Plica Neuropathica in 2 Hispanic Patients.

Introduction: Plica neuropathica (PN) is a rare, acquired, and irreversible condition characterized by the formation of a compacted mass of tangled hair held together by a hard keratin cement. Case Presentation: In case 1, a 50-year-old woman with history of contact dermatitis of the scalp presented with hair tangling and difficulty combing. Physical examination revealed a matted mass of hair with a dirty appearance and non-scarring alopecia. Case 2 involved a 46-year-old woman who experienced spontaneous hair matting after using various products, resulting in a dreadlock-like appearance. Clinical examination showed a compact and matted mass of hair with irregular twists, dirt, and yellowish exudate. Conclusion: PN's exact pathogenesis is not fully understood, but it is believed to involve physical and chemical insults to the hair shaft. Risk factors include self-neglect, hair felting or rubbing, certain substances, religious practices, chemotherapy, immunosuppressive drugs, infections, and contact dermatitis. Trichoscopy can provide valuable clues for an accurate diagnosis, such as fractured hairs, bent hair shafts, trichorrhexis nodosa, retained telogen hairs, and twisted hairs. Treatment involves cutting the matted hair, and early-stage manual separation may be beneficial.

Clinical and Prognostic Impact of Low Diffusing Capacity for Carbon Monoxide Values in Patients With Global Initiative for Obstructive Lung Disease I COPD.

BACKGROUND: The Global Initiative for Obstructive Lung Disease (GOLD) does not promote diffusing capacity for carbon monoxide (Dlco) values in the evaluation of COPD. In GOLD spirometric stage I COPD patients, the clinical and prognostic impact of a low Dlco has not been explored. RESEARCH QUESTION: Could a Dlco threshold help define an increased risk of death and a different clinical presentation in these patients? STUDY DESIGN AND METHODS: GOLD stage I COPD patients (n = 360) were enrolled and followed over 109 ± 50 months. Age, sex, pack-years' history, BMI, dyspnea, lung function measurements, exercise capacity, BODE index, and history of exacerbations were recorded. A cutoff value for Dlco was identified for all-cause mortality and the clinical and physiological characteristics of patients above and below the threshold compared. Cox regression analysis explored the predictive power of that cutoff value for all-cause mortality. RESULTS: A Dlco cutoff value of <60% predicted was associated with all-cause mortality (Dlco ≥ 60%: 9% vs Dlco < 60%: 23%, P = .01). At a same FEV1% predicted and Charlson score, patients with Dlco < 60% had lower BMI, more dyspnea, lower inspiratory capacity (IC)/total lung capacity (TLC) ratio, lower 6-min walk distance (6MWD), and higher BODE. Cox multiple regression analysis confirmed that after adjusting for age, sex, pack-years history, smoking status, and BMI, a Dlco < 60% is associated with all-cause mortality (hazard ratio [HR], 95% CI = 3.37, 1.35-8.39; P = .009) INTERPRETATION: In GOLD I COPD patients, a Dlco < 60% predicted is associated with increased risk of death and worse clinical presentation. What the cause(s) of this association are and whether they can be treated need to be determined.

The neutrophil to lymphocyte and platelet to lymphocyte ratios as biomarkers for lung cancer development.

OBJECTIVES: Elevated neutrophil-to-lymphocyte ratios (NLR) and platelet-to-lymphocyte ratios (PLR) at time of cancer diagnosis have been associated to poor prognosis in various cancers. There is no data on their natural progression before the cancer diagnosis has been established. We aim to evaluate whether or not the annual changes in these ratios could be early indicators of lung cancer development. MATERIALS AND METHODS: Participants recruited into the Pamplona International Early Lung Cancer Action Program (P-IELCAP, n=3061) between 2001 and 2015 were considered. Complete blood counts (CBC) were registered at annual intervals between enrolment and time of diagnosis. Linear regression was used to calculate the mean annual change in NLR and PLR in participants with ≥3CBCs. Changes were expressed relative to baseline values. Lung cancer incidence density and lung cancer risk (Cox regression analysis) were calculated for different NLR and PLR annual thresholds (<0%, ≥0%, ≥1%, ≥2%, ≥4%). Results were compared to a matched group of participants who did not develop lung cancer. RESULTS: After a median follow-up of 80 months and a median of 4 (IQR 3-6) CBCs, subjects who developed lung cancer (n=32) showed greater NLR and PLR annual changes than matched controls (n=103) (2.56% vs. 0.27% [p=0.25] per year; and 3.75% vs. 0.33% [p=0.053] per year, respectively). Lung cancer incidence density per 100 person-years increased with higher annual NLR and PLR thresholds. On multivariable analysis (adjusting for emphysema and baseline lung-function), NLR and PLR were not significant lung cancer predictors. However, among individuals with emphysema, for each relative unit increase in PLR, lung cancer risk increased 5% (p=0.03). There was a significant supra-additive risk effect between PLR increase and emphysema. Annual NLR change was not a significant lung cancer predictor. CONCLUSION: In a lung cancer screening setting, the assessment of annual PLR change could help predict lung cancer development.