Microbial signatures predictive of short-term prognosis in severe pneumonia.

Objective: This retrospective cohort study aimed to investigate the composition and diversity of lung microbiota in patients with severe pneumonia and explore its association with short-term prognosis. Methods: A total of 301 patients diagnosed with severe pneumonia underwent bronchoalveolar lavage fluid metagenomic next-generation sequencing (mNGS) testing from February 2022 to January 2024. After applying exclusion criteria, 236 patients were included in the study. Baseline demographic and clinical characteristics were compared between survival and non-survival groups. Microbial composition and diversity were analyzed using alpha and beta diversity metrics. Additionally, LEfSe analysis and machine learning methods were employed to identify key pathogenic microorganism associated with short-term mortality. Microbial interaction modes were assessed through network co-occurrence analysis. Results: The overall 28-day mortality rate was 37.7% in severe pneumonia. Non-survival patients had a higher prevalence of hypertension and exhibited higher APACHE II and SOFA scores, higher procalcitonin (PCT), and shorter hospitalization duration. Microbial α and ß diversity analysis showed no significant differences between the two groups. However, distinct species diversity patterns were observed, with the non-survival group showing a higher abundance of Acinetobacter baumannii, Klebsiella pneumoniae, and Enterococcus faecium, while the survival group had a higher prevalence of Corynebacterium striatum and Enterobacter. LEfSe analysis identified 29 distinct terms, with 10 potential markers in the non-survival group, including Pseudomonas sp. and Enterococcus durans. Machine learning models selected 16 key pathogenic bacteria, such as Klebsiella pneumoniae, significantly contributing to predicting short-term mortality. Network co-occurrence analysis revealed greater complexity in the non-survival group compared to the survival group, with differences in central genera. Conclusion: Our study highlights the potential significance of lung microbiota composition in predicting short-term prognosis in severe pneumonia patients. Differences in microbial diversity and composition, along with distinct microbial interaction modes, may contribute to variations in short-term outcomes. Further research is warranted to elucidate the clinical implications and underlying mechanisms of these findings.

A Case Study of Severe Pneumonia Caused by mixed Infection of Chlamydia Abortus and Influenza a in a Female Patient.

Background: Chlamydia abortus is a zoonotic pathogen that causes miscarriage, stillbirth, and sepsis of pregnancy in pregnant women when it infects humans. However, it rarely causes pneumonia in humans. Case Presentation: This case reports a case of severe pneumonia characterized by high fever and cough, and the disease rapidly progressed to dyspnea. The patient was treated with moxifloxacin and doxycycline. Chlamydia abortus was detected in bronchoscopy examination and bronchoalveolar lavage fluid (BALF) through metagenomic next-generation sequencing (mNGS)-DNA. A weak positive for influenza A (H1N1) antigen was also found in the throat swab tested. Subsequently, we added mabaloxavir and replaced doxycycline with an intravenous infusion of omadacycline. After effective treatment, the patient developed a urinary tract infection, and the treatment plan was adjusted to meropenem combined with omadacycline. The patient's condition improved, and she was discharged on the 14th day of admission. Conclusion: This is the first report of cases of non-pregnant female patients with Chlamydia abortus infection pneumonia. Consequently, infections with Chlamydia abortus can result in severe respiratory distress, disturbance of water and electrolyte balance, and abnormal liver function, which requires timely diagnosis and correct use of antibiotics by clinicians. Consequently, the mixed infection of H1N1 and Chlamydia abortus aggravated the complexity of the condition and treatment. Combining tetracycline and quinolone is effective for treating severe pneumonia with Chlamydia abortus infection.

Severe Adenovirus Pneumonia Masked by Influenza Virus in an 11-Year-Old Child: A Case Report.

