Extensive outbreak of colistin resistant, carbapenemase (blaOXA-48, blaNDM) producing Klebsiella pneumoniae in a large tertiary care hospital, India

Background Extensive drug resistance in Klebsiella pneumoniae (K. pneumoniae) causing major outbreaks in large hospitals is an emerging challenge. We describe a near fatal outbreak of colistin resistant, carbapenem resistant K. pneumoniae (CRKp) producing metallo beta-lactamases (blaNDM) and blaOXA-48 in the neonatal intensive care unit (NICU) at the background of a larger outbreak involving multiple parts of the hospital and the challenges in its containment. Methods Following identification of an outbreak due to colistin resistant CRKp between April to June 2017 in the NICU, a thorough surveillance of similar cases and the hospital environment was performed to trace the source. All the isolated K. pneumoniae were tested for susceptibility to standard antibiotics by disc diffusion and microbroth dilution methods. Molecular detection of extended spectrum beta lactamases (ESBLs) and carbapenemases (classes A, B, D) genes was done. Enterobacterial repetitive intergenic consensus (ERIC) PCR and multi-locus sequence typing (MLST) was done to determine the genetic relatedness of the isolates. Characteristics of different sequence types were statistically compared (Student’s t-test). Results A total of 45 K. pneumoniae isolates were studied from NICU (14 cases of neonatal sepsis), ICU (18 cases), other wards (7 cases) along with 6 isolates from hospital environment and human colonizers. The primary case was identified in the ICU. All the K. pneumoniae from NICU and 94.4% from the ICU were colistin resistant CRKp. Majority (59.37% and 56.25%) harbored blaSHV/blaCTXM and blaOXA-48 genes, respectively. Two distinct sequence types ST5235 and ST5313 were noted with colistin resistance, distribution within the NICU and mortality as significant attributes of ST5235 (p < 0.05). The outbreak was contained with strengthening of the infection control practices and unintended short duration closure of the hospital. Conclusion Large hospital outbreaks with considerable mortality can be caused by non-dominant clones of colistin resistant CRKp harboring blaOXA-48 and blaNDM carbapenemases in endemic regions. The exact global impact of these sequence types should be further studied to prevent future fatal outbreaks.

Pandemic-related declines in hospitalization for non-COVID-19-related illness in the United States from January through July 2020

Background The COVID-19 pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has substantially impacted healthcare utilization worldwide. The objective of this retrospective analysis of a large hospital discharge database was to compare all-cause and cause-specific hospitalizations during the first six months of the pandemic in the United States with the same months in the previous four years. Methods Data were collected from all hospitals in the Premier Healthcare Database (PHD) and PHD Special Release reporting hospitalizations from January through July for each year from 2016 through 2020. Hospitalization trends were analyzed stratified by age group, major diagnostic categories (MDCs), and geographic region. Results The analysis included 286 hospitals from all 9 US Census divisions. The number of all-cause hospitalizations per month was relatively stable from 2016 through 2019 and then fell by 21% (57,281 fewer hospitalizations) between March and April 2020, particularly in hospitalizations for non-respiratory illnesses. From April onward there was a rise in the number of monthly hospitalizations per month. Hospitalizations per month, nationally and in each Census division, decreased for 20 of 25 MDCs between March and April 2020. There was also a decrease in hospitalizations per month for all age groups between March and April 2020 with the greatest decreases in hospitalizations observed for patients 50–64 and ≥65 years of age. Conclusions Rates of hospitalization declined substantially during the first months of the COVID-19 pandemic, suggesting delayed routine, elective, and emergency care in the United States. These lapses in care for illnesses not related to COVID-19 may lead to increases in morbidity and mortality for other conditions. Thus, in the current stage of the pandemic, clinicians and public-health officials should work, not only to prevent SARS-CoV-2 transmission, but also to ensure that care for non-COVID-19 conditions is not delayed.

Telephone communication with relatives of hospitalised COVID-19 patients by a specialised family support team: lessons learned

During March and April 2020, the number of hospital admissions and deaths due to the first wave of COVID-19 peaked. The objective of this study was to analyse the experiences of a team of health professionals in charge of breaking bad news over the telephone to the relatives of patients admitted to the respiratory ward of a large hospital in Barcelona. This was a qualitative research based on semi-structured individual interviews with all the members of the team and a group interview. The interviews were analysed using Condensation of Meaning techniques. Three central themes emerged after analysing the interviews: (1) the call itself, (2) the need for good organisational support both before and during a crisis, and (3) the care that the professionals themselves need. To set up a large-scale operation to break bad news over the phone, some organisational aspects must be considered that go beyond the call itself. All these aspects are interrelated to a large extent, and due attention should be given to proper communication and adequate care practices for both relatives and health workers.

