metabolism , Glucose Intolerance/physiopathology , Haloperidol/pharmacology , Hepatocytes/drug effects , Hepatocytes/metabolism , Infusions, Intraventricular , Insulin/blood , Male , Mice , Morpholines/pharmacology , Naphthalenes/pharmacology , Ondansetron/pharmacology , Rats , Rats, Sprague-Dawley , Receptor, Cannabinoid, CB1/agonists , Rimonabant , Serotonin Antagonists/pharmacology
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