Background: Adenovirus pneumonia progresses rapidly, with a high rate of progression to severe pneumonia, but the early clinical manifestations lack specificity and are not easy to be recognized. Methods: Reviewing the relevant literatures, we studied and summarized the early recognition, clinical features and treatment outlook of severe adenovirus pneumonia Case Presentation: An 11-year-old child with community-acquired pneumonia, with influenza A antigen positive by colloidal gold, which further developed into acute respiratory distress syndrome after hospitalization. Three days later, adenovirus was detected positively by PCR of throat swab and diagnosed as severe adenovirus pneumonia. After aggressive treatment, her condition improved and was discharged from the hospital. Conclusion: Clinically, adenovirus combined with influenza virus infection is uncommon, and adenovirus infection is even rarer in adolescent children.

Predictors of mortality in severe pneumonia patients: a systematic review and meta-analysis.

BACKGROUND: Severe pneumonia has consistently been associated with high mortality. We sought to identify risk factors for the mortality of severe pneumonia to assist in reducing mortality for medical treatment. METHODS: Electronic databases including PubMed, Web of Science, EMBASE, Cochrane Library, and Scopus were systematically searched till June 1, 2023. All human research were incorporated into the analysis, regardless of language, publication date, or geographical location. To pool the estimate, a mixed-effect model was used. The Newcastle-Ottawa Scale (NOS) was employed for assessing the quality of included studies that were included in the analysis. RESULTS: In total, 22 studies with a total of 3655 severe pneumonia patients and 1107 cases (30.29%) of death were included in the current meta-analysis. Significant associations were found between age [5.76 years, 95% confidence interval [CI] (3.43, 8.09), P < 0.00001], male gender [odds ratio (OR) = 1.47, 95% CI (1.07, 2.02), P = 0.02], and risk of death from severe pneumonia. The comorbidity of neoplasm [OR = 3.37, 95% CI (1.07, 10.57), P = 0.04], besides the presence of complications such as diastolic hypotension [OR = 2.60, 95% CI (1.45, 4.67), P = 0.001], ALI/ARDS [OR = 3.63, 95% CI (1.78, 7.39), P = 0.0004], septic shock [OR = 9.43, 95% CI (4.39, 20.28), P < 0.00001], MOF [OR = 4.34, 95% CI (2.36, 7.95), P < 0.00001], acute kidney injury [OR = 2.45, 95% CI (1.14, 5.26), P = 0.02], and metabolic acidosis [OR = 5.88, 95% CI (1.51, 22.88), P = 0.01] were associated with significantly higher risk of death among patients with severe pneumonia. Those who died, compared with those who survived, differed on multiple biomarkers on admission including serum creatinine [Scr: + 67.77 mmol/L, 95% CI (47.21, 88.34), P < 0.00001], blood urea nitrogen [BUN: + 6.26 mmol/L, 95% CI (1.49, 11.03), P = 0.01], C-reactive protein [CRP: + 33.09 mg/L, 95% CI (3.01, 63.18), P = 0.03], leukopenia [OR = 2.63, 95% CI (1.34, 5.18), P = 0.005], sodium < 136 mEq/L [OR = 2.63, 95% CI (1.34, 5.18), P = 0.005], albumin [- 5.17 g/L, 95% CI (- 7.09, - 3.25), P < 0.00001], PaO2/FiO2 [- 55.05 mmHg, 95% CI (- 60.11, - 50.00), P < 0.00001], arterial blood PH [- 0.09, 95% CI (- 0.15, - 0.04), P = 0.0005], gram-negative microorganism [OR = 2.56, 95% CI (1.17, 5.62), P = 0.02], and multilobar or bilateral involvement [OR = 3.65, 95% CI (2.70, 4.93), P < 0.00001]. CONCLUSIONS: Older age and male gender might face a greater risk of death in severe pneumonia individuals. The mortality of severe pneumonia may also be significantly impacted by complications such diastolic hypotension, ALI/ARDS, septic shock, MOF, acute kidney injury, and metabolic acidosis, as well as the comorbidity of neoplasm, and laboratory indicators involving Scr, BUN, CRP, leukopenia, sodium, albumin, PaO2/FiO2, arterial blood PH, gram-negative microorganism, and multilobar or bilateral involvement. SYSTEMATIC REVIEW REGISTRATION: PROSPERO Protocol Number: CRD 42023430684.

Impact of early myocardial injury on patients with severe pneumonia.

