RESUMO
Introduction High consumption of alcohol has an enormous toll on the health status of individuals. A direct affectation of cardiac integrity concerns cardiologists, primary care physicians, and the healthcare system because this increases the disease burden. Alcoholic cardiomyopathy (ACM) results from the enormous consumption of alcohol over a long period of time. The prevalence varies between regions and sex and ranges between 4% and 40%. Viewing the entire spectrum of cardiomyopathies, ACM makes up about 4% of all cardiomyopathies. However, it causes dilated-type cardiomyopathy and is the second most common cause of dilated cardiomyopathy. We sought to explore the outcomes of percutaneous coronary intervention (PCI) among patients with ACM. Methods This was a retrospective, cross-sectional study of the National Inpatient Sample (NIS) for hospital discharges in the United States between 2012 and 2014. We identified the number of patients with a primary or secondary diagnosis of ACM using the International Classification of Diseases, Ninth Revision (ICD-9) code of 4.255. Using the ICD-9 codes for PCI (00.66, 36.01, 36.02, 36.05, 36.06, 36.07, and 17.55), we identified patients diagnosed with ACM who underwent a PCI (ACPCI). The racial and sexual prevalence, hospital length of stay (LOS), mortality, cost of hospitalization, and cardiovascular outcomes (ventricular fibrillation (VF) and atrial fibrillation (AF)) were compared between patients with and without ACM who underwent a PCI. Results A total of 2,488,293 PCIs were performed between 2012 and 2014. Of these, there were a total of 161 admissions for ACM. About 93% (151) of the ACM PCI group were men. Ethnic distribution revealed a majority of Caucasians with 69% (98), and blacks and Asians at 13.4% (19) and 11.3% (16), respectively. The mean age was 59.8 (SD = 9). The patients with ACPCI were likely to stay longer in the hospital, with an average stay of 6.6 days (SD = 6.2) compared to patients without ACM undergoing PCI (NOACPCI) (3.7 days; SD = 5.0) (p = 0.0001). The mean cost of hospital admission for patients with ACPCI was $120,225 (SD = 101,044), while that of those without ACM who underwent PCI (NOACPCI) was $87,936 (SD = 83,947) (p = 0.0001). A higher death rate during hospitalization (3.7%) was recorded in the ACPCI category vs. 2.3% in patients without ACM who underwent PCI (p = 0.0001). Patients with ACPCI had a higher prevalence of AF (30.4%) than VF (7.5%). Conclusion The ACPCI group had overall poorer hospital outcomes. The majority affected were older Caucasian men with an increased prevalence of AF, higher cost of hospitalization, and longer hospital stays. Further studies are needed to explore the burden of long-term alcohol consumption on cardiovascular disease treatment outcomes.
RESUMO
Background and objective The role of the antibiogram in reducing hospital length of stay (LOS), mortality rate, health care costs, and, by extension, patients' social, physical, and emotional wellness has a significant impact on the medical community. Hospitals in large cities serve a dynamic population of diverse ethnic groups. Many scholarly works and publications have shown that the antimicrobial pattern in rural settings has significant variability annually. Over the last two years, the spread of coronavirus disease 2019 (COVID-19) has brought about many unknowns in the sphere of healthcare. The pattern of pathology accompanying COVID-19 has affected hospital policies and direct patient management, leading to a paradigm shift in approaches, policies, and resource utilization. The years 2019 to 2021 were marked by many admissions due to COVID-19, and the effects of COVID-19 are still being studied. In light of this, this study examined the changes in sensitivity patterns, new trends, and nature of bacteria isolates, antimicrobial rates, and susceptibility based on a rural hospital's annual antibiogram pertaining to its central departments: the intensive care unit (ICU), patient care unit (PCU), the outpatient unit, and emergency department (ED). Methods This five-year retrospective antibiogram review compared antibiogram patterns two years before the first case of COVID-19 was reported in the hospital and those two years after the initial outbreak. Results The organism comparative susceptibility tests for Escherichia coli (E. coli) were not significant except for increased susceptibility toward nitrofurantoin (p=0.003); Klebsiella pneumoniae (K. pneumoniae) was also not significant except for the increased susceptibility to ciprofloxacin (p=0.003). Pseudomonas aeruginosa (P. aeruginosa) had no changes in susceptibility patterns, while Proteus mirabilis (P. mirabilis) had increased susceptibility to imipenem (p=0.05), aztreonam (p=0.00), and meropenem (p=0.004), with reduced susceptibility to gentamicin (97.47% vs. 88.24%, p=0.006). There was a whopping decrease in the sensitivity of methicillin-resistant Staphylococcus aureus (MRSA) to clindamycin (75.93% vs. 50.7%, p=0.000), linezolid (99.54% vs. 88.73, p=0.004), trimethoprim/sulfamethoxazole (92.59% vs. 74.65%, p=0.001), and vancomycin (99.54% vs. 88.73%, p=0.004). Staphylococcus aureus (S. aureus) had no significant variation except an increase in susceptibility to nitrofurantoin (p=0.023), and perhaps ironically, Streptococcus pneumoniae (S. pneumoniae) had no significant changes in susceptibility pattern. Conclusion Our data demonstrate that the susceptibility of different drugs against different bacterial pathogens varied. However, some antibiotic drugs were found to have high susceptibility against different isolated organisms, and these drugs include amikacin, levofloxacin, vancomycin, cefotaxime, nitrofurantoin, and ceftriaxone. Some organisms showed a significantly declined antibiotic susceptibility, while others showed a significant improvement. The role of COVID-19 regarding these changes is unknown. COVID-19 may not be the cause of the observed differences. We believe that further research on antibiotic legislation and prescribing trends is required. Other non-significant study findings may be attributed to the limited data available to us.