Elevated Blood Pressure in Hospitalized Children Predicts True Elevated Blood Pressure Outpatient

OBJECTIVES: To determine if elevated blood pressure (EBP) in hospitalized children accurately predicts EBP outpatient. METHODS: A multicenter retrospective chart review was conducted at a large hospital system in Northeastern United States. Mean blood pressures during hospitalizations were classified as elevated or not elevated, by using the American Academy of Pediatrics (AAP) 2017 parameters. Mean blood pressure was then compared with each patient’s mean blood pressure measured 3 times postdischarge. The data were analyzed to determine if inpatient EBP is an accurate predictor of outpatient EBP. RESULTS: Of 5367 hospitalized children, 656 (12.2%) had EBP inpatient. Inpatient EBP was highly predictive of outpatient EBP, with a positive predictive value of 96% and negative predictive value of 98%. CONCLUSIONS: Diagnosing hospitalized children with EBP, as defined by the AAP 2017 guidelines, accurately predicts true EBP outpatient.

Context-aware genomic surveillance reveals hidden transmission of a carbapenemase-producing Klebsiella pneumoniae

Genomic surveillance can inform effective public health responses to pathogen outbreaks. However, integration of non-local data is rarely done. We investigate two large hospital outbreaks of a carbapenemase-carrying Klebsiella pneumoniae strain in Germany and show the value of contextual data. By screening about 10 000 genomes, over 400 000 metagenomes and two culture collections using in silico and in vitro methods, we identify a total of 415 closely related genomes reported in 28 studies. We identify the relationship between the two outbreaks through time-dated phylogeny, including their respective origin. One of the outbreaks presents extensive hidden transmission, with descendant isolates only identified in other studies. We then leverage the genome collection from this meta-analysis to identify genes under positive selection. We thereby identify an inner membrane transporter (ynjC) with a putative role in colistin resistance. Contextual data from other sources can thus enhance local genomic surveillance at multiple levels and should be integrated by default when available.

Retrospective Analysis of COVID-19 Pandemic Impact on Breast Cancer Screening Rates in Northwest Indiana

Background: Few changes to healthcare delivery during the COVID-19 pandemic altered pre-pandemic diagnostic testing as much as those made to cancer screening. Several studies show that screening volumes decreased by as much as 80% across multiple modalities and cancer types in the spring of 2020. These studies examined large hospital systems in the American East and West, but communities with predominantly Black populations like Gary, Indiana, have been absent from this research. Methods: Our study captures how the COVID-19 pandemic affected access to diagnostic screening for cancerous and precancerous breast lesions through mammography using patient-level data. “Hospital A” provided data from 17,973 mammography encounters that occurred between March 2019 and June 2021. Screening volumes from the eight-week period from March 23rd and May 17th in 2020, the period elective procedures were suspended, was compared to three other distinct periods: the previous 8-week period, the next 8-week period, and the same 8-week period from 2019. Results: From the 17,973 encounters, the average patient age was 61.7 (SD 11.4) years, 61.0% of patients paid with Medicare or Medicaid, and 66.0% of patients identified as Black. Despite performing a weekly average of 190 (12.3) mammograms during the 2019 baseline period and 158 (16.1) mammograms in the eight weeks preceding the COVID-19 pandemic, the weekly average fell to 13 (22.4) mammograms during the study period with zero occurring in a four-week stretch. Fortunately, volume returned sharply to near pre-pandemic levels in the eight weeks following the study period with 139 (18.9) average weekly mammograms. Conclusion: Despite a 93% year-over-year decrease in mammography during the height of the pandemic, volume returned in the summer of 2020. Concerning, however, is that average monthly volume (582 (88.5) mammograms) in the first six months of 2021 remains 22.1% lower than 2019 numbers (747 (66.7) mammograms).

The Development of an Enhanced Palliative Care Pharmacy Service during the Initial COVID-19 Surge

The Northern Health and Social Care Trust developed an enhanced palliative care pharmacy service for acute inpatients within a large hospital in Northern Ireland during the initial COVID-19 surge. By training additional staff, there was an opportunity to increase service provision, utilising palliative care pharmacy skills to undertake activities such as the symptom management of patients, appropriate management of medicines, improved access to medicines, advice for other healthcare professionals, and supporting discharge from the hospital. The data collected showed a mean of 6.8 interventions per patient, and that, irrespective of the demand resulting from the COVID-19 pandemic, the palliative care pharmacy team had a role in improving the quality of care for palliative and end-of-life patients. Subsequent data analysis also demonstrated associated cost saving and the potential for the palliative care pharmacy team to reduce the length of stay at the hospital.

Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals

Background Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processes from different patient groups. Methods To solve these problems, we proposed a novel process mining framework with time perspective, which integrates four steps: standard activity construction, data extraction and filtering, iterative model discovery, and performance analysis. Results It can visualize the execution of actual clinical activities hierarchically, evaluate the timeliness and identify bottlenecks in the treatment process. We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients’ data from a large hospital. Then we discovered process models with timelines, and identified the main reasons for in-hospital delay. Conclusions Experiment results demonstrate that the framework proposed could be a new way of drawing insights about hospitals’ clinical process, to help clinical institutions increase work efficiency and improve medical service.