Pneumonia often causes myocardial damage. This study sought to understand how early myocardial injury affects severe pneumonia patients' prognoses. This multi-center prospective cohort study from March 2020 to October 2023 comprised severe pneumonia patients. Binary logistic regression analysis examined how myocardial damage affects cardiac complications and acute renal injury (AKI). We used Spearman correlation analysis to examine the relationship between troponin I levels and the vasoactive inotropic score (VIS) in shock patients with myocardial injury. We used the Kaplan-Meier survival curve to evaluate the impact of myocardial injury on 30-day and 1-year survival rates. Mediation investigations examined how AKI and cardiac complications mediate myocardial injury and death. This study included 363 severe pneumonia patients, of whom 204 (56.2%) developed myocardial damage, 132 (36.4%) had cardiac problems, and 146 (40.2%) had AKI. Myocardial damage independently elevated the incidence of cardiac complications (OR = 2.548, 95% CI = 1.404-4.303, P = 0.002) and AKI (OR = 1.946, 95% CI = 1.177-3.219, P = 0.009). There was a positive link between troponin I and VIS in myocardial injury and shock patients (r = 0.43, P < 0.001). COX regression found myocardial injury to be a death risk (HR = 1.472, 95% CI = 1.043-2.077, P = 0.028). Adjusted Kaplan-Meier survival analysis showed significantly decreased short-term and long-term survival rates with myocardial injury (log-rank test P < 0.05). The mediation study showed that cardiac complications and AKI mediated myocardial injury and death by 19.30% and 17.18%, respectively. Early myocardial injury in severe pneumonia patients raises the likelihood of cardiac problems, AKI, and refractory shock, reducing short- and long-term survival.

Effect of Fu Zheng Jie Du Formula on outcomes in patients with severe pneumonia receiving prone ventilation: a retrospective cohort study.

Background: The effect of combining prone ventilation with traditional Chinese medicine on severe pneumonia remains unclear. Objective: To evaluate the effect of Fu Zheng Jie Du Formula (FZJDF) combined with prone ventilation on clinical outcomes in patients with severe pneumonia. Methods: This single-center retrospective cohort study included 188 severe pneumonia patients admitted to the ICU from January 2022 to December 2023. Patients were divided into an FZJD group (receiving FZJDF for 7 days plus prone ventilation) and a non-FZJD group (prone ventilation only). Propensity score matching (PSM) was performed to balance baseline characteristics. The primary outcome was the change in PaO2/FiO2 ratio after treatment. Secondary outcomes included 28-day mortality, duration of mechanical ventilation, length of ICU stay, PaCO2, lactic acid levels, APACHE II score, SOFA score, Chinese Medicine Score, inflammatory markers, and time to symptom resolution. Results: After PSM, 32 patients were included in each group. Compared to the non-FZJD group, the FZJD group showed significantly higher PaO2/FiO2 ratios, lower PaCO2, and lower lactic acid levels after treatment (p < 0.05 for all). The FZJD group also had significantly lower APACHE II scores, SOFA scores, Chinese Medicine Scores, and levels of WBC, PCT, hs-CRP, and IL-6 (p < 0.05 for all). Time to symptom resolution, including duration of mechanical ventilation, length of ICU stay, time to fever resolution, time to cough resolution, and time to resolution of pulmonary rales, was significantly shorter in the FZJD group (p < 0.05 for all). There was no significant difference in 28-day mortality between the two groups. Conclusion: FZJDF as an adjuvant therapy to prone ventilation can improve oxygenation and other clinical outcomes in severe pneumonia patients. Prospective studies are warranted to validate these findings.

Predictive ability of complete blood count, mean platelet ratio, mean platelet volume, and neutrophil/lymphocyte ratio for severe pneumonia among RT-PCR or radiologically proven COVID-19 patients.

