Clinical complications seen in patients after recovery from coronavirus disease 2019: Experience from a COVID care center.

We have had recent experience that patients who have recovered from coronavirus disease 2019 (COVID-19) infection are being readmitted with thromboembolic complications, and some have had sudden cardiac death. There is paucity of literature on such presentations after clinical and microbiological recovery. In the present case series, we present five such patients recently managed at our COVID-19 care facility. All the patients described were elderly (mean age: 66 years) with multiple comorbidities (mean Charlson Comorbidity Index score: 3.5). Two were initially managed at another COVID care facility and discharged. They were admitted at our center within one week of discharge. One patient who was managed at our center was discharged and then readmitted. The other two had recovered from their illness and were planned for discharge (mean duration of hospital stay in initial admission: 14.4 days). All presented within one week of clinical and microbiological recovery (mean: 4.2 days). All were on adequate anticoagulation during initial presentation. All these patients had raised D-dimer levels (three suffered sudden cardiac arrest, one had a confirmed pulmonary thromboembolism, and one had acute ST-elevation myocardial infarction). Thromboembolic complications should be considered an important differential diagnosis in all patients who present with any complication in the immediate follow-up period of recovery from COVID-19 disease. Repeat analysis of D-dimer levels at follow-up may be considered in those who recovered from severe disease. Extended period of anticoagulation and close follow-up may be considered in all patients with COVID-19 who are at high risk of developing thromboembolic complications.

The psychological impact of COVID-19 among newly diagnosed patients: COVID Impact study.

BACKGROUND: COVID-19 has had adverse psychological impact on the general population. Most surveys published till date are online questionnaires targeting general population/health care providers. There is lack of data on the psychological impact of disease on newly diagnosed COVID-19 patients. METHODS: The study was conducted at a tertiary care hospital, actively involved in the management of COVID patients. Newly diagnosed COVID-19 patients who had presented to the outpatient COVID care clinic were interviewed face to face by an interviewer using 'Impact of Event Scale-Revised (IES-R)', a validated and universally accepted research questionnaire. RESULTS: Most of the respondents were males (83.2%), mean age: 40.8 years. 31.7% were graduates and 58.5% were actively employed. Fever (57.4%), cough (37.6%), and progressive breathlessness (08.9%) were the three most common clinical symptoms. The mean score on 'IES-R' was 31.8. 30.7% respondents had suffered 'severe' psychological impact, 30.7% had 'minimal' impact. 19.8% and 1.8% had 'mild' and 'moderate' psychological impact respectively. On linear regression analysis, increasing age had statistically significant corelation with increasing scores on 'IES-R scale' (p = 0.004). Educational qualifications of the patient had negative corelation (Pearson correlation=- 0.117) while none of the clinical parameters had any statistically significant correlation with the patients' psychological impact scores. CONCLUSION: COVID-19 patients are at an increased risk of suffering from disease-related adverse psychological impact. Certain risk groups especially like the elderly need close follow-up for early diagnosis and management. Future studies may be required to assess and manage 'post-traumatic stress disorder' that may arise in the aftermath of pandemic.

Study of apoptosis-related interactions in colorectal cancer.

Abnormalities in apoptotic functions contribute to the pathogenesis of colorectal cancer. In this study, molecular interactions behind the apoptotic regulation have been explored. For this purpose, enrichment analysis was performed considering microRNAs (miRNAs) that putatively target TP53 and altered during colon cancer. This revealed gene associated with both TP53 and miRNAs. Further analysis showed that a significant molecular interaction between the shortlisted candidates (TP53, miR-143, KRAS, BCL2, and PLK1) exists. Mutation study was conducted to confirm the clinical relevance of candidates. It showed that the mutation extent does not significantly alter survival in patients thus making these candidates suitable as drug targets. Overall, we showed the importance of interactions between TP53, miR-143, KRAS, BCL2, and PLK1 with respect to colorectal cancer using bioinformatics approach.

Utility of a multiplex pathogen detection system directly from respiratory specimens for treatment and diagnostic stewardship.

The availability of syndrome-based panels for various ailments has widened the scope of diagnostics in many clinical settings. These panels can detect a multitude of pathogens responsible for a particular condition, which can lead to a timely diagnosis and better treatment outcomes. In contrast to traditional identification methods based on pathogen growth on culture, syndrome-based panels offer a quicker diagnosis, which can be especially beneficial in situations requiring urgent care, such as intensive care units. One such panel is the Biofire Filmarray Pneumonia plus Panel (BFP), which we have compared against microbiological culture and identification. The lower respiratory samples from patients were tested with BFP, culture, and identification with culture considered the gold standard. The phenotypic antibiotic susceptibility results (Vitek 2) were compared with the antimicrobial resistance (AMR) genes detected in BFP. Statistical analysis was carried out using GraphPad 7.0 and MS Excel (Microsoft Inc.). The results showed a positive percent agreement of 100% and a negative percent agreement of 47.8% with an overall agreement of 76.72% compared to culture. BFP was better at identifying fastidious bacteria, and the agreement with culture was higher for high bacterial identification numbers (107 and 106). There was also a correlation between the number of pathogens detected and growth in culture. Carbapenemase genes were detected in around 80% of phenotypically resistant samples and correlated with in-house PCR 60% of the time. Hence, BFP results need to be interpreted with caution especially when multiple pathogens are detected. Similarly, the presence or absence of AMR genes should be used to guide the therapy while being watchful of unusual resistance or susceptibility. The cost constraints and low throughput call for patient selection criteria and prioritization in emergency or resource-limited conditions.IMPORTANCEApplication of syndrome-based panels in clinical microbiology is of huge support in infectious conditions requiring urgent interventions, such as pneumonia. Interpreting the results requires caution; hence, we have compared the results obtained from Biofire Filmarray Pneumonia plus Panel with standard microbiological methods.