Background: Immuno-inflammatory markers related to white blood cells, and platelets are shown to be associated with COVID-19 infection, and considered to be independent markers for clinical outcomes and mortality. The present study aimed to study the predictive value of these hematologic parameters in progression of COVID-19 to severe pneumonia. Methods: This was an analytical cross-sectional study conducted among RT-PCR or radiologically proven COVID-19 patients in a tertiary care hospital in Rajasthan. Semi-structured questionnaire was used to collect the epidemiological information of the patients with COVID-19. Complete blood count and other laboratory parameters were also studied among the patients. Results: Mean age of participants in the study was 52 years, with about 70% being males. Cough and breathlessness were the most common symptoms among the patients. It was found that the parameters related to white blood cells were significantly different between patients with COVID-19 infection and severe pneumonia (except absolute monocyte count). NLR was significantly higher among those with severe pneumonia. In the univariate analysis, age (OR - 1.02), NLR (OR - 1.16), and albumin (OR - 0.45) were found to be significant predictors of progression to severe pneumonia. In the final model, adjusted for confounders, only NLR and albumin levels significantly predicted progression to severe pneumonia among COVID-19 patients. Conclusion: The study consolidates the predictive ability of NLR for severe pneumonia. It is an important finding, as health facilities with limited access to laboratory investigations can rely on simple markers in routine practice to predict the progression of COVID-19 infection to severe pneumonia.

Effects of nursing team communication and collaboration on treatment outcomes in intensive care unit patients with severe pneumonia.

BACKGROUND: Severe pneumonia is a common severe respiratory infection worldwide, and its treatment is challenging, especially for patients in the intensive care unit (ICU). AIM: To explore the effect of communication and collaboration between nursing teams on the treatment outcomes of patients with severe pneumonia in ICU. METHODS: We retrospectively analyzed 60 patients with severe pneumonia who were treated at the ICU of the hospital between January 1, 2021 and December 31, 2023. We compared and analyzed the respiratory mechanical indexes [airway resistance (Raw), mean airway pressure (mPaw), peak pressure (PIP)], blood gas analysis indexes (arterial oxygen saturation, arterial oxygen partial pressure, and oxygenation index), and serum inflammatory factor levels [C-reactive protein (CRP), procalcitonin (PCT), cortisol (COR), and high mobility group protein B1 (HMGB1)] of all patients before and after treatment. RESULTS: Before treatment, there was no significant difference in respiratory mechanics index and blood gas analysis index between 2 groups (P > 0.05). However, after treatment, the respiratory mechanical indexes of patients in both groups were significantly improved, and the improvement of Raw, mPaw, plateau pressure, PIP and other indexes in the combined group after communication and collaboration with the nursing team was significantly better than that in the single care group (P < 0.05). The serum CRP and PCT levels of patients were significantly decreased, and the difference was statistically significant compared with that of nursing group alone (P < 0.05). The levels of serum COR and HMGB1 before and after treatment were also significantly decreased between the two groups. CONCLUSION: The communication and collaboration of the nursing team have a significant positive impact on respiratory mechanics indicators, blood gas analysis indicators and serum inflammatory factor levels in the treatment of severe pneumonia patients in ICU.

Time to recovery and its predictors among under-five children admitted with severe pneumonia in East Wallaga Zone public hospitals, western Ethiopia, 2023; a retrospective cohort study.

BACKGROUND: Globally, pneumonia is one of the leading causes of morbidity and mortality as well as hospitalization burden for under-five children. Despite significant initiatives implemented to reduce morbidity and mortality from pneumonia in under-five children, little is known regarding the time to recovery and its predictors among under-five children admitted with severe pneumonia in Ethiopia. Hence, this study intended to estimate the median time to recovery and its predictors among under-five children admitted with severe pneumonia in East Wallaga zone public hospitals, western Ethiopia; 2023. METHODS: An institution-based retrospective cohort study was conducted among 383 under-five children who were admitted with severe pneumonia in East Wallaga zone public hospitals from January 2017 to December 2022. A systematic sampling method was used to select eligible medical records. EpiData Version 4.6 was used to enter the data and analyzed using STATA Version 17.0. Cox-proportional hazard assumption test and model fitness were checked. Variables with P-value ˂ 0.25 at bivariable Cox regression analysis were selected for the multivariable Cox proportional model. A multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from severe pneumonia at a P-value < 0.05. RESULTS: At the end of the follow-up, 356 observations were developed an event (recovered) with the median time to recovery of 4 days with IQR of 3-5 days. The overall incidence rate of recovery was 22.26 per 100 (95% CI: 20.07-24.70) person-days observations. Being rural residency (AHR: 0.75, 95% CI: 0.60-0.93), late presenters for seeking care (AHR = 0.70, 95% CI: 0.53-0.93), presence of danger sign at admission (AHR = 1.46, 95% CI: 1.15-1.83), and presence of comorbidity (AHR = 1.63, 95% CI, 1.31-2.04) were found to have a statistically significant association with prolonged recovery time. CONCLUSION: The median time to recovery from severe pneumonia was long, and factors such as Residence, co-morbidity, presence of danger signs, and duration prior to seeking care were statistically significant predictors of recovery time from severe pneumonia. Hence, due attention has to be given to increasing the community's health-seeking behavior to visit health facility early and especial attention should be given for children with danger signs and comorbidity.

Clinical application of targeted next-generation sequencing in severe pneumonia: a retrospective review.

BACKGROUND: The precise identification of the underlying causes of infectious diseases, such as severe pneumonia, is essential, and the development of next-generation sequencing (NGS) has enhanced the effectiveness of pathogen detection. However, there is limited information on the systematic assessment of the clinical use of targeted next-generation sequencing (tNGS) in cases of severe pneumonia. METHODS: A retrospective analysis was conducted on 130 patients with severe pneumonia treated in the ICU from June 2022 to June 2023. The consistency of the results of tNGS, metagenomics next-generation sequencing (mNGS), and culture with the clinical diagnosis was evaluated. Additionally, the results for pathogens detected by tNGS were compared with those of culture, mNGS, and quantitative reverse transcription PCR (RT-qPCR). To evaluate the efficacy of monitoring severe pneumonia, five patients with complicated infections were selected for tNGS microbiological surveillance. The tNGS and culture drug sensitisation results were then compared. RESULTS: The tNGS results for the analysis of the 130 patients showed a concordance rate of over 70% with clinical diagnostic results. The detection of pathogenic microorganisms using tNGS was in agreement with the results of culture, mNGS, and RT-qPCR. Furthermore, the tNGS results for pathogens in the five patients monitored for complicated infections of severe pneumonia were consistent with the culture and imaging test results during treatment. The tNGS drug resistance results were in line with the drug sensitivity results in approximately 65% of the cases. CONCLUSIONS: The application of tNGS highlights its promise and significance in assessing the effectiveness of clinical interventions and providing guidance for anti-infection therapies for severe pneumonia.

Tropheryma whipplei pneumonia revealed by Metagenomic next-generation sequencing: Report of two cases.

Tropheryma whipplei is the causative agent of Whipple's disease, which is a rare multiorgan systemic disease. We report two cases of Tropheryma whipplei infection, all routine tests were negative and it was finally detected by mNGS. This may help clinicians increase awareness of the diagnosis and treatment of acute severe pneumonia and interstitial pneumonia caused by Tropheryma whipplei.

A Review of Current Evidence for the Use of Steroids in the Medical Intensive Care Unit.

Systemic steroids are frequently used in critically ill patients for their anti-inflammatory properties. Potential benefits of these agents should be balanced against their known side effects. In this paper, we review trials assessing the use of systemic steroids in common conditions requiring admission to the intensive care unit. These include septic shock, the acute respiratory distress syndrome, severe pneumonia, COVID-19, and hypercapnic respiratory failure due to chronic obstructive pulmonary disease. We will mainly focus on well-conducted randomized controlled trials to determine whether steroids should be administered to critically ill patients presenting with these conditions.

Clinical characteristics and prognosis of patients with severe pneumonia with Pneumocystis jirovecii colonization: A multicenter, retrospective study.

BACKGROUND: For decades, the incidence and clinical characteristics of Pneumocystis jirovecii (P. jirovecii) colonization in patients with severe pneumonia was remained unclear. RESEARCH QUESTION: What are the clinical features and outcomes associated with P. jirovecii colonization in individuals diagnosed with severe pneumonia? STUDY DESIGN AND METHODS: In this multicenter, retrospective, matched study, severe pneumonia patients who underwent bronchoalveolar lavage clinical metagenomics from 2019 to 2023 in the ICUs of 17 medical centers were enrolled. Patients were diagnosed based on clinical metagenomics, pulmonary CT scans, and clinical presentations. Clinical data were collected retrospectively, and according to propensity score matching and Cox multivariate regression analysis, the prognosis of patients with P. jirovecii colonization was compared to that of P. jirovecii-negative patients. RESULTS: 40% of P. jirovecii positive patients are considered to have P. jirovecii colonization. P. jirovecii colonization group had a higher proportion of patients with immunosuppression and a lower lymphocyte count compared to P. jirovecii-negative group. More frequent detection of cytomegalovirus, Epstein-Barr virus, human herpesvirus-6B, human herpesvirus-7, and torque teno virus in the lungs was associated with P. jirovecii colonization than with P. jirovecii negativity. By constructing two cohorts through propensity score matching, we incorporated codetected microorganisms and clinical features into a Cox proportional hazards model and revealed that P. jirovecii colonization was an independent risk factor for mortality in severe pneumonia patients. According to sensitivity analyses, which included or excluded codetected microorganisms, as well as patients not receiving TMP-SMX treatment, similar conclusions were reached. INTERPRETATION: Immunosuppression and a reduced lymphocyte count were identified as risk factors for P. jirovecii colonization in non-PCP patients. More frequent detection of various viruses was observed in P. jirovecii colonization patients, and P. jirovecii colonization was associated with an increased 28-day mortality in patients with severe pneumonia.

Factors associated with severe pneumonia among children <5 years, Kasese District, Uganda: a case-control study, January-April 2023.

BACKGROUND: Pneumonia is one of the leading causes of infant mortality globally, particularly in sub-Saharan Africa. In Uganda, pneumonia was the fourth leading cause of death in children <5 years in 2018. Analysis of 2013-2022 data for children <5 years from the District Health Information System indicated a high incidence of severe pneumonia in Kasese District, Uganda. We investigated to identify factors associated with severe pneumonia among children <5 years in Kasese District to inform prevention and control strategies. METHODS: We conducted a 1:1 hospital-based case-control study among children aged 2-59 months presenting with pneumonia at five high-volume facilities in Kasese District from January to April 2023. A case was defined as pneumonia with ≥1 of the following danger signs: low oxygen saturation, central cyanosis, severe respiratory distress, feeding difficulties, altered consciousness, and convulsions. Controls were outpatient children aged 2-59 months with a diagnosis of non-severe pneumonia. We reviewed medical records at facilities and used an interviewer-administered questionnaire with caregivers to obtain information on socio-demographic and clinical characteristics. Logistic regression was used to identify factors associated with severe pneumonia. RESULTS: We enrolled 199 cases and 174 controls. The odds of severe pneumonia were higher among children with diarrhoea only (adjusted odds ratio [aOR] = 2.9, 95%CI: 1.7-4.9), or malaria and diarrhoea (aOR = 3.4, 95%CI: 2.0-5.9), than those without a co-existing illness at the time of pneumonia diagnosis. Not being exclusively breastfed for ≥ 6 months (aOR = 2.0, 95%CI: 1.1-3.3) and exposure to indoor air pollution from cooking combustion sources (aOR = 2.9, 95%CI: 1.8-4.7) increased odds of severe pneumonia. CONCLUSION: The findings highlight the significance of comorbidities, lack of exclusive breastfeeding, and exposure to indoor air pollution in the development of severe pneumonia. Promoting exclusive breastfeeding for ≥ 6 months and advocating for the use of clean energy sources, could mitigate morbidity attributable to severe pneumonia in the region.

The role of gut microbiota and the gut-lung axis in sepsis: A case study of a pregnant woman with severe rickettsial pneumonia and septic shock complicated by MODS.

Key Clinical Message: In this case report, we describe the successful management of severe scrub typhus with pneumonia, sepsis, and multiple organ dysfunction in a pregnant woman. Despite initial challenges, the patient responded favorably to fecal microbiota transplantation and oral fecal microbiota capsule therapy. Abstract: Scrub typhus, caused by Orientia tsutsugamushi, can lead to severe multiorgan dysfunction and carries a mortality rate of up to 70% if not treated properly. In this report, we present the case of a 27-year-old pregnant woman at 18 + 6 weeks gestation whose symptoms worsened 15 days after onset and progressed to severe pneumonia with sepsis and multiple organ dysfunction syndrome. After the pathogen was confirmed by next-generation sequencing analysis of bronchoalveolar-lavage fluid and blood samples, the patient's treatment was switched to antiinfective chloramphenicol. The patient also underwent uterine evacuation due to a miscarriage. Extracorporeal membrane oxygenation was discontinued once the pulmonary infection significantly improved. Subsequently, the patient had recurrent diarrhea, abdominal distension, and difficulty eating. The antibiotic regimen was adjusted according to the drug sensitivity, but the diarrhea and abdominal distension still did not improve. Following a comprehensive multidisciplinary risk assessment, we initiated fecal microbiota transplantation and oral fecal microbiota capsule therapy. As a result, the patient's condition was effectively managed, and they were gradually discharged. Fecal microbiota transplantation may be a safe and effective treatment for severe pneumonia and shock in pregnant women. This has significant implications for maternal health. However, further clinical cases are required to observe its long-term effectiveness.

Recovery Time From Severe Community Acquired Pneumonia and Risk Factors Among Pediatrics, Ethiopia: A Retrospective Follow-Up Study.

Introduction. Severe community acquired pneumonia (CAP) is a life-threatening condition, with high rates of morbidity and mortality. This study aimed to determine the recovery time from severe CAP and risk factors among pediatric patients. Methods. A retrospective follow-up study was conducted among 412 pediatric medical charts with severe CAP enrolled at Asella Referral and Teaching Hospital between January 01, 2021 and December 31, 2022. EpiData version 4.6.0.6 and STATA version 14.2 were used for data entry and statistical analysis, respectively. Bivariable and multivariable Cox proportional hazards regression analyzes were performed. Result. The median recovery time from severe CAP among pediatric patients was 5 days (IQR = 3-8 days). IDR of recovery from severe CAP was 13.089 per 100 [95%CI: 11.82, 14.49] pediatric days observations. The cumulative incidence of recovery from severe CAP was 89.56% [n = 369, 95%CI: 86.20, 92.18]. Age [AHR = 1.55, 95%CI: 1.12, 2.13, P = .007], vaccination status [AHR = 1.29, 95%CI: 1.03, 1.63, P = .027], presence of danger signs [AHR = 1.61, 95%CI: 1.26, 2.05, P = .000], presence of comorbidity [AHR = 1.67, 95%CI: 1.33, 2.10, P = .000], duration of seeking care [AHR = 1.71, 95%CI: 1.18, 2.47, P = .004], and oxygen therapy [AHR = 1.45, 95%CI:1.12, 1.87, P = .004] were statistically significant risk factors for recovery time from severe CAP. Conclusions. The median recovery time of patients with severe CAP is relatively high. Age, vaccination status, presence of danger signs, presence of comorbidities, duration of seeking care, and oxygen therapy were statistically significant risk factors of recovery time from severe CAP.

The diagnostic value of bronchoalveolar lavage fluid metagenomic next-generation sequencing in critically ill patients with respiratory tract infections.

Metagenomic next-generation sequencing (mNGS) is an unbiased and rapid method for detecting pathogens. This study enrolled 145 suspected severe pneumonia patients who were admitted to the Affiliated Hospital of Jining Medical University. This study primarily aimed to determine the diagnostic performance of mNGS and conventional microbiological tests (CMTs) using bronchoalveolar lavage fluid samples for detecting pathogens. Our findings indicated that mNGS performed significantly higher sensitivity (97.54% vs 28.68%, P < 0.001), coincidence (90.34% vs 35.17%, P < 0.001), and negative predictive value (80.00% vs 13.21%, P < 0.001) but performed lower specificity than CMTs (52.17% vs 87.5%, P < 0.001). Streptococcus pneumoniae as the most common bacterial pathogen had the largest proportion (22.90%, 30/131) in this study. In addition to bacteria, fungi, and virus, mNGS can detect a variety of atypical pathogens such as Mycobacterium tuberculosis and non-tuberculous. Mixed infections were common in patients with severe pneumonia, and bacterial-fungal-viral-atypical pathogens were the most complicated infection. After adjustments of antibiotics based on mNGS and CMTs, the clinical manifestation improved in 139 (95.86%, 139/145) patients. Our data demonstrated that mNGS had significant advantage in diagnosing respiratory tract infections, especially atypical pathogens and fungal infections. Pathogens were detected timely and comprehensively, contributing to the adjustments of antibiotic treatments timely and accurately, improving patient prognosis and decreasing mortality potentially.IMPORTANCEMetagenomic next-generation sequencing using bronchoalveolar lavage fluid can provide more comprehensive and accurate pathogens for respiratory tract infections, especially when considering the previous usage of empirical antibiotics before admission or complicated clinical presentation. This technology is expected to play an important role in the precise application of antimicrobial drugs in the future.

The role of pre-onset hair hormone in predicting the prognosis of patients with severe pneumonia and acute COVID-19 outbreak.

Numerous research works have investigated the potential impact of endocrine hormones on the severity of COVID-19-related pneumonia in individuals. However, there are few studies on the effect of pre-onset neuroendocrine hormones on the prognosis of COVID-19 patients. This study looked into the prognostic value of pre-onset hair hormone levels in COVID-19 infected individuals. This study included 27 patients with COVID-19 and collected patient information and laboratory indicators. The hormone levels in hair were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Within 28 days, 63 % of the patients in this study passed away. With 28-day mortality as the outcome index, urea nitrogen, CURB-65 score and pneumonia severity score (PSI) of 2 groups were statistically significant (P < 0.05). Among all hormone levels detected in hair, only progesterone level was substantially correlated negatively with COVID-19 patients' 28-day mortality(P < 0.05). The level of progesterone in hair was substantially adversely connected with the death rate at 28 days of COVID-19 patients, according to correlation and logistic regression analysis(P < 0.05). Among patients with COVID-19 pneumonia, hair progesterone levels were strongly associated with 28-day mortality, which emphasizes hair progesterone's importance as a prognostic factor.

LncRNA RP11-773H22.4 is upregulated in severe pneumonia and may be a diagnostic and prognostic marker for severe pneumonia.

The incidence of pneumonia has become increasingly prevalent, and its severity has been continuously escalating, bringing significant damage and stress to people's lives. The regulatory role of RP11-773H22.4 in the onset and development of severe pneumonia is emerging as an important factor, however, the exact mechanisms controlling its effects have not been fully elucidated. ROC curve and Kaplan-Meier curve were employed to assess the diagnostic and prognostic significance of RP11-773H22.4 in severe pneumonia. qRT-PCR was employed to assess the RP11-773H22.4 and miR-1287-5p expression. The CCK-8 was employed to assess cell viability. The rate of apoptosis was measured utilizing flow cytometric. The concentration of inflammatory factors was detected by ELISA kit. The interaction between RP11-773H22.4 and miR-1287-5p was verified by dual luciferase reporter gene assay. In individuals afflicted with severe pneumonia, there was an observed up-regulation in RP11-773H22.4 expression and a corresponding decline in miR-1287-5p expression. RP11-773H22.4 demonstrated diagnostic and prognostic significance for severe pneumonia. RP11-773H22.4 augmented the viability of MRC-5 cells with LPS treatment by modulating miR-1287-5p, leading to a reduction in apoptosis and lower levels of inflammatory cytokines. RP11-773H22.4 was highly expressed in severe pneumonia and may serve as a diagnostic and prognostic marker for severe pneumonia. miR-1287-5p was downregulated in severe pneumonia, and RP11-773H22.4 participated in the pathogenesis of severe pneumonia by regulating the expression of miR-1287-